Comprehensive Monitoring of Bad Head and Shoulder Postures by Wearable Magnetic Sensors and Deep Learning
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jang, Hyeong Kyu | - |
dc.contributor.author | Han, Hobeom | - |
dc.contributor.author | Yoon, Sang Won | - |
dc.date.accessioned | 2021-07-30T05:13:20Z | - |
dc.date.available | 2021-07-30T05:13:20Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2020-11 | - |
dc.identifier.issn | 1530-437X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/3646 | - |
dc.description.abstract | In this work, a simultaneous monitoring method for bad posture, including the forward head posture (FHP), rounded shoulder (RS), and elevated shoulder (ES), is proposed. These postures and the resulting symptoms are becoming increasingly prevalent, and a comprehensive, simultaneous, and extensive analysis of such posture disorders is needed. The proposed method involves collecting posture data from a new combination of accelerometers and magnetometers paired with miniature magnets. The sensor locations are optimally chosen to reliably calculate neck and shoulder angles representing the craniovertebral angle (CVA) for FHP, forward shoulder angle (FSA) for RS, and symmetry angle (SA) for ES. Processing of the collected sensor data is achieved by deep neural network (DNN) and convolutional neural network (CNN) algorithms. Experimental results demonstrate successful bad posture classification with high accuracy (DNN: 88.1%, CNN: 88.7%) even with the simultaneous analysis of FHP, RS, and ES. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Comprehensive Monitoring of Bad Head and Shoulder Postures by Wearable Magnetic Sensors and Deep Learning | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Yoon, Sang Won | - |
dc.identifier.doi | 10.1109/JSEN.2020.3004562 | - |
dc.identifier.scopusid | 2-s2.0-85094115450 | - |
dc.identifier.wosid | 000579360400065 | - |
dc.identifier.bibliographicCitation | IEEE SENSORS JOURNAL, v.20, no.22, pp.13768 - 13775 | - |
dc.relation.isPartOf | IEEE SENSORS JOURNAL | - |
dc.citation.title | IEEE SENSORS JOURNAL | - |
dc.citation.volume | 20 | - |
dc.citation.number | 22 | - |
dc.citation.startPage | 13768 | - |
dc.citation.endPage | 13775 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
dc.subject.keywordPlus | HUMAN ACTIVITY RECOGNITION | - |
dc.subject.keywordPlus | WALKING | - |
dc.subject.keywordPlus | MODES | - |
dc.subject.keywordAuthor | Magnet-magnetometer pair | - |
dc.subject.keywordAuthor | comprehensive monitoring | - |
dc.subject.keywordAuthor | postural diseases | - |
dc.subject.keywordAuthor | deep neural netwTRork | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/9123910 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.