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

61 citations · 62 across the 2 of their papers we have counts for

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2 papers

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…

cs.CR2022★ 1 cited

Accuracy Enhancement for Ear Acoustic Authentication Using Between-class Features

Masaki Yasuhara, Isao Nambu, Yoshiko Maruyama +1

In existing biometric authentication methods, the user must perform an authentication operation such as placing a finger in a scanner or facing a camera. With ear acoustic authenti…