A Novel Spatio-Temporal Network of Multi-channel CNN and GCN for Human Activity Recognition Based on BAN
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s11063-023-11385-z.pdf
Reference43 articles.
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3. Anwary AR, Yu H, Vassallo M (2018) An automatic gait feature extraction method for identifying gait asymmetry using wearable sensors. Sensors 18(2):676
4. Alrige M, Chatterjee S (2015) Toward a taxonomy of wearable technologies in healthcare. In: International conference on design science research in information systems. Springer, pp 496–504
5. Capela NA, Lemaire ED, Baddour N (2015) Feature selection for wearable smartphone-based human activity recognition with able bodied, elderly, and stroke patients. PLoS ONE 10(4):0124414
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