An end-to-end hand action recognition framework based on cross-time mechanomyography signals
Yue Zhang,
Tengfei Li,
Xingguo Zhang
et al.
Abstract:The susceptibility of mechanomyography (MMG) signals acquisition to sensor donning and doffing, and the apparent time-varying characteristics of biomedical signals collected over different periods, inevitably lead to a reduction in model recognition accuracy. To investigate the adverse effects on the recognition results of hand actions, a 12-day cross-time MMG data collection experiment with eight subjects was conducted by an armband, then a novel MMG-based hand action recognition framework with densely connec… Show more
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