Design of an Inertial-Sensor-Based Data Glove for Hand Function Evaluation

Sensors
Bor-Shing LinJean-Lon Chen

Abstract

Capturing hand motions for hand function evaluations is essential in the medical field. Various data gloves have been developed for rehabilitation and manual dexterity assessments. This study proposed a modular data glove with 9-axis inertial measurement units (IMUs) to obtain static and dynamic parameters during hand function evaluation. A sensor fusion algorithm is used to calculate the range of motion of joints. The data glove is designed to have low cost, easy wearability, and high reliability. Owing to the modular design, the IMU board is independent and extensible and can be used with various microcontrollers to realize more medical applications. This design greatly enhances the stability and maintainability of the glove.

References

Jan 1, 1990·Journal of Rehabilitation Research and Development·S WiseJ M Rosen
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Mar 12, 2013·IEEE Transactions on Bio-medical Engineering·Cheryl D MetcalfSara H Demain
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Jan 27, 2017·Sensors·Milica Djurić-JovičićAntonije R Djordjević
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Jul 6, 2017·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Bor-Shing LinI-Jung Lee
Oct 27, 2017·Journal of Healthcare Engineering·Tongyang SunYulong Wang
Oct 27, 2017·Journal of Healthcare Engineering·Tongyang SunYulong Wang

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Citations

Jan 11, 2019·Sensors·Christina Salchow-HömmenThomas Seel
Nov 23, 2019·Sensors·José C V S JuniorMarcelo A C Fernandes
Jan 13, 2021·Sensors·Bogusz LewandowskiJacek Bałchanowski
May 26, 2021·Hand : Official Journal of the American Association for Hand Surgery·Francisco R AvilaAntonio J Forte
Jul 23, 2021·Journal of Rehabilitation and Assistive Technologies Engineering·Ann DavidSivakumar Balasubramanian
Jun 4, 2020··Abhay Sheel AnandBhawana Chhaglani

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Software Mentioned

Unity
LPMS
Arduino

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