April 25, 2024, 7:42 p.m. | Junjie Zhang, Zheming Zhang, Huachen Xiang, Yangquan Tan, Linnan Huo, Fengyi Wang

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.15294v1 Announce Type: cross
Abstract: Physical function monitoring (PFM) plays a crucial role in healthcare especially for the elderly. Traditional assessment methods such as the Short Physical Performance Battery (SPPB) have failed to capture the full dynamic characteristics of physical function. Wearable sensors such as smart wristbands offer a promising solution to this issue. However, challenges exist, such as the computational complexity of machine learning methods and inadequate information capture. This paper proposes a multi-modal PFM framework based on an …

abstract arxiv assessment battery cs.lg dynamic eess.sp elderly fitness framework function healthcare monitoring multimodal performance role sensors smart type wearable wearable sensors

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