Development of a Data-driven Self-adaptive Upper Limb Virtual Rehabilitation System for Post Stroke Elderly

被引：3

作者：

Luo, Zhiqiang ^{[1
]}

Lim, Tek Yong ^{[2
]}

机构：

[1] Foshan Univ, Sch Ind Design & Ceram Art, Foshan, Peoples R China

[2] Multimedia Univ, Fac Comp & Informat, Cyberjaya, Malaysia

来源：

2023 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS, VRW | 2023年

关键词：

Virtual rehabilitation; precision rehabilitation; virtual exergame; machine learning;

D O I：

10.1109/VRW58643.2023.00160

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The study aims to develop a virtual rehabilitation system to assist upper limb motor training for older post-stroke patients. The system contains data-driven virtual exergames simulating the task-oriented training; receives the rehabilitation prescription and the online data collected from the multi-mode hand controller and the depth camera; assesses online patient's performance which in turn updates the data of virtual exergames to adapt to the patient's training progress. Its innovation is providing precision rehabilitation via gaining the personalized learning experience to improve the adherence to and effectiveness of virtual rehabilitation.

引用

页码：635 / 636

页数：2

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