Abstract 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.
AbstractList 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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Snippet Human activity recognition (HAR) and human behavior recognition (HBR) play increasingly important roles in the digital age. High-quality sensory observations...
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SubjectTerms accelerometer
adversarial learning
ankle–foot orthoses
behavior reconstruction
camera calibration
customer behavior recognition
deep complex network
deep learning
digital image correlation
domain generalization
electrocardiogram
energy consumption
explainable methods
functional electrical stimulation
gated recurrent unit
GPS
HAR
heart rate variability
human activity recognition
human in the loop
in-store camera
indoor localization
leave-one-subject-out cross-validation
machine learning
Medical equipment and techniques
Medicine and Nursing
Medicine: general issues
multi-location
n/a
pedestrian dead reckoning
point-to-point camera distortion calibration
psychological stress
semi-supervised learning
sensing technique
Shapley additive explanations
smart home
smart retail
speckle pattern
syn-LSTM
validation methodology
vision-based human activity recognition
VR high-altitude experiment
wearable devices
Wi-Fi sensing
Title Sensors for Human Activity Recognition
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