Surface EMG Sensing and Granular Gesture Recognition for Rehabilitative Pouring Tasks: A Case Study

Surface electromyography (sEMG) non-invasively captures the electrical activity generated by muscle contractions, offering valuable insights into motion intentions. While sEMG has been widely applied to general gesture recognition in rehabilitation, there has been limited exploration of specific, in...

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Bibliographic Details
Main Authors: Congyi Zhang, Dalin Zhou, Yinfeng Fang, Naoyuki Kubota, Zhaojie Ju
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Biomimetics
Subjects:
Online Access:https://www.mdpi.com/2313-7673/10/4/229
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