机械手
肌电图
计算机科学
稳健性(进化)
前臂
手部肌肉
机械臂
人工智能
电动机控制
机器人
机制(生物学)
计算机视觉
模拟
机械手
物理医学与康复
测距
工程类
夹持器
拇指
运动控制
肌肉收缩
屈肌
人体手臂
控制系统
残余物
机器人学
医疗机器人
控制理论(社会学)
执行机构
食指
手的位置
运动控制
生物医学工程
贴片设备
作者
André Moreira,Marco Pinto,Miguel Fernandes,João Costa,Jorge Fidalgo,Alessandro Fantoni
出处
期刊:Machines
[Multidisciplinary Digital Publishing Institute]
日期:2026-03-23
卷期号:14 (3): 355-355
标识
DOI:10.3390/machines14030355
摘要
Reliable control of robotic hands using residual muscle activity is challenging due to low-amplitude myoelectric signals, susceptibility to noise, and the need for real-time actuation. This paper presents a myoelectric-controlled robotic hand capable of voluntary independent finger motion. Surface myoelectric signals from the forearm are processed via amplification, filtering, and digital analysis to enable accurate detection of muscle activity. The system achieves independent and simultaneous actuation of five fingers using a tendon-driven, servo-actuated mechanism in a lightweight ABS structure. Experimental evaluation demonstrates finger actuation delays ranging from 314 ms to 650 ms, maximum holding strengths between 1.75 N and 4.07 N, and minimum gripping distances between 22 mm and 49 mm across all five fingers, with peak motor currents remaining below 0.7 A. Results validate consistent muscle activity detection, successful execution of individual and combined finger movements, and the robustness of the proposed design.
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