Fatigue Detection Model for Upper Limb Rehabilitation in Virtual Reality

被引：1

作者：

Essalhi, M. ^{[1
]}

Martinez-Cid, S. ^{[1
]}

Herrera, V. ^{[1
]}

Albusac, J. ^{[1
]}

Schez-Sobrino, S. ^{[1
]}

Vallejo, D. ^{[1
]}

机构：

[1] Univ Castilla La Mancha, Dept Comp Sci, Paseo Univ 4, Ciudad Real 13071, Spain

来源：

NOVEL AND INTELLIGENT DIGITAL SYSTEMS: PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE, NIDS 2024 | 2024年 / 1170卷

关键词：

Upper Limb; Rehabilitation; Virtual Reality; Serious Games; Fatigue Detection; Box & Block test; AGGREGATION;

D O I：

10.1007/978-3-031-73344-4_13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a model designed for the detection of fatigue in an immersive Virtual Reality (VR) environment tailored for the rehabilitation of individuals with spinal cord injuries. The primary focus of this model is its application to the Box & Block test, which is intended to assist healthcare professionals in assessing patient progress. The conceptual basis of the model involves data fusion through OrderedWeighted Averaging (OWA) operators, which consolidate various metrics collected by theVRrehabilitation system employed. In addition, Fuzzy Logic is used to assess fatigue levels specific to each patient. The information presented to the therapist includes a comprehensive fatigue report with a fatigue classification output and a videocomponent that serves as a graphical representation highlighting key instances of fatigue during the performance of the prescribed exercises. Experimental results are presented to test the output of the model against participants' perceived fatigue during the tests.

引用

页码：161 / 172

页数：12

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