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Deep Learning for Human Activity Recognition on 3D Human Skeleton: Survey and Comparative Study [PDF]
Sensors, 2023 Human activity recognition (HAR) is an important research problem in computer vision. This problem is widely applied to building applications in human–machine interactions, monitoring, etc.
Hung-Cuong Nguyen +3 more
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Constraint-Based Optimized Human Skeleton Extraction from Single-Depth Camera [PDF]
Sensors, 2019 As a cutting-edge research topic in computer vision and graphics for decades, human skeleton extraction from single-depth camera remains challenging due to possibly occurring occlusions of different body parts, huge appearance variations, and sensor ...
Ruotong Li +3 more
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Future Pose Prediction from 3D Human Skeleton Sequence with Surrounding Situation [PDF]
Sensors, 2023 Human pose prediction is vital for robot applications such as human–robot interaction and autonomous control of robots. Recent prediction methods often use deep learning and are based on a 3D human skeleton sequence to predict future poses.
Tomohiro Fujita, Yasutomo Kawanishi
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Skeleton-Based Human Pose Recognition Using Channel State Information: A Survey
Sensors, 2022 With the increasing demand for human-computer interaction and health monitoring, human behavior recognition with device-free patterns has attracted extensive attention. The fluctuations of the Wi-Fi signal caused by human actions in a Wi-Fi coverage area
Zhengjie Wang +6 more
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Skeleton Graph-Neural-Network-Based Human Action Recognition: A Survey
Sensors, 2022 Human action recognition has been applied in many fields, such as video surveillance and human computer interaction, where it helps to improve performance.
Miao Feng, Jean Meunier
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SRNet: Structured Relevance Feature Learning Network From Skeleton Data for Human Action Recognition
IEEE Access, 2019 In recent years, human action recognition based on skeleton information has recently drawn increasing attention with published large-scale skeleton datasets.
Weizhi Nie, Wei Wang, Xiangdong Huang
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Human Skeleton Action Recognition Algorithm Based on Dynamic Topological Graph [PDF]
Jisuanji kexue, 2022 Traditional human skeleton action recognition algorithms manually construct topological graphs to model the action sequence contained in multiple video frames and learn each video frame to reflect the data changes,which may lead to the high computational
XIE Yu, YANG Rui-ling, LIU Gong-xu, LI De-yu, WANG Wen-jian
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Joint Swing Energy for Skeleton-Based Gender Classification
IEEE Access, 2021 Human gender classification in digital image content has received considerable attention from researchers for various applications, such as demographic research, video surveillance systems, and forensic science.
Beom Kwon, Sanghoon Lee
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Frontiers in Neurology, 2022 Relative limb movement is an important feature in assessing depression. In this study, we looked into whether a skeleton-mimetic task using natural stimuli may help people recognize depression.
Yanhong Yu +6 more
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Journal of Taiji Science, 2022 This paper analyzes the spatial structure and movement characteristics of bones in Taiji movement, and puts forward the viewpoint that the human body forms a "rigid and flexible" coupled movement force system with the bones and fascia during Taiji ...
Zili Xu 许自立, Juan ChenC陈娟
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