IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
Virtual: https://events.vtools.ieee.org/m/324472IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
Virtual: https://events.vtools.ieee.org/m/324472IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
Virtual: https://events.vtools.ieee.org/m/324472IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
Virtual: https://events.vtools.ieee.org/m/324472IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
Virtual: https://events.vtools.ieee.org/m/324472IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
Virtual: https://events.vtools.ieee.org/m/324472IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
Virtual: https://events.vtools.ieee.org/m/324472IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
Virtual: https://events.vtools.ieee.org/m/324472IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
Virtual: https://events.vtools.ieee.org/m/324472IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
Virtual: https://events.vtools.ieee.org/m/324472IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
Virtual: https://events.vtools.ieee.org/m/324472Week of Events
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
IEEE-DAY,” Gait and Soft Biometrics”; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #1 of 4
With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
IEEE-DAY, ” Handwriting Recognition: A Perspective on Two Decades of Innovations”, GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #2 of 4
We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
IEEE-DAY,”Advanced Nano-Sensors for Health Care Applications “; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #3 of 4
With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
IEEE-DAY,When Quality Matters – Systems Approach to Safety Risk Management of Medical Devices; GBS BIOMETRIC AND SYSTEMS WEEK, WEBINAR #4 of 4
When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477