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A Survey on Multimodal Wearable Sensor-based Human Action Recognition
April 25, 2024, 7:42 p.m. | Jianyuan Ni, Hao Tang, Syed Tousiful Haque, Yan Yan, Anne H. H. Ngu
cs.LG updates on arXiv.org arxiv.org
Abstract: The combination of increased life expectancy and falling birth rates is resulting in an aging population. Wearable Sensor-based Human Activity Recognition (WSHAR) emerges as a promising assistive technology to support the daily lives of older individuals, unlocking vast potential for human-centric applications. However, recent surveys in WSHAR have been limited, focusing either solely on deep learning approaches or on a single sensor modality. In real life, our human interact with the world in a multi-sensory …
abstract action recognition aging applications arxiv assistive technology birth combination cs.lg cs.mm daily eess.sp however human human-centric life multimodal population recognition sensor support survey surveys technology type vast wearable
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