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20222025
most citedSliding-Window Normalization to Improve the Performance of Machine-Learning Models for Real-Time Motion Prediction Using Electromyography

61 citations · 62 across the 4 of their papers we have counts for

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eess.SP2025

Mitigating the Impact of Electrode Shift on Classification Performance in Electromyography-Based Motion Prediction Using Sliding-Window Normalization

Taichi Tanaka, Isao Nambu, Yasuhiro Wada

Electromyography (EMG) signals are used in many applications, including prosthetic hands, assistive suits, and rehabilitation. Recent advances in motion estimation have improved pe…

eess.SP2022★ 61 cited

Sliding-Window Normalization to Improve the Performance of Machine-Learning Models for Real-Time Motion Prediction Using Electromyography

Taichi Tanaka, Isao Nambu, Yoshiko Maruyama +1

Many researchers have used machine learning models to control artificial hands, walking aids, assistance suits, etc., using the biological signal of electromyography (EMG). The use…