Action recognition and control of mechanical simulated arm: electromyographic signal detection
Electromyography (EMG) signal contains a large amount of human motion information, which can be used to classify human actions. In this study, based on the detection of surface electromyography (sEMG) signal, three actions were designed, the sEMG signal was collected by the EMG acquisition system. F...
Main Author: | Lv Genlai |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2020-01-01
|
Series: | International Journal of Metrology and Quality Engineering |
Subjects: | |
Online Access: | https://www.metrology-journal.org/articles/ijmqe/full_html/2020/01/ijmqe190036/ijmqe190036.html |
Similar Items
-
Action Recognition of Lower Limbs Based on Surface Electromyography Weighted Feature Method
by: Jiashuai Wang, et al.
Published: (2021-09-01) -
Teleoperated robotic arm movement using electromyography signal with wearable Myo armband
by: Hussein F. Hassan, et al.
Published: (2020-09-01) -
A model for the generation and study of electromyographic signals
by: Lerman, David
Published: (2013) -
An Electromyographic Analysis of the Effects of Cognitive Fatigue on Online and Anticipatory Action Control
by: Mick Salomone, et al.
Published: (2021-01-01) -
Robot arm control method using forearm EMG signals
by: Chen Minjie, et al.
Published: (2020-01-01)