Myoelectric control for prosthetic hands is an important topic in the field of rehabilitation.
Intuitive and intelligent myoelectric control can help amputees to regain upper limb function …

“共融机器人基础理论与关键技术研究” 重大研究计划, 聚焦“刚-柔-软机构的行为顺应与可控性”,“
人-机-环境多模态感知与自然交互” 以及“机器人群体智能与操作系统架构” 三个科学问题 …

Surface electromyography (sEMG) is commonly used to observe the motor neuronal activity
within muscle fibers. However, decoding dexterous body movements from sEMG signals is …

Hand gesture recognition has recently increased its popularity as Human-Machine Interface
(HMI) in the biomedical field. Indeed, it can be performed involving many different non …

This letter proposes a novel human-robot co-adaptation framework for robust and accurate
user intent recognition, specifically in the context of automatic control in assistance robots …

Aiming at the problem that the students' long‐term use of nonstandard shooting action leads
to poor basketball teaching effect, an intelligent correction method of shooting action based …

Biometric signal based human-computer interface (HCI) has attracted increasing attention
due to its wide application in healthcare, entertainment, neurocomputing, and so on. In …

Upper limb functional impairments persisting after stroke significantly affect patients' quality
of life. Precise adjustment of robotic assistance levels based on patients' motion intentions …

Rehabilitation robots have gained considerable focus in recent years, aiming to assist
immobilized patients in regaining motor capabilities in their limbs. However, most current …

Many deep learning-based blind image deblurring solutions model high and low
frequencies and reconstruct frequency representations to restore sharp images. However …