Quantifying Motor and Cognitive Function of the Upper Limb Using Mixed Reality Smartglasses

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In our aging world, the need to measure and evaluate motor and cognitive functions and to automate physical and occupational therapy will increase in the future. Many studies on VR-based rehabilitation systems are already underway. However, there are some issues such as the risk of falling or crashing due to the complete blockage of visual information, VR sickness, and lack of reality. The purpose of this research is to develop a system that simultaneously measures and evaluates multiple abilities and functions, such as motor function, cognitive function, and prediction ability, by using mixed reality (MR) smartglasses technology that enables interaction with spatially arranged objects while maintaining real-world information. In this study, we focused on the motor function of the upper limbs and cognitive function, and measured finger and gaze movements during a reaching task. In addition, we developed a game-based task for occupational therapy in a MR environment and reported the results.

Original languageEnglish
Title of host publication44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2556-2559
Number of pages4
ISBN (Electronic)9781728127828
DOIs
Publication statusPublished - 2022
Event44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 - Glasgow, United Kingdom
Duration: 2022 Jul 112022 Jul 15

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2022-July
ISSN (Print)1557-170X

Conference

Conference44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
Country/TerritoryUnited Kingdom
CityGlasgow
Period22/7/1122/7/15

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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