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

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

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 of such devices requires high classification accuracy. One method for improving the classification performance of machi...

Full description

Bibliographic Details
Main Authors: Taichi Tanaka, Isao Nambu, Yoshiko Maruyama, Yasuhiro Wada
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
electromyography
EMG
z-score
signal normalization
machine learning
classification model
Online Access:https://www.mdpi.com/1424-8220/22/13/5005

Internet

https://www.mdpi.com/1424-8220/22/13/5005

Similar Items