Human lower limb activity recognition techniques, databases, challenges and its applications using sEMG signal: an overview
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s13534-022-00236-w.pdf
Reference92 articles.
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4. Dang LM, Min K, Wang H, Piran MJ, Lee CH, Moon H. Sensor-based and vision-based human activity recognition: a comprehensive survey. Pattern Recogn. 2020;108:107561.
5. Hussain Z, Sheng M, Zhang WE. Different approaches for human activity recognition: A survey (2019). arXiv preprint arXiv:1906.05074
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