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http://dx.doi.org/10.5392/JKCA.2020.20.07.047

Turtle Neck Syndrome Posture Correction Service Using CNN-based Learning Model  

Han, Ji-Ye (숭실대학교 IT대학 글로벌미디어학부)
Park, Jin-Ho (숭실대학교 IT대학 글로벌미디어학부)
Publication Information
The Journal of the Korea Contents Association / v.20, no.7, 2020 , pp. 47-55 More about this Journal
Abstract
Along with the increased use of smart devices, the incidence of turtle neck syndrome among modern people has increased. Turtle neck syndrome is a posture in which the head is forward compared to the torso due to longer front muscles in the neck and shorter upper muscles, and it is more effective to fix the usual posture habits than surgery or medication. Thus, in this paper, a system is proposed to detect and warn posture that can cause turtle neck syndrome in real time. Image data of correct posture and turtle neck posture are collected to create a CNN-based learning model. Using only the webcam(Built-in camera), the sitting position that enters the camera is verified in real time through the learning model, and if it is a turtle neck position, it generates a warning sound and induces the correct posture. The system can induce people to correct their usual posture habits to treat turtle neck syndrome and prevent more serious diseases such as neck discs.
Keywords
Turtle Neck Syndrome; Postural Habit; CNN; Smart Devices; Webcam; Real Time;
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1 S. Y. Kim, N. S. Kim, and L. J. Kim, "Effects of cervical sustained natural apophyseal glide on forward head posture and respiratory function," J Phys Ther Sci., Vol.27, No.6, pp.1851-1854, 2015.   DOI
2 K. S. LEE and H. Y. Jung, "Analysis of the Change of the Forward Gead Posture According to Computer Using Time," Journal of The Korean Society of Physical Medicine, Vol.4, No.2, pp.117-124, 2009.
3 유인식, "현대인의 질환, 거북목 증후군(일자목)의 예방과 운동," 한국강구조학회지, 제22권, 제3호, pp.80-80, 2010.
4 김우준, 이웅희, 김황남, "영상장치를 활용한 거북목 검출 및 경고 시스템," 한국통신학회 학술대회논문집, pp.571-572, 2016.
5 T. Kim, S. Chen, and J. Lach, "Detecting and Preventing Forward Head Posture with Wireless Inertial Body Sensor Networks," 2011 International Conference on Body Sensor Networks, Dallas, TX, pp.125-126, 2011.
6 하호진, 이창동, "압력센서와 영상처리 보간기법을 이용한 앉은 자세의 교정 알고리즘 설계," 한국정보기술학 회논문지, 제14권, 제1호, pp.37-44, 2016.
7 김영신, 민세동, "근전도 분석을 통한 거북목 증후군 실시간 모니터링 시스템에 관한 기초연구," 대한전기학회 학술대회 논문집, pp.1663-1664, 2013.
8 Qi Wang, Marina Toeters, Wei Chen, Annick Timmermans, and Panos Markopoulos, "Zishi: A Smart Garment for Posture Monitoring," In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, Association for Computing Machinery, New York, NY, USA, pp.3792-3795, 2016.
9 Rushil Khurana, Elena Marinelli, Tulika Saraf, and Shan Li, "NeckGraffe: a postural awareness system," In CHI '14 Extended Abstracts on Human Factors in Computing Systems, Association for Computing Machinery, New York, NY, USA, pp.227-232, 2014.
10 김인중, "Deep Learning: 기계학습의 새로운 트랜드," 한국통신학회지(정보와통신), 제31권, 제11호, pp.52-57, 2014.
11 J. H. Kang, R. Y. J. Y. Kim, and K. I. Jung, "The effect of the forward head posture on postural balance in long time computer based worker," Annals of rehabilitation medicine, Vol.36, pp.98-104, 2012.   DOI
12 http://www.snuh.org/health/nMedInfo/nView.do?category=DIS&medid=AA000732, 20120.02.25.
13 김경훈, IT 기술은 청신호, 목 건강은 적신호, 건강보험심사평가원 보도자료, 2016.
14 과학기술정통부, 한국인터넷진흥원, 2018 인터넷 이용실태조사, 2018.
15 http://opendata.hira.or.kr/op/opc/olapMfrnInt rsIlnsInfo.do, 2020.02.25.
16 유인식, "현대인의 질환, 거북목 증후군(일자목)," 한국강구조학회지, 제22권, 제3호, pp.88-88, 2010.
17 M. M. Robertson, V. M. Ciriello, and A. M. Garabet, "Office ergonomics training and a sit-stand workstation: effects on musculoskeletal and visual symptoms and performance of office workers," Applied Ergonomics, Vol.44, No.1, pp.73-85, 2013.   DOI
18 Y. Le Cun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition," Proceedings of the IEEE, Vol.86, No.11, pp.2278-2324, 1998.   DOI
19 S. Lawrence, C. L. Giles, Ah Chung Tsoi, and A. D. Back, "Face recognition: a convolutional neural-network approach," IEEE Transactions on Neural Networks, Vol.8, No.1, pp.98-113, 1997.   DOI
20 Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton, "ImageNet Classification with Deep Convolutional Neural Networks," Advances in Neural Information Processing Systems, Vol.25, NIPS 2012.
21 https://opencv.org/, 2020.06.05.
22 https://www.tensorflow.org/, 2020.06.05.
23 https://processing.org/, 2020.03.10.
24 Boubenna, Hadjer and Dohoon Lee, "Image-based emotion recognition using evolutionary algorithms," Biologically inspired cognitive architectures, Vol.24, pp.70-76, 2018.   DOI
25 Hosub Lee, Young Sang Choi, Sunjae Lee, and Eunsoo Shim, "Smart pose: mobile posture-aware system for lowering physical health risk of smartphone users," In CHI '13 Extended Abstracts on Human Factors in Computing Systems, Association for Computing Machinery, New York, NY, USA, pp.2257-2266. 2013.