Summary
International Conference on Emerging Technologies for Communications
2022
Session Number:S9
Session:
Number:S9-1
A Study of Prediction of Operation Information by LSTM Using Electromyography Signals and Operation Information
Yutaka Katsuyama, Toshio Sato, Kazuhiko Tamesue, Takuro Sato, Yuichi Nakamura, Jiro Katto,
pp.-
Publication Date:2022/11/29
Online ISSN:2188-5079
Summary:
We conducted a test to predict operating information by LSTM for remote robot arm operation by controller. In 0.5 seconds presiction test, the performance of prediction is not good for using only operating information. We used not only operating information but also EMG signals to train the LSTM. Then, the performance of prediction got better.