Sensors for Human Activity Recognition

Human activity recognition (HAR) and human behavior recognition (HBR) play increasingly important roles in the digital age. High-quality sensory observations applicable to recognizing users’ activities and behaviors, including electrical, magnetic, mechanical (kinetic), optical, acoustic, thermal, a...

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Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2023
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collection Directory of Open Access Books
description Human activity recognition (HAR) and human behavior recognition (HBR) play increasingly important roles in the digital age. High-quality sensory observations applicable to recognizing users’ activities and behaviors, including electrical, magnetic, mechanical (kinetic), optical, acoustic, thermal, and chemical biosignals, are inseparable from sensors’ sophisticated design and appropriate application. Traditional sensors suitable for HAR and HBR, including external sensors for smart homes, optical sensors such as cameras for capturing video signals, and bioelectrical, biomagnetic, and biomechanical sensors for wearable applications, have been studied and verified adequately. They continue to be researched in depth for more effective and efficient usage, and brand-new areas facilitated by sensor-based HAR/HBR are emerging, such as interactive edutainment, single-motion duration analysis, time series information retrieval, handcrafted and high-level feature design, and fall detection. Meanwhile, innovative sensor research for HAR or HBR is also very active in the academic community, including new sensors appropriate for HAR/HBR, new designs and applications of the above-mentioned traditional sensors, and the usage of non-traditional HAR-/HBR-related sensor types, among others.
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publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-1013522024-03-31T13:08:52Z Sensors for Human Activity Recognition Liu, Hui Gamboa, Hugo Schultz, Tanja human activity recognition validation methodology leave-one-subject-out cross-validation explainable methods Shapley additive explanations machine learning camera calibration point-to-point camera distortion calibration vision-based human activity recognition speckle pattern digital image correlation sensing technique HAR semi-supervised learning adversarial learning syn-LSTM smart home Wi-Fi sensing multi-location deep complex network ankle–foot orthoses energy consumption functional electrical stimulation human in the loop smart retail in-store camera customer behavior recognition behavior reconstruction indoor localization pedestrian dead reckoning deep learning GPS domain generalization accelerometer psychological stress electrocardiogram heart rate variability gated recurrent unit VR high-altitude experiment wearable devices n/a thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques Human activity recognition (HAR) and human behavior recognition (HBR) play increasingly important roles in the digital age. High-quality sensory observations applicable to recognizing users’ activities and behaviors, including electrical, magnetic, mechanical (kinetic), optical, acoustic, thermal, and chemical biosignals, are inseparable from sensors’ sophisticated design and appropriate application. Traditional sensors suitable for HAR and HBR, including external sensors for smart homes, optical sensors such as cameras for capturing video signals, and bioelectrical, biomagnetic, and biomechanical sensors for wearable applications, have been studied and verified adequately. They continue to be researched in depth for more effective and efficient usage, and brand-new areas facilitated by sensor-based HAR/HBR are emerging, such as interactive edutainment, single-motion duration analysis, time series information retrieval, handcrafted and high-level feature design, and fall detection. Meanwhile, innovative sensor research for HAR or HBR is also very active in the academic community, including new sensors appropriate for HAR/HBR, new designs and applications of the above-mentioned traditional sensors, and the usage of non-traditional HAR-/HBR-related sensor types, among others. 2023-07-14T14:26:18Z 2023-07-14T14:26:18Z 2023 book ONIX_20230714_9783036575544_51 9783036575544 9783036575551 https://directory.doabooks.org/handle/20.500.12854/101352 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7447 https://mdpi.com/books/pdfview/book/7447 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7555-1 10.3390/books978-3-0365-7555-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036575544 9783036575551 216 Basel open access
spellingShingle human activity recognition
validation methodology
leave-one-subject-out cross-validation
explainable methods
Shapley additive explanations
machine learning
camera calibration
point-to-point camera distortion calibration
vision-based human activity recognition
speckle pattern
digital image correlation
sensing technique
HAR
semi-supervised learning
adversarial learning
syn-LSTM
smart home
Wi-Fi sensing
multi-location
deep complex network
ankle–foot orthoses
energy consumption
functional electrical stimulation
human in the loop
smart retail
in-store camera
customer behavior recognition
behavior reconstruction
indoor localization
pedestrian dead reckoning
deep learning
GPS
domain generalization
accelerometer
psychological stress
electrocardiogram
heart rate variability
gated recurrent unit
VR high-altitude experiment
wearable devices
n/a
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques
Sensors for Human Activity Recognition
title Sensors for Human Activity Recognition
title_full Sensors for Human Activity Recognition
title_fullStr Sensors for Human Activity Recognition
title_full_unstemmed Sensors for Human Activity Recognition
title_short Sensors for Human Activity Recognition
title_sort sensors for human activity recognition
topic human activity recognition
validation methodology
leave-one-subject-out cross-validation
explainable methods
Shapley additive explanations
machine learning
camera calibration
point-to-point camera distortion calibration
vision-based human activity recognition
speckle pattern
digital image correlation
sensing technique
HAR
semi-supervised learning
adversarial learning
syn-LSTM
smart home
Wi-Fi sensing
multi-location
deep complex network
ankle–foot orthoses
energy consumption
functional electrical stimulation
human in the loop
smart retail
in-store camera
customer behavior recognition
behavior reconstruction
indoor localization
pedestrian dead reckoning
deep learning
GPS
domain generalization
accelerometer
psychological stress
electrocardiogram
heart rate variability
gated recurrent unit
VR high-altitude experiment
wearable devices
n/a
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques
topic_facet human activity recognition
validation methodology
leave-one-subject-out cross-validation
explainable methods
Shapley additive explanations
machine learning
camera calibration
point-to-point camera distortion calibration
vision-based human activity recognition
speckle pattern
digital image correlation
sensing technique
HAR
semi-supervised learning
adversarial learning
syn-LSTM
smart home
Wi-Fi sensing
multi-location
deep complex network
ankle–foot orthoses
energy consumption
functional electrical stimulation
human in the loop
smart retail
in-store camera
customer behavior recognition
behavior reconstruction
indoor localization
pedestrian dead reckoning
deep learning
GPS
domain generalization
accelerometer
psychological stress
electrocardiogram
heart rate variability
gated recurrent unit
VR high-altitude experiment
wearable devices
n/a
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques
url ONIX_20230714_9783036575544_51