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Book
Sensors, Signal and Image Processing in Biomedicine and Assisted Living
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Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers.

Keywords

Information technology industries --- high efficiency video coding --- low complexity --- hardware friendly --- vehicular ad-hoc networks --- color vision deficiency --- image re-coloring --- visual assistance --- video pletysmography --- image processing --- heart rate estimation --- human-computer interaction --- biomedicine --- healthcare --- assisted living --- action classification --- human motor behavior --- computer vision --- deep learning --- pose tracking --- Brain-Computer Interface --- Blind Source Separation --- Movement Related Independent Component --- Wavelet Transform --- Convolutional Neural Network --- brain cancer --- hyperspectral imaging --- intraoperative imaging --- feature selection --- image-guided surgery --- genetic algorithm --- particle swarm optimization --- ant colony optimization --- support vector machine --- machine learning --- visual perception --- electrocardiogram (ECG) coder --- non-uniform sampling --- telecardiology --- compressed sensing --- strain gauge --- tremor quantification --- Parkinson’s disease --- action tremors --- wearables --- biosensors --- sleep --- Fitbit --- Oura --- Hexoskin --- Withings --- cognition --- medical optics and biotechnology --- optical pathology --- convolutional neural networks --- tissue diagnostics --- tissue characterization --- glioblastoma --- contactless measurement --- vital signs --- RGB-thermal image processing --- infection diseases --- artificial neural network --- Doppler radar --- heart rate --- real-time processing --- visually challenged --- navigation --- image analysis --- fuzzy sets --- convolutional neural networks (CNNs) --- eye tracking --- motorized wheelchair --- ultrasonic proximity sensors --- laryngeal cancer --- contact endoscopy --- narrow band imaging --- automatic classification --- feature extraction --- Barrett neoplasia --- tissue detection --- recurrent neural networks --- upper GI tract --- n/a --- Parkinson's disease


Book
Sensors, Signal and Image Processing in Biomedicine and Assisted Living
Author:
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers.

Keywords

high efficiency video coding --- low complexity --- hardware friendly --- vehicular ad-hoc networks --- color vision deficiency --- image re-coloring --- visual assistance --- video pletysmography --- image processing --- heart rate estimation --- human-computer interaction --- biomedicine --- healthcare --- assisted living --- action classification --- human motor behavior --- computer vision --- deep learning --- pose tracking --- Brain-Computer Interface --- Blind Source Separation --- Movement Related Independent Component --- Wavelet Transform --- Convolutional Neural Network --- brain cancer --- hyperspectral imaging --- intraoperative imaging --- feature selection --- image-guided surgery --- genetic algorithm --- particle swarm optimization --- ant colony optimization --- support vector machine --- machine learning --- visual perception --- electrocardiogram (ECG) coder --- non-uniform sampling --- telecardiology --- compressed sensing --- strain gauge --- tremor quantification --- Parkinson’s disease --- action tremors --- wearables --- biosensors --- sleep --- Fitbit --- Oura --- Hexoskin --- Withings --- cognition --- medical optics and biotechnology --- optical pathology --- convolutional neural networks --- tissue diagnostics --- tissue characterization --- glioblastoma --- contactless measurement --- vital signs --- RGB-thermal image processing --- infection diseases --- artificial neural network --- Doppler radar --- heart rate --- real-time processing --- visually challenged --- navigation --- image analysis --- fuzzy sets --- convolutional neural networks (CNNs) --- eye tracking --- motorized wheelchair --- ultrasonic proximity sensors --- laryngeal cancer --- contact endoscopy --- narrow band imaging --- automatic classification --- feature extraction --- Barrett neoplasia --- tissue detection --- recurrent neural networks --- upper GI tract --- n/a --- Parkinson's disease


Book
Sensors, Signal and Image Processing in Biomedicine and Assisted Living
Author:
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Bookmark

Abstract

This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers.

Keywords

Information technology industries --- high efficiency video coding --- low complexity --- hardware friendly --- vehicular ad-hoc networks --- color vision deficiency --- image re-coloring --- visual assistance --- video pletysmography --- image processing --- heart rate estimation --- human-computer interaction --- biomedicine --- healthcare --- assisted living --- action classification --- human motor behavior --- computer vision --- deep learning --- pose tracking --- Brain-Computer Interface --- Blind Source Separation --- Movement Related Independent Component --- Wavelet Transform --- Convolutional Neural Network --- brain cancer --- hyperspectral imaging --- intraoperative imaging --- feature selection --- image-guided surgery --- genetic algorithm --- particle swarm optimization --- ant colony optimization --- support vector machine --- machine learning --- visual perception --- electrocardiogram (ECG) coder --- non-uniform sampling --- telecardiology --- compressed sensing --- strain gauge --- tremor quantification --- Parkinson's disease --- action tremors --- wearables --- biosensors --- sleep --- Fitbit --- Oura --- Hexoskin --- Withings --- cognition --- medical optics and biotechnology --- optical pathology --- convolutional neural networks --- tissue diagnostics --- tissue characterization --- glioblastoma --- contactless measurement --- vital signs --- RGB-thermal image processing --- infection diseases --- artificial neural network --- Doppler radar --- heart rate --- real-time processing --- visually challenged --- navigation --- image analysis --- fuzzy sets --- convolutional neural networks (CNNs) --- eye tracking --- motorized wheelchair --- ultrasonic proximity sensors --- laryngeal cancer --- contact endoscopy --- narrow band imaging --- automatic classification --- feature extraction --- Barrett neoplasia --- tissue detection --- recurrent neural networks --- upper GI tract


Book
Recent Advances in Indoor Localization Systems and Technologies
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Despite the enormous technical progress seen in the past few years, the maturity of indoor localization technologies has not yet reached the level of GNSS solutions. The 23 selected papers in this book present the recent advances and new developments in indoor localization systems and technologies, propose novel or improved methods with increased performance, provide insight into various aspects of quality control, and also introduce some unorthodox positioning methods.

Keywords

Technology: general issues --- filter --- finite memory structure --- infinite memory structure --- smoother --- target tracking --- Indoor Positioning System --- WLAN --- C-Means --- K-Means --- Access Point Selection --- RSS-fingerprint --- smartphone --- pedestrian dead reckoning --- heading estimation --- autoregressive model --- adaptive Kalman filter --- indoor localization --- Wi-Fi received signal strength indicator (RSSI) --- semisupervised learning --- feature extraction --- mobile fingerprinting --- trajectory learning --- localization --- hybrid localization --- Bluetooth Low Energy --- extended kalman filter --- internet of things --- proximity sensors --- smartphone sensors --- pedestrian dead reckoning (PDR) --- Wi-Fi indoor positioning --- sensor fusion frameworks --- Kalman filter --- location fingerprinting --- trilateration --- received signal strength indication (RSSI) --- indoor positioning --- 5G system --- hybrid positioning --- geometric dilution of precision --- closed-form solution --- Cramer-Rao lower bound --- visually impaired (VI) --- computer vision --- deep learning --- multi-label convolutional support vector machine (M-CSVM) --- assistive technology --- visually impaired --- navigational system --- indoor navigation --- markers --- mobile robots --- wireless sensor network --- time of arrival (TOA) --- NLOS --- modified probabilistic data association (MPDA) --- indoor location recognition --- received signal strength (RSS) --- Wi-Fi fingerprint positioning --- deep neural network (DNN) --- optimization methods --- adaptive filter --- hidden Markov models (HMM) --- I/O detection --- GPS signal --- machine learning --- positioning applications. --- PDR --- geomagnetic positioning --- particle filter --- genetic algorithm --- Wi-Fi fine timing measurement --- NLOS identification --- Gaussian model --- carrier phase --- differential pseudolite system --- extended Kalman filter --- reliability --- integrity monitoring --- transparent obstacle recognition --- reflection noise --- laser range finder --- path planning --- mobile robot --- automated data acquisition --- remote sensing technologies --- automated progress reporting --- data fusion --- tracking resources --- bearing estimation --- azimuth estimation --- signal processing --- position estimation --- photodiode array --- indoor ranging algorithm --- channel state information --- received signal strength indicator --- VPR --- fusion navigation --- UWB --- multi-path detection --- NLOS and MP discrimination --- SVM --- random forest --- multilayer perceptron --- LOS --- DWM1000 --- fingerprinting --- smart buildings --- mobile devices --- indoor localization technologies --- model based techniques --- quality control


Book
Recent Advances in Indoor Localization Systems and Technologies
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Bookmark

Abstract

Despite the enormous technical progress seen in the past few years, the maturity of indoor localization technologies has not yet reached the level of GNSS solutions. The 23 selected papers in this book present the recent advances and new developments in indoor localization systems and technologies, propose novel or improved methods with increased performance, provide insight into various aspects of quality control, and also introduce some unorthodox positioning methods.

Keywords

filter --- finite memory structure --- infinite memory structure --- smoother --- target tracking --- Indoor Positioning System --- WLAN --- C-Means --- K-Means --- Access Point Selection --- RSS-fingerprint --- smartphone --- pedestrian dead reckoning --- heading estimation --- autoregressive model --- adaptive Kalman filter --- indoor localization --- Wi-Fi received signal strength indicator (RSSI) --- semisupervised learning --- feature extraction --- mobile fingerprinting --- trajectory learning --- localization --- hybrid localization --- Bluetooth Low Energy --- extended kalman filter --- internet of things --- proximity sensors --- smartphone sensors --- pedestrian dead reckoning (PDR) --- Wi-Fi indoor positioning --- sensor fusion frameworks --- Kalman filter --- location fingerprinting --- trilateration --- received signal strength indication (RSSI) --- indoor positioning --- 5G system --- hybrid positioning --- geometric dilution of precision --- closed-form solution --- Cramer-Rao lower bound --- visually impaired (VI) --- computer vision --- deep learning --- multi-label convolutional support vector machine (M-CSVM) --- assistive technology --- visually impaired --- navigational system --- indoor navigation --- markers --- mobile robots --- wireless sensor network --- time of arrival (TOA) --- NLOS --- modified probabilistic data association (MPDA) --- indoor location recognition --- received signal strength (RSS) --- Wi-Fi fingerprint positioning --- deep neural network (DNN) --- optimization methods --- adaptive filter --- hidden Markov models (HMM) --- I/O detection --- GPS signal --- machine learning --- positioning applications. --- PDR --- geomagnetic positioning --- particle filter --- genetic algorithm --- Wi-Fi fine timing measurement --- NLOS identification --- Gaussian model --- carrier phase --- differential pseudolite system --- extended Kalman filter --- reliability --- integrity monitoring --- transparent obstacle recognition --- reflection noise --- laser range finder --- path planning --- mobile robot --- automated data acquisition --- remote sensing technologies --- automated progress reporting --- data fusion --- tracking resources --- bearing estimation --- azimuth estimation --- signal processing --- position estimation --- photodiode array --- indoor ranging algorithm --- channel state information --- received signal strength indicator --- VPR --- fusion navigation --- UWB --- multi-path detection --- NLOS and MP discrimination --- SVM --- random forest --- multilayer perceptron --- LOS --- DWM1000 --- fingerprinting --- smart buildings --- mobile devices --- indoor localization technologies --- model based techniques --- quality control


Book
Recent Advances in Indoor Localization Systems and Technologies
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

Despite the enormous technical progress seen in the past few years, the maturity of indoor localization technologies has not yet reached the level of GNSS solutions. The 23 selected papers in this book present the recent advances and new developments in indoor localization systems and technologies, propose novel or improved methods with increased performance, provide insight into various aspects of quality control, and also introduce some unorthodox positioning methods.

Keywords

Technology: general issues --- filter --- finite memory structure --- infinite memory structure --- smoother --- target tracking --- Indoor Positioning System --- WLAN --- C-Means --- K-Means --- Access Point Selection --- RSS-fingerprint --- smartphone --- pedestrian dead reckoning --- heading estimation --- autoregressive model --- adaptive Kalman filter --- indoor localization --- Wi-Fi received signal strength indicator (RSSI) --- semisupervised learning --- feature extraction --- mobile fingerprinting --- trajectory learning --- localization --- hybrid localization --- Bluetooth Low Energy --- extended kalman filter --- internet of things --- proximity sensors --- smartphone sensors --- pedestrian dead reckoning (PDR) --- Wi-Fi indoor positioning --- sensor fusion frameworks --- Kalman filter --- location fingerprinting --- trilateration --- received signal strength indication (RSSI) --- indoor positioning --- 5G system --- hybrid positioning --- geometric dilution of precision --- closed-form solution --- Cramer-Rao lower bound --- visually impaired (VI) --- computer vision --- deep learning --- multi-label convolutional support vector machine (M-CSVM) --- assistive technology --- visually impaired --- navigational system --- indoor navigation --- markers --- mobile robots --- wireless sensor network --- time of arrival (TOA) --- NLOS --- modified probabilistic data association (MPDA) --- indoor location recognition --- received signal strength (RSS) --- Wi-Fi fingerprint positioning --- deep neural network (DNN) --- optimization methods --- adaptive filter --- hidden Markov models (HMM) --- I/O detection --- GPS signal --- machine learning --- positioning applications. --- PDR --- geomagnetic positioning --- particle filter --- genetic algorithm --- Wi-Fi fine timing measurement --- NLOS identification --- Gaussian model --- carrier phase --- differential pseudolite system --- extended Kalman filter --- reliability --- integrity monitoring --- transparent obstacle recognition --- reflection noise --- laser range finder --- path planning --- mobile robot --- automated data acquisition --- remote sensing technologies --- automated progress reporting --- data fusion --- tracking resources --- bearing estimation --- azimuth estimation --- signal processing --- position estimation --- photodiode array --- indoor ranging algorithm --- channel state information --- received signal strength indicator --- VPR --- fusion navigation --- UWB --- multi-path detection --- NLOS and MP discrimination --- SVM --- random forest --- multilayer perceptron --- LOS --- DWM1000 --- fingerprinting --- smart buildings --- mobile devices --- indoor localization technologies --- model based techniques --- quality control

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