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Calorie Expenditure Prediction Model of Elderly Living Alone using Motion Sensors for LBS Applications  

Jung, Kyung-Kwon (Millimeter-wave Innovation Research Center, Dongguk University)
Kim, Yong-Joong (Department of Electronics Engineering, Hallym University)
Publication Information
Journal of IKEEE / v.14, no.1, 2010 , pp. 17-24 More about this Journal
Abstract
This paper presents calorie expenditure prediction model of daily activity of elderly living alone for LBS(Location Based Service) applications. The proposed method is to describe the daily activity patterns of older adult using PIR (Passive InfraRed) motion sensors and to examine the relationships between physical activity and calorie expenditure. The developed motion detecting system is composed of a sensing system and a server system. The motion detecting system is a set of wireless sensor nodes which has PIR sensor to detect a motion of elder. Each sensing node sends its detection signal to a home gateway via wireless link. The home gateway stores the received signals into a remote database. The server system is composed of a database server and a web server, which provides web-based monitoring system to caregivers for more effective services. The experiment results show the adaptability and feasibility of the calorie expenditure model.
Keywords
LBS(Location Based Service);
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Times Cited By KSCI : 1  (Citation Analysis)
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1 S. Consolvo, P. Roessler, B. E. Shelton, A. LaMarca, B. Schilit, S. Bly, "Technology for care networks of elders," IEEE Pervasive Computing, 3(2), pp. 22-29, 2004.
2 김숙응, 이의훈, 실버산업의 이해, 형성출판사, 2007.
3 지경용 외, 유비쿼터스 시대의 보건 의료, 진한엠엔비, 2005.
4 WiMAX NWG WG, "WiMAX Network Protocols and Architecture for Location Based Service," Part of Network Release 1.5, Nov. 2007.
5 이인수, 실버산업의 전망과 과제, 대왕사, 2006.
6 이선우, 김용중, 이기섭, 김병정, "한림 지킴이: 독거 노인 일상 활동 원격 모니터링 시스템," 한국정보과학회, 한국정보과학회 논문지, 15(4), pp.244-254, 2009.   과학기술학회마을
7 3GPP2, www.3gpp2.org.
8 A. Helal, W. Mann, H. Elzabadani, J. King, Y. Kaddourah, and E. Jansen, "Gator Tech Smart House: A programmable pervasive Space," IEEE Computer Magazine, 38(3), pp. 50-60, 2005.   DOI
9 R. A. Brooks, "The intelligent room project: cognitive technology," Proceedings of the 2nd International Cognitive Technology Conference, pp. 271–278, 1997.
10 S.K. Das, D.J. Cook, A. Bhattacharya, E.O. Heierman, T.Y. Lin, "The role of prediction algorithm in the MavHome smart home architecture," IEEE Wireless Communicaion. 9(6), pp. 77–84, 2002.   DOI   ScienceOn
11 IEEE 802.11, http://www.ieee802.org/11
12 Todd M. Manini, James E. Everhart, Kushang V. Patel, Dale A. Schoeller, Lisa H. Colbert, Marjolein Visser, Frances Tylavsky, Douglas C. Bauer, Bret H. Goodpaster, Tamara B. Harris, "Daily activity energy expenditure and mortality among older adults," Journal of the American Medical Association, 266, pp. 171-179, 2007.
13 TinyOS Forum, http://www.tinyos.net
14 IEEE 802.15.4a, http://www.ieee802.org/15 TG4a.html
15 IEEE 802.21, http://www.ieee802.org/21
16 Jee Hyun Choi, Jeongwhan Lee, Hyun Tai Hwang, Jong Pal Kim, Jae Chan Park, Kunsoo Shin, "Estimation of Activity Energy Expenditure: Accelerometer Approach," 27th Annual International Conference of the IEEE-EMBS 2005, pp. 3830-3833, 2006.
17 K. Sagawa, H. Inooka, Y. Satoh, "Non-restricted measurement of walking distance," Systems, 2000 IEEE International Conference on Man, and Cybernetics, 3, pp. 1847 - 1852, 2000.
18 InTech, http://www.tinyosmall.co.kr
19 PerkinElmer Optoelectronics, http://optoelectronics.perkinelmer.com