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Wearable Hand Module and Real-Time Tracking Algorithms for Measuring Finger Joint Angles of Different Hand Sizes with High Accuracy Using FBG Strain Sensor
This paper presents a wearable hand module which was made of five fiber Bragg grating (FBG) strain sensor and algorithms to achieve high accuracy even when worn on different hand sizes of users. For real-time calculation with high accuracy, FBG strain sensors move continuously according to the size...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181016/ https://www.ncbi.nlm.nih.gov/pubmed/32235532 http://dx.doi.org/10.3390/s20071921 |
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author | Kim, Jun Sik Kim, Byung Kook Jang, Minsu Kang, Kyumin Kim, Dae Eun Ju, Byeong-Kwon Kim, Jinseok |
author_facet | Kim, Jun Sik Kim, Byung Kook Jang, Minsu Kang, Kyumin Kim, Dae Eun Ju, Byeong-Kwon Kim, Jinseok |
author_sort | Kim, Jun Sik |
collection | PubMed |
description | This paper presents a wearable hand module which was made of five fiber Bragg grating (FBG) strain sensor and algorithms to achieve high accuracy even when worn on different hand sizes of users. For real-time calculation with high accuracy, FBG strain sensors move continuously according to the size of the hand and the bending of the joint. Representatively, four algorithms were proposed; point strain (PTS), area summation (AREA), proportional summation (PS), and PS/interference (PS/I or PS/I_ [Formula: see text]). For more accurate and efficient assessments, 3D printed hand replica with different finger sizes was adopted and quantitative evaluations were performed for index~little fingers (77 to 117 mm) and thumb (68~78 mm). For index~little fingers, the optimized algorithms were PS and PS/I_ [Formula: see text]. For thumb, the optimized algorithms were PS/I_ [Formula: see text] and AREA. The average error angle of the wearable hand module was observed to be 0.47 ± 2.51° and mean absolute error (MAE) was achieved at 1.63 ± 1.97°. These results showed that more accurate hand modules than other glove modules applied to different hand sizes can be manufactured using FBG strain sensors which move continuously and algorithms for tracking this movable FBG sensors. |
format | Online Article Text |
id | pubmed-7181016 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-71810162020-04-30 Wearable Hand Module and Real-Time Tracking Algorithms for Measuring Finger Joint Angles of Different Hand Sizes with High Accuracy Using FBG Strain Sensor Kim, Jun Sik Kim, Byung Kook Jang, Minsu Kang, Kyumin Kim, Dae Eun Ju, Byeong-Kwon Kim, Jinseok Sensors (Basel) Article This paper presents a wearable hand module which was made of five fiber Bragg grating (FBG) strain sensor and algorithms to achieve high accuracy even when worn on different hand sizes of users. For real-time calculation with high accuracy, FBG strain sensors move continuously according to the size of the hand and the bending of the joint. Representatively, four algorithms were proposed; point strain (PTS), area summation (AREA), proportional summation (PS), and PS/interference (PS/I or PS/I_ [Formula: see text]). For more accurate and efficient assessments, 3D printed hand replica with different finger sizes was adopted and quantitative evaluations were performed for index~little fingers (77 to 117 mm) and thumb (68~78 mm). For index~little fingers, the optimized algorithms were PS and PS/I_ [Formula: see text]. For thumb, the optimized algorithms were PS/I_ [Formula: see text] and AREA. The average error angle of the wearable hand module was observed to be 0.47 ± 2.51° and mean absolute error (MAE) was achieved at 1.63 ± 1.97°. These results showed that more accurate hand modules than other glove modules applied to different hand sizes can be manufactured using FBG strain sensors which move continuously and algorithms for tracking this movable FBG sensors. MDPI 2020-03-30 /pmc/articles/PMC7181016/ /pubmed/32235532 http://dx.doi.org/10.3390/s20071921 Text en © 2020 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 Kim, Jun Sik Kim, Byung Kook Jang, Minsu Kang, Kyumin Kim, Dae Eun Ju, Byeong-Kwon Kim, Jinseok Wearable Hand Module and Real-Time Tracking Algorithms for Measuring Finger Joint Angles of Different Hand Sizes with High Accuracy Using FBG Strain Sensor |
title | Wearable Hand Module and Real-Time Tracking Algorithms for Measuring Finger Joint Angles of Different Hand Sizes with High Accuracy Using FBG Strain Sensor |
title_full | Wearable Hand Module and Real-Time Tracking Algorithms for Measuring Finger Joint Angles of Different Hand Sizes with High Accuracy Using FBG Strain Sensor |
title_fullStr | Wearable Hand Module and Real-Time Tracking Algorithms for Measuring Finger Joint Angles of Different Hand Sizes with High Accuracy Using FBG Strain Sensor |
title_full_unstemmed | Wearable Hand Module and Real-Time Tracking Algorithms for Measuring Finger Joint Angles of Different Hand Sizes with High Accuracy Using FBG Strain Sensor |
title_short | Wearable Hand Module and Real-Time Tracking Algorithms for Measuring Finger Joint Angles of Different Hand Sizes with High Accuracy Using FBG Strain Sensor |
title_sort | wearable hand module and real-time tracking algorithms for measuring finger joint angles of different hand sizes with high accuracy using fbg strain sensor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181016/ https://www.ncbi.nlm.nih.gov/pubmed/32235532 http://dx.doi.org/10.3390/s20071921 |
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