Upper-limb exoskeletons (ULEs) have the potential to restore functional independence in individuals with severe motor impairments; however, the clinical relevance of wrist degrees of freedom (DoF), particularly abduction-adduction (Ab-Ad), remains insufficiently evaluated. This study investigates the functional and user-perceived impact of wrist Ab-Ad assistance during two activities of daily living (ADLs). Wrist Ab-Ad assistance in a tongue-controlled 6-DoF ULE, EXOTIC2, was evaluated in a within-subject study involving one individual with amyotrophic lateral sclerosis and five individuals with spinal cord injury. Participants performed drinking and scratch stick leveling tasks with EXOTIC2 under two conditions: with and without wrist Ab-Ad assistance. Outcome measure included task success, task completion time, kinematic measures, and a usability questionnaire capturing comfort, functional perception, and acceptance. Enabling wrist Ab-Ad improved task success rates across both ADLs, with consistent reductions in spillage (from 77.8% spillages to 22.2%) and failed placements (from 66.7% to 16.7%). Participants utilized task-specific subsets of the available wrist range of motion, indicating that effective control within functional ranges was more critical than maximal joint excursion. Questionnaire responses indicated no increase in discomfort with the additional DoF and reflected perceived improvements in task performance. In conclusion, wrist Ab-Ad assistance enhances functional task performance in assistive exoskeleton use without compromising user comfort. However, its effectiveness depends on task context, control usability, and individual user strategies. This study provides clinically relevant, user-centered evidence supporting the inclusion of wrist Ab-Ad in ULEs, emphasizing the importance of balancing functional capability with usability in assistive device design.


翻译:暂无翻译

0
下载
关闭预览

相关内容

《拥挤与受限环境下机器人集群协同控制》150页
专知会员服务
22+阅读 · 2025年5月4日
Hierarchically Structured Meta-learning
CreateAMind
27+阅读 · 2019年5月22日
【泡泡图灵智库】基于CPU的实时6D物体姿态估计(arXiv)
泡泡机器人SLAM
12+阅读 · 2019年1月26日
强化学习的Unsupervised Meta-Learning
CreateAMind
18+阅读 · 2019年1月7日
Unsupervised Learning via Meta-Learning
CreateAMind
44+阅读 · 2019年1月3日
A Technical Overview of AI & ML in 2018 & Trends for 2019
待字闺中
18+阅读 · 2018年12月24日
From Softmax to Sparsemax-ICML16(1)
KingsGarden
74+阅读 · 2016年11月26日
国家自然科学基金
0+阅读 · 2015年12月31日
国家自然科学基金
0+阅读 · 2015年12月31日
国家自然科学基金
0+阅读 · 2014年12月31日
VIP会员
最新内容
DeepSeek 版Claude Code,免费小白安装教程来了!
专知会员服务
10+阅读 · 5月5日
《美空军条令出版物 2-0:情报(2026版)》
专知会员服务
14+阅读 · 5月5日
帕兰提尔 Gotham:一个游戏规则改变器
专知会员服务
9+阅读 · 5月5日
【综述】 机器人学习中的世界模型:全面综述
专知会员服务
13+阅读 · 5月4日
伊朗的导弹-无人机行动及其对美国威慑的影响
相关VIP内容
《拥挤与受限环境下机器人集群协同控制》150页
专知会员服务
22+阅读 · 2025年5月4日
Top
微信扫码咨询专知VIP会员