Human Sensory-Motor Integration Theory and Impedance Training Method Based on Muscle Impedance Properties

基于肌肉阻抗特性的人体感觉运动整合理论及阻抗训练方法

• 批准号: 15360226
• 负责人: TSUJI Toshio
• 金额: $ 9.66万
• 依托单位: Hiroshima University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 2003
• 资助国家: 日本
• 起止时间: 2003 至 2006
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-15360226/
• 关键词: Muscle properties; Sensory-motor integration; Virtual sports system; Impedance training; ヴァーチャルスポーツシステム; インピーダンストレーニング; 筋持性; インピーダンストレーニング法

Humans have highly developed sensory receptors and functions that allow them to survive and recognize various kinds of external information, and can regulate dynamic properties of their musculoskeletal systems to achieve specific physical goals. Such dynamic properties of human movements can be expressed by mechanical impedance parameters: stiffness, viscosity, and inertia. It suggests that the training in the regulation ability of human impedance would be effective for improving damaged motor functions of the physically challenged.This study developed a new training methodology based on human mechanical impedance, so-called "Impedance Training method." The major achievements are as follows:[1] The virtual sports system was developed by means of robotic and virtual technologies, and human impedance properties during training movements were examined quantitatively.[2] Human regulation ability of muscle impedance properties and human perception ability of environmental impedance properties were investigated. Based on the experimental findings, human sensory-motor integration theory using mechanical impedance was proposed.[3] A prototype system for the impedance training was developed with a couple of a liner motor table with one degree-of-freedom in which a various environmental impedance properties can be realized by a variable impedance control method. The effectiveness of the proposed training methodology was demonstrated with the cooperation of healthy volunteers.

人类具有高度发达的感觉受体和功能，使他们能够生存和识别各种外部信息，并可以调节其肌肉骨骼系统的动态特性，以实现特定的生理目标。人体运动的这种动态特性可以用机械阻抗参数来表示：刚度、粘性和惯性。本研究提出了一种基于人体机械阻抗的运动训练方法--阻抗训练法。主要成果如下：[1]利用机器人技术和虚拟技术开发了虚拟运动系统，并对人体在运动训练过程中的阻抗特性进行了定量研究。[2]研究了人体对肌肉阻抗特性的调节能力和人体对环境阻抗特性的感知能力。在此基础上，提出了基于机械阻抗的人体感觉-运动整合理论。[3]开发了一个阻抗训练的原型系统，该系统由一对单自由度直线电机工作台组成，通过可变阻抗控制方法可以实现各种环境阻抗特性。建议的培训方法的有效性与健康志愿者的合作证明。

项目成果

Manipulability Analysis of Kicking Motion in Soccer Based on Human Physical Properties

基于人体物理特性的足球踢球动作可操作性分析

• 发表时间: 2006
• 期刊: Proceedings of the 2006 IEEE International Conference on Systems, Man, and Cybernetics
• 作者: S.Morinaka;T.Nishi;M.Konishi;J.Imai;田中 良幸;M.Miura;T.Horiguchi;Yoshiyuki Tanaka
• 通讯作者: Yoshiyuki Tanaka

Virtual Driving Simulator for Measuring Dynamic Properties of Human Arm Movements

用于测量人体手臂运动动态特性的虚拟驾驶模拟器

• 发表时间: 2006
• 期刊: Journal of Robotics and Mechatronics 18・2
• 作者: Shoiciro Morinaka;Tatsushi Nishi;Masami.Konishi;Jun Imai;Yoshiyuki Tanaka
• 通讯作者: Yoshiyuki Tanaka

Tracking control properties of human-robotic systems based on impedance control

• DOI: 10.1109/tsmca.2005.850603
• 发表时间: 2005-07
• 期刊: IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
• 作者: T. Tsuji;Yoshiyuki Tanaka

Motion Dependence of Impedance Perception Ability in Human Movements

人体运动中阻抗感知能力的运动依赖性

• 发表时间: 2005
• 期刊: Proceedings of the First International Conference on Complex Medical Engineering
• 作者: 大澤文明;関啓明;神谷好承;Yoshiyuki TANAKA;Yoshiyuki TANAKA
• 通讯作者: Yoshiyuki TANAKA

A Virtual Prosthetic Hand Using EMG Signals for fMRI Measurements

使用 EMG 信号进行功能磁共振成像测量的虚拟假手

• 发表时间: 2004
• 期刊: Proceedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems
• 作者: M.ANDO;T.NISHI;M.KONISHI;J.IMAI;Masaharu Maruishi;T.Tsuji;田中 良幸;Yoshiyuki Tanaka
• 通讯作者: Yoshiyuki Tanaka