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Sensors 2018, 18(5), 1545; https://doi.org/10.3390/s18051545

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

1
Department of Computer Science and Information Engineering, National Taipei University, New Taipei City 23741, Taiwan
2
College of Electrical Engineering and Computer Science, National Taipei University, New Taipei City 23741, Taiwan
3
Department of Physical Medicine and Rehabilitation, Chi-Mei Medical Center, Tainan 71004, Taiwan
4
Department of Electrical Engineering, Yuan Ze University, Taoyuan City 32003, Taiwan
5
Department of Physical Medicine & Rehabilitation, Taoyuan Chang Gung Memorial Hospital, Taoyuan City 333, Taiwan
6
Center for Healthy and Aging Research, Chang Gung University, Taoyuan City 33302, Taiwan
7
School of Medicine, Medical College, Chang Gung University, Taoyuan City 33302, Taiwan
*
Author to whom correspondence should be addressed.
Received: 27 March 2018 / Revised: 9 May 2018 / Accepted: 10 May 2018 / Published: 13 May 2018
(This article belongs to the Special Issue Inertial Sensors and Systems 2018)
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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. View Full-Text
Keywords: motion capture; data glove; inertial sensor; joint measurement; rehabilitation motion capture; data glove; inertial sensor; joint measurement; rehabilitation
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Lin, B.-S.; Lee, I.-J.; Yang, S.-Y.; Lo, Y.-C.; Lee, J.; Chen, J.-L. Design of an Inertial-Sensor-Based Data Glove for Hand Function Evaluation. Sensors 2018, 18, 1545.

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