This research demonstrates high accuracy in recognizing thumb movements in a smartwatch using wrist EMG signals, suggesting effective machine learning integration.
This paper explores using multiple electrodes on the back of a smartwatch at the wrist to capture EMG signals and employs machine learning methods to detect various thumb movements. The study results show that even with a limited number of electrodes placed only at the wrist on the back of the watch, appropriate machine learning techniques can still achieve a recognition accuracy of around 99% for thumb movements.
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Chen et al. (2025) studied this question.
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