Sensors for Human Activity Recognition

• Andere auteurs: Liu, Hui (Redacteur), Gamboa, Hugo (Redacteur), Schultz, Tanja (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Onderwerpen: Medical equipment & techniques; 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
• Online toegang: DOAB: download the publication; DOAB: description of the publication

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, therm...