[PDF][PDF] 基于表面肌电的运动意图识别方法研究及应用综述

丁其川, 熊安斌, 赵新刚, 韩建达 - 自动化学报, 2016 - aas.net.cn
摘要表面肌电信号(Surface electromyography, sEMG) 是人体自身的资源,
蕴含着关联人体运动的丰富信息, 用它作为交互媒介以构建人机交互(Human-robot interaction …

Systematic review of textile-based electrodes for long-term and continuous surface electromyography recording

L Guo, L Sandsjö, M Ortiz-Catalan… - Textile research …, 2020 - journals.sagepub.com
This systematic review concerns the use of smart textiles enabled applications based on
myoelectric activity. Electromyography (EMG) is the technique for recording and evaluating …

Movement performance of human–robot cooperation control based on EMG-driven hill-type and proportional models for an ankle power-assist exoskeleton robot

D Ao, R Song, JW Gao - IEEE Transactions on Neural Systems …, 2016 - ieeexplore.ieee.org
Although the merits of electromyography (EMG)-based control of powered assistive systems
have been certified, the factors that affect the performance of EMG-based human–robot …

[HTML][HTML] Adaptive admittance control for an ankle exoskeleton using an EMG-driven musculoskeletal model

S Yao, Y Zhuang, Z Li, R Song - Frontiers in neurorobotics, 2018 - frontiersin.org
Various rehabilitation robots have been employed to recover the motor function of stroke
patients. To improve the effect of rehabilitation, robots should promote patient participation …

Voluntary control of an ankle joint exoskeleton by able-bodied individuals and stroke survivors using EMG-based admittance control scheme

Y Zhuang, Y Leng, J Zhou, R Song… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Control schemes based on electromyography (EMG) have demonstrated their superiority in
human-robot cooperation due to the fact that motion intention can be well estimated by EMG …

Development of a sEMG-based torque estimation control strategy for a soft elbow exoskeleton

L Lu, Q Wu, X Chen, Z Shao, B Chen, H Wu - Robotics and Autonomous …, 2019 - Elsevier
Motor dysfunction has become a serious threat to the health of older people and the patients
with neuromuscular impairment. The application of exoskeleton to motion assistance has …

Voluntary assist-as-needed controller for an ankle power-assist rehabilitation robot

R Yang, Z Shen, Y Lyu, Y Zhuang, L Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Objective: Although existing assist-as-needed (AAN) controllers have been designed to
adapt the robotic assistance to patients' movement performance, they ignore patient's active …

Motion estimation of elbow joint from sEMG using continuous wavelet transform and back propagation neural networks

Y Huang, K Chen, X Zhang, K Wang, J Ota - Biomedical Signal Processing …, 2021 - Elsevier
Estimation of continuous joint movement of human arm is significant in human-robot
interaction. In this study, we proposed an estimating method combined continuous wavelet …

SEMG-based human in-hand motion recognition using nonlinear time series analysis and random forest

Y Xue, X Ji, D Zhou, J Li, Z Ju - IEEE Access, 2019 - ieeexplore.ieee.org
As a novel and non-invasive sensing technology, surface electromyography (SEMG) can
record the bioelectrical signals on the skin surface quickly and effectively, and thus has been …

A human joint torque estimation method for elbow exoskeleton control

X Li, S Liu, Y Chang, S Li, Y Fan, H Yu - International Journal of …, 2020 - World Scientific
Exoskeleton for motion assistance has obtained more and more attention due to its
advantages in rehabilitation and assistance for daily life. This research designed an …