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1997
A fundamental goal of work in recognition is to discover easily-computed visual features which are efficient indices of members of the class which is to be recognized. The hypothesis behind work in motion-based recognition is that features describing motion in the input can be efficient indices for large classes of objects and activities of interest to
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A fundamental goal of work in recognition is to discover easily-computed visual features which are efficient indices of members of the class which is to be recognized. The hypothesis behind work in motion-based recognition is that features describing motion in the input can be efficient indices for large classes of objects and activities of interest to
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A Survey on Deep Learning for Human Activity Recognition
ACM Computing Surveys, 2022Fuqiang Gu +2 more
exaly
Different Techniques for Human Activity Recognition
2022 29th International Conference on Mixed Design of Integrated Circuits and System (MIXDES), 2022Ravi Raj, Andrzej Kos
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Human activity recognition based on multienvironment sensor data
Information Fusion, 2023Guanci Yang, Shaobo Li, Yang Li
exaly
Imaging and fusing time series for wearable sensor-based human activity recognition
Information Fusion, 2020Zhen Qin +2 more
exaly
Embodied Human Activity Recognition
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)Sha Hu 0003, Yu Gong, Greg Mori
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Deep learning for human activity recognition
Neurocomputing, 2021Xiaoli Li 0001 +4 more
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