1인 가구를 위한 TV자동 제어 시스템

TV Automatic Control System for Single-person Households

  • 김은서 (상명대학교 시스템반도체공학과) ;
  • 임재윤 (상명대학교 시스템반도체공학과) ;
  • 김선희 (상명대학교 시스템반도체공학과)
  • Kim, Eun Seo (Department of System Semiconductor Engineering, Sangmyung University) ;
  • Lim, Jaeyun (Department of System Semiconductor Engineering, Sangmyung University) ;
  • Kim, Sunhee (Department of System Semiconductor Engineering, Sangmyung University)
  • 투고 : 2022.02.09
  • 심사 : 2022.03.25
  • 발행 : 2022.03.31

초록

The number of single-person households is increasing worldwide, and among them, the proportion of elderly single-person households is increasing. In the case of elderly single-person households, a significant portion of their leisure time is devoted to watching TV. However, if they fall asleep while watching TV without turning it off, it may be difficult to sleep well due to lights and sounds of TV, which can cause health problems such as depression and reduced immunity. Therefore, in this paper, we propose a system that automatically turns off the TV when a person watching TV falls asleep. Images are collected using the camera installed in front of the TV. Since the posture of a person watching TV varies from a sitting posture to a lying posture, the system is designed to determine whether or not to fall asleep regardless of the posture. In addition, since it becomes difficult to judge eye movements as a person moves away from the TV, a method for extending the judgmentable distance is proposed. The system model was implemented and tested using a Raspberry Pi, a monitor, an infrared sensor, and a camera. Eye movements were judged regardless of sitting or lying position, and the distance between a user and a TV was extended by about 200 cm.

키워드

과제정보

본 연구는 과학기술정보통신부와 연구개발특구진흥재단이 지원하는 과학벨트 지원사업으로 수행된 연구결과입니다.

참고문헌

  1. Kang, J.H and Ki, S.H., ""I'm lonely" single-person household policy, what about developed countries overseas," MONEYTODAY, Retrieved March 18, 2022, from https://news.mt.co.kr/mtview.php?no=2021090813485596005, (09.09, 2021).
  2. Lee, J.W., "[Single Society] How is the world responding to the increase in single-person households," DAILYPOP, Retrieved March 18, 2022, from https://www.dailypop.kr/news/articleView.html?idxno=42894, (01.08, 2020).
  3. Park, K.H., "Single-person households exceed 40% for the first time... Four-person households are less than 20%," Sedaily. Retrieved March 18, 2022, from https://www.sedaily.com/NewsVIew/22SMWCCZKS, (10.06, 2021).
  4. Park, S.W., "32% of the total population is one-person households... 40% are concentrated in the metropolitan area such as Seoul and Gyeonggi," ChonsunBiz. Retrieved March 18, 2022, from https://biz.chosun.com/policy/policy_sub/2021/12/08/2X3QKSC7OVGBFPKAZIMCD7C72I/, (12.08, 2021).
  5. Yeon Soo Kwon, "A Study on the Characteristics & Consumption Patterns of Single-person Households," Department of Business & Entrepreneurship, Graduate School of Business & Entrepreneurship, Gyeongnam National University of Science and Technology, Master's thesis, 2021
  6. Hyung-Jun Um, Jun-Young Kim, "TV and mobile are 'best friends', meals are 'roughly'...Self-portrait of a single-person household," SEGYE. Retrieved March 18, 2022, from http://m.segye.com/view/20210117510840, (02.05, 2021).
  7. Kim, G.B., "There are more elderly single-person households, but there is nothing to play with. A majority of those in their 60s or older "play alone."," BRAVO My Life. Retrieved March 18, 2022, from https://bravo.etoday.co.kr/view/atc_view.php?varAtcId=12831, (10.07, 2021).
  8. Hyunhee Lee, Sanghoe Koo, "Utilizing Social Network Services to Alleviate Social Isolation and Loneliness of the Elderly in Korea", Journal of Korean Associastion for Regional Information Society, Vol.14, No.2, pp.105-121, 2011.
  9. MoonHea Ko, "Relationships between geriatric depression, leisure activities, and drinking habits", Department of public Health, Chonnam National University Graduate School, Master's thesis, 2008
  10. Lee, B.H., "Sleeping with the TV on, is it good for your health", KoreaMedicare. Retrieved March 18, 2022, from https://kormedi.com/1339309/tv -%ec%bc%9c%eb%86%93%ea%b3%a0-%ec%9e%90%eb%8a%94-%ec%8a%b5%ea%b4%80-%ea%b1%b4%ea%b0%95%ec%97%90-%ea%b4%9c%ec%b0%ae%ec%9d%84%ea%b9%8c/2021/, (05.10, 2021).
  11. Moon-Chang Shin, Won-Young Lee, "A Driver's Condition Warning System using Eye Aspect Ratio", Journal of the KIECS, Vol.15, No.2, pp.349-356, 2020.
  12. J. Wong and P. Lau, "Real-Time Driver Alert System Using Raspberry Pi," ECTI Trans. on Electrical Eng., Electronics, and Communication, Vol.17, No.2, pp.193-203, 2019. https://doi.org/10.37936/ecti-eec.2019172.215488
  13. W. Chee, P. Lau, and S. Park, "Real-time Lane Keeping Assistant System on Raspberry Pi," IEIE Trans. on Smart Processing & Computing, Vol. 6, No. 6, pp.379-386, 2017. https://doi.org/10.5573/IEIESPC.2017.6.6.379
  14. V. Kazemi and J. Sullivan, "One Millisecond Face Alignment with an Ensemble of Regression Trees," Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1867-1874, 2014.
  15. Jaehee Lee, Gooman Park, "Non-face-to-face online lecture assistance system based on face recogniton," 2020 The Korean Institute of Broadcast and Media Engineers Fall Conference, 2020.
  16. Xuanyi Dong, "Style Aggregated Network for Facial Landmark Detection", Cornell University, 2018.
  17. Kyung Nam Park, "A Face Replacement Method Using Affine Transform of Delaunay Triangles," Journal of Digital Contents Society - Vol. 22, No. 2, pp.253-262, 2021. https://doi.org/10.9728/dcs.2021.22.2.253