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Evaluation of Upper Limb Joint's Range of Motion Data by Kinect Sensor for Rehabilitation Exercise Game

Published: 17 May 2019 Publication History

Abstract

Rehabilitation is a tedious process both for patients and physiotherapists. Many games have been developed, especially for upper limb rehabilitation, to help training more enjoyable for patients which results in an increase in participation and shortening recovery time. Using game, patient's performance in each training course is assessed by the score patient receives after the session. Although these scores might correlate to the range of motion (ROM) of the arm, they cannot be used to directly for evaluation. In this study, a game was created for upper limb rehabilitation which also provides summary of upper limp movement over training session in terms of ROM by using Kinect camera. Formulae to obtain seven upper limb's ROM angles i.e., especially for shoulder flexion, shoulder extension, shoulder abduction, shoulder adduction, shoulder internal rotation, shoulder external rotation and elbow flexion, have been derived. Experiments were conducted to evaluate accuracy of the ROM obtained from the calculation with respect to conventional measurement using goniometer. The results show that, with proper setting (position and orientation) of the Kinect sensor, ROM values obtained from the Kinect sensor match well to the goniometer to within +/-13.5%. Various statistics related to ROM data can be analyzed after each training session. This game would be a useful tool for physiotherapist to monitor and evaluate the progress of patient's recovery.

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Cited By

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  • (2024)Accuracy Improvement of Game Based Shoulder Joint ROM Measurement System for Preventive CareHCI International 2024 Posters10.1007/978-3-031-61966-3_41(379-387)Online publication date: 1-Jun-2024
  • (2023)Guidance Method of Arm Movement for Care Prevention on Game Based Shoulder Joint ROM MeasurementHCI International 2023 Posters10.1007/978-3-031-35992-7_25(175-183)Online publication date: 9-Jul-2023
  • (2021)AdaptiBrushACM Transactions on Graphics10.1145/3478513.348051140:6(1-15)Online publication date: 10-Dec-2021
  • Show More Cited By

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  1. Evaluation of Upper Limb Joint's Range of Motion Data by Kinect Sensor for Rehabilitation Exercise Game

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    cover image ACM Other conferences
    ICMHI '19: Proceedings of the 3rd International Conference on Medical and Health Informatics
    May 2019
    207 pages
    ISBN:9781450371995
    DOI:10.1145/3340037
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • University of Electronic Science and Technology of China: University of Electronic Science and Technology of China

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 May 2019

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    Author Tags

    1. Goniometer
    2. Kinect
    3. Range of motion
    4. Upper limb rehabilitation

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    Cited By

    View all
    • (2024)Accuracy Improvement of Game Based Shoulder Joint ROM Measurement System for Preventive CareHCI International 2024 Posters10.1007/978-3-031-61966-3_41(379-387)Online publication date: 1-Jun-2024
    • (2023)Guidance Method of Arm Movement for Care Prevention on Game Based Shoulder Joint ROM MeasurementHCI International 2023 Posters10.1007/978-3-031-35992-7_25(175-183)Online publication date: 9-Jul-2023
    • (2021)AdaptiBrushACM Transactions on Graphics10.1145/3478513.348051140:6(1-15)Online publication date: 10-Dec-2021
    • (2021)Adaptive Virtual Reality Exergame: Promoting Physical Activity Among WorkersJournal of Computing and Information Science in Engineering10.1115/1.405300222:3Online publication date: 10-Dec-2021

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