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Cited 2 time in webofscience Cited 2 time in scopus
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Comprehensive Monitoring of Bad Head and Shoulder Postures by Wearable Magnetic Sensors and Deep Learning

Authors
Jang, Hyeong KyuHan, HobeomYoon, Sang Won
Issue Date
Nov-2020
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Magnet-magnetometer pair; comprehensive monitoring; postural diseases; deep neural netwTRork
Citation
IEEE SENSORS JOURNAL, v.20, no.22, pp.13768 - 13775
Indexed
SCIE
SCOPUS
Journal Title
IEEE SENSORS JOURNAL
Volume
20
Number
22
Start Page
13768
End Page
13775
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/3646
DOI
10.1109/JSEN.2020.3004562
ISSN
1530-437X
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.
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서울 공과대학 > 서울 미래자동차공학과 > 1. Journal Articles

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COLLEGE OF ENGINEERING (DEPARTMENT OF AUTOMOTIVE ENGINEERING)
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