A Modular Data Glove System for Finger and Hand Motion Capture Based on Inertial Sensors

This study proposes a modular data glove system to accurately and reliably capture hand kinematics. This data glove system’s modular design enhances its flexibility. It can provide the hand’s angular velocities, accelerations, and joint angles to physicians for adjusting rehabilitation treatments. T...

Full description

Saved in:
Bibliographic Details
Published in:Journal of medical and biological engineering 2019-08, Vol.39 (4), p.532-540
Main Authors: Lin, Bor-Shing, Lee, I-Jung, Chiang, Pei-Ying, Huang, Shih-Yuan, Peng, Chih-Wei
Format: Article
Language:English
Subjects:
Algorithms
Angular velocity
Biomedical Engineering and Bioengineering
Cell Biology
Engineering
Hand
Imaging
Inertial sensing devices
Kinematics
Modular design
Modular systems
Motion capture
Original Article
Physicians
Questionnaires
Radiology
Rehabilitation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study proposes a modular data glove system to accurately and reliably capture hand kinematics. This data glove system’s modular design enhances its flexibility. It can provide the hand’s angular velocities, accelerations, and joint angles to physicians for adjusting rehabilitation treatments. Three validations—raw data verification, static angle verification, and dynamic angle verification—were conducted to verify the reliability and accuracy of the data glove. Furthermore, to ensure the wearability of the data glove, 15 healthy participants and 15 participants with stroke were recruited to test the data glove and fill out a questionnaire. The errors of the finger ROMs obtained from the fusion algorithm were less than 2°, proving that the fusion algorithm can measure the wearer’s range of motion accurately. The result of the questionnaire shows the participants’ high satisfaction with the data glove. Moreover, a comparison between the proposed data glove and related research shows that the proposed data glove is superior to other data glove systems.
ISSN:1609-0985
2199-4757
DOI:10.1007/s40846-018-0434-6