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肌电控制虚拟现实游戏的腕部训练系统研究OACSTPCD

Wrist training system with myoelectric control virtual reality game

中文摘要英文摘要

针对传统腕部康复训练方法训练内容枯燥、用户参与训练的积极性低导致训练效率低的问题,设计了一种肌电控制虚拟现实游戏的腕部训练系统.采集腕部运动时的表面肌电信号,并通过肌肉协同原理解码出腕关节运动意图,用于虚拟现实游戏的控制;在虚拟现实游戏中引入随机干扰力,通过阻抗控制的方式实现与虚拟现实环境的交互,使得用户可以探索不同的运动控制方式.通过模型标定实验,验证了系统的可行性,并且开展了训练实验,通过评估任务的完成时间以及路径效率评估训练效果.实验结果表明,通过引入随机干扰力进行训练相对于无随机干扰力进行训练,任务的完成时间减少了24%,路径效率提升了26%,所设计的训练系统可以使得用户以更高效方法进行运动控制,提高了训练的效率.

Aiming at the problems of boring contents of traditional wrist rehabilitation training methods and low training efficiency due to users'lack of motivation to participate,a wrist training system of myoelectric control virtual reality game was designed.The surface electromyography(sEMG)signals of wrist movement were collected and the wrist joint movement intention was decoded through the principle of muscle synergy for the control of the virtual re-ality game;random disturbance force was introduced into the virtual reality game,and the interaction with the virtual reality environment was realized through the way of impedance control,which enabled users to explore different movement control methods.The feasibility of the system was verified through model calibration experiments,and training experiments were conducted to assess the training effect by evaluating the task completion time as well as the path efficiency.The experimental results show that introducing random interference force reduces the task com-pletion time by 24%and improves the path efficiency by 26%,and the designed training system enables users to perform motion control in a more efficient way and improves the training efficiency.

段银鑫;曾洪;宋爱国

东南大学 仪器科学与工程学院,南京,210096

计算机与自动化

表面肌电虚拟现实游戏肌肉协同随机干扰力阻抗控制

surface electromyography(sEMG)virtual reality gamemuscle synergyrandom disturbance forcesimpedance control

《南京信息工程大学学报》 2024 (001)

闭环自适应干预神经肌肉控制策略的机器人辅助上肢训练方法研究

76-82 / 7

国家自然科学基金(62173089)

10.13878/j.cnki.jnuist.20230526003

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