@inproceedings{403248f5e42749fc9e306f2fc5b1fb56,
title = "Examining the impact of muscle-electrode distance in sEMG based hand motion recognition",
abstract = "There are several factors that affect the sEMG signal during the process from its generation to its acquisition by sEMG devices. In this study, we tried to explain the physiological functional relationship between sEMG signals and muscles and between muscles and gestures in the human right forearm to increase confidence in the application of artificial intelligence in the medical field. For this purpose, we simulated the muscle and electrode positions with a 3D model to calculate their distance relationship, designed a cuff based on this model, and considered the effect of different distance solving methods on gesture recognition. The results showed that the highest accuracy of 93.95% was achieved for gesture recognition with the center of gravity method to find the electrode-to-muscle distance when the ratio of muscle electrode distance to the number of nerve muscle branches was 1:0.1. It is explained that the distance factor is the main factor affecting the recognition of sEMG signals, and an appropriate increase in the muscle length or neuromuscular branch number factor will play a positive role in the accuracy. The visualization of muscle activation further verifies and explains the relationship between sEMG signals and muscles, which makes the rehabilitation training more scientific and effective.",
keywords = "sEMG, biological relationship, interpretability",
author = "Jinwei Shi and mingchun Liu and Yinfeng Fang and Jiahui Yu and Hongwei Gao and Zhaojie Ju",
year = "2023",
month = oct,
day = "11",
doi = "10.1007/978-981-99-6489-5_5",
language = "English",
isbn = "9789819964888",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "55--67",
editor = "Huayong Yang and Honghai Liu and Jun Zou and Zhouping Yin and Lianquing Liu and Geng Yang and Xiaoping Ouyang and Zhiyong Wang",
booktitle = "Intelligent Robotics and Applications 16th International Conference, ICIRA 2023, Hangzhou, China, July 5–7, 2023, Proceedings, Part III",
note = "International Conference on Intelligent Robotics and Applications ; Conference date: 05-07-2023 Through 07-07-2023",
}