Realtime Recognition of Complex Human Daily Activities Using Human Motion and Location Data
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering
Link
http://xplorestaging.ieee.org/ielx5/10/6269950/06168228.pdf?arnumber=6168228
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1. Deep Residual Neural Network for Aggressive Physical Activity Recognition Using Surface Electromyography Sensors;2023 IEEE 14th International Conference on Software Engineering and Service Science (ICSESS);2023-10-17
2. A Lightweight Deep Residual Network for Recognizing Activities in Daily Living Using Channel State Information;2023 IEEE 14th International Conference on Software Engineering and Service Science (ICSESS);2023-10-17
3. Non-invasive dual attention TCN for electromyography and motion data fusion in lower limb ambulation prediction;Journal of Neural Engineering;2022-08-01
4. Human activity recognition in artificial intelligence framework: a narrative review;Artificial Intelligence Review;2022-01-18
5. Human Complex Activity Recognition With Sensor Data Using Multiple Features;IEEE Sensors Journal;2022-01-01
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