《中国康复理论与实践》 ›› 2024, Vol. 30 ›› Issue (10): 1232-1240.doi: 10.3969/j.issn.1006-9771.2024.10.014

• 辅助技术 • 上一篇    

基于运动表现的双人上肢交互辅助策略设计

张忆晨1, 费思先2, 孙青2, 李璇璇2, 郭帅1()   

  1. 1.上海大学工程技术训练中心,上海市 200444
    2.上海市智能制造及机器人重点实验室,上海市 200444
  • 收稿日期:2024-09-01 修回日期:2024-09-09 出版日期:2024-10-25 发布日期:2024-11-08
  • 通讯作者: 郭帅(1974-),男,博士,教授,主要研究方向:康复机器人。E-mail: guoshuai@i.shu.edu.cn
  • 作者简介:张忆晨(1999-),男,汉族,江苏苏州市人,硕士研究生,主要研究方向:康复机器人技术。
  • 基金资助:
    国家自然科学基金项目(61973205)

A motion performance-based assistance strategy for dual-person upper limb interaction

ZHANG Yichen1, FEI Sixian2, SUN Qing2, LI Xuanxuan2, GUO Shuai1()   

  1. 1. Engineering Technology Training Center, Shanghai University, Shanghai 200444, China
    2. Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai 200444, China
  • Received:2024-09-01 Revised:2024-09-09 Published:2024-10-25 Online:2024-11-08
  • Contact: GUO Shuai, E-mail: guoshuai@i.shu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(61973205)

摘要:

目的 提出一种基于运动表现的自适应运动辅助策略,以平衡双人上肢康复训练中由于患者运动能力不同导致的运动强度差异。

方法 设计一种适用于双人康复训练的竞争性交互任务系统。引入两个运动学评价指标,采用模糊逻辑综合评价患者运动表现;构建自适应控制系统框架,通过基于差异度的自适应步长分段函数,实现机器人辅助水平的动态调整。不定向招募4名健康人进行测试。

结果 所提出的策略能够根据受试者运动表现自适应改变辅助程度,实现受试者运动能力差异的平衡,使交互双方处于相似的竞争水平。

结论 基于运动表现的自适应运动辅助策略,构建了自适应控制系统框架,能有效平衡不同运动能力受试者之间的技能水平,避免双人交互训练过程中运动强度不平衡问题。

关键词: 上肢康复, 运动表现, 辅助策略, 模糊逻辑, 人机交互

Abstract:

Objective To propose a motion performance-based adaptive assistance strategy to balance the differences in movement intensity caused by varying motor abilities in dual-person upper limb rehabilitation training.

Methods A competitive interactive task suitable for dual-person rehabilitation training was designed. Two kinematic evaluation metrics were introduced, and fuzzy logic was applied to comprehensively assess the patients' motor performance. An adaptive control system framework was constructed to dynamically adjust the robot's assistance level through a difference-based adaptive step-size piecewise function. Four healthy persons were recruited randomly to test the system.

Results The proposed strategy could adaptively adjust the level of assistance based on the participants' motor performance, balancing the differences in motor abilities between them and enabling both parties to engage at a similar competitive level.

Conclusion The motion performance-based adaptive assistance strategy and adaptive control system framework may balance the skill levels between participants with different motor abilities, avoiding the imbalance of training intensity during dual-person interactive rehabilitation.

Key words: upper limb rehabilitation, motion performance, assistance strategy, fuzzy logic, human-robot interaction

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