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A tool to monitor and support physical exercise interventions for MCI and AD patients

Published: 20 May 2014 Publication History

Abstract

This paper presents a tool to monitor and support the execution of common physical exercise interventions targeting people with Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD) and elderly in general. Our tool aims (a) to stimulate and guide patients within physical exercise programs, (b) to monitor patient capacity to perform exercises suggested by clinicians and provide objective feedback and (c) to enable early diagnosis of significant changes in the physical capacity of users over time. Our tool incorporates a virtual 3D trainer, demonstrating prescribed exercises; currently, arms lifting, arms stretching, torso bending and torso twisting are supported. Utilizing a low-cost depth camera and markerless skeletal joint estimation, our tool monitors movement during exercise execution, evaluating patient performance with a set of metrics introduced herein. Through preliminary experimental analysis, our metrics were found of significant potential to discriminate among good and bad executions of the currently supported exercises.

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  • (2022)Pivoting an MCI Empowerment Program to Online EngagementProceedings of the ACM on Human-Computer Interaction10.1145/34928516:GROUP(1-26)Online publication date: 14-Jan-2022

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PervasiveHealth '14: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare
May 2014
459 pages
ISBN:9781631900112

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ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)

Brussels, Belgium

Publication History

Published: 20 May 2014

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Author Tags

  1. MCI
  2. exercise performance assessment
  3. motion similarity metrics
  4. patient monitoring
  5. physical exercise interventions

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PervasiveHealth '14

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Overall Acceptance Rate 55 of 116 submissions, 47%

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  • (2022)Pivoting an MCI Empowerment Program to Online EngagementProceedings of the ACM on Human-Computer Interaction10.1145/34928516:GROUP(1-26)Online publication date: 14-Jan-2022

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