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Design of an Inertial-Sensor-Based Data Glove for Hand Function Evaluation
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 par...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982580/ https://www.ncbi.nlm.nih.gov/pubmed/29757261 http://dx.doi.org/10.3390/s18051545 |
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author | Lin, Bor-Shing Lee, I-Jung Yang, Shu-Yu Lo, Yi-Chiang Lee, Junghsi Chen, Jean-Lon |
author_facet | Lin, Bor-Shing Lee, I-Jung Yang, Shu-Yu Lo, Yi-Chiang Lee, Junghsi Chen, Jean-Lon |
author_sort | Lin, Bor-Shing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5982580 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-59825802018-06-05 Design of an Inertial-Sensor-Based Data Glove for Hand Function Evaluation Lin, Bor-Shing Lee, I-Jung Yang, Shu-Yu Lo, Yi-Chiang Lee, Junghsi Chen, Jean-Lon Sensors (Basel) Article 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. MDPI 2018-05-13 /pmc/articles/PMC5982580/ /pubmed/29757261 http://dx.doi.org/10.3390/s18051545 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lin, Bor-Shing Lee, I-Jung Yang, Shu-Yu Lo, Yi-Chiang Lee, Junghsi Chen, Jean-Lon Design of an Inertial-Sensor-Based Data Glove for Hand Function Evaluation |
title | Design of an Inertial-Sensor-Based Data Glove for Hand Function Evaluation |
title_full | Design of an Inertial-Sensor-Based Data Glove for Hand Function Evaluation |
title_fullStr | Design of an Inertial-Sensor-Based Data Glove for Hand Function Evaluation |
title_full_unstemmed | Design of an Inertial-Sensor-Based Data Glove for Hand Function Evaluation |
title_short | Design of an Inertial-Sensor-Based Data Glove for Hand Function Evaluation |
title_sort | design of an inertial-sensor-based data glove for hand function evaluation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982580/ https://www.ncbi.nlm.nih.gov/pubmed/29757261 http://dx.doi.org/10.3390/s18051545 |
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