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Abnormality Detection Of Persons Living Alone Using Daily Life Patterns Obtained From Sensors

Authors: Ippei Kamihira; Takashi Nakajima; Taiyo Matsumura; Hikaru Miura; Takashi Ono;

Abnormality Detection Of Persons Living Alone Using Daily Life Patterns Obtained From Sensors

Abstract

{"references": ["Ministry of Internal Affairs and Communications: 2010 National Census, \"Results of Basic Calculations on Population, etc., Summary of Results\" (in Japanese), 2011, p. 14.", "Tokyo medical Examiner's Office, Bureau of Social Welfare and Public Health, Tokyo Metropolitan Government, \"Business Summary 2011\"\t (in Japanese), 2011, p.52.", "Cabinet Office Japan, \"Annual Report on the Aging Society: 2010 (Summary)\", 2011, p.19.", "F. Ehara, T. Kubo, K. Tanaka, \"Measurement System of Body Conduction Sounds Using a Mbed Microcontroller\", The proceedings of the 1st International Conference on Industrial Application Engineering, 2013, pp.39-42.", "O. O. Oluwgbenga, \"Architecture Integrating Wireless Body Area Networks with Web Services for Ubiquitous Healthcare Service Provisioning\", World Academy of Science, Engineering and Technology 72, 2012, pp.252-259.", "M. Alaoui, M. Lewkowicz and A. Seffah, \"Increasing elderly social relationships through TV-based services\", IHI '12 Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, 2012, pp.13-19.", "M. Ianculescu, E. Lupeanu, A. Alexandru, E. Tudora, O. A. Coman, L. Coman, \"A demand for more personalized accessible medical informatics in an aging world\", International Journal of Education and Information Technologies Issue 1, Volume 6, 2012, pp.62-70", "V. Vimarlund, N. Olve, I. Scandurra and S. Koch, \"Organizational effects of Information and Communication Technology (ICT) in elderly homecare: A case study\", Health Informatics Journal September 2008 vol. 14 no. 3 195-210.", "L. Alpay, J. Verhoef, B. Xie, D. T. eni and J.H.M. Zwetsloot-Schonk, \"Current Challenge in Consumer Health Informatics: Bridging the Gap between Access to Information and Information Understanding\", Biomedical Informatics Insights 2009:2 pp.1\u201310.\n[10]\tI. Kamihira, T. Nakajima, T. Matsumura, H. Miura and T. Ono, \"Abnormal State Detection of One Person Household by Life Pattern Measurement\", The Papers of Joint Technical Meeting on \"Light Application and Visual Science\" and \"Instrumentation and Measurement\", IEE Japan, LAV-13-001, IM-13-001, 2013, pp. 1-6."]}

In this research, the goal was construction of a system by which multiple sensors were used to observe the daily life behavior of persons living alone (while respecting their privacy), using this information to judge such conditions as bad physical condition or falling in the home, etc., so that these abnormal conditions can be made known to relatives and third parties. The daily life patterns of persons living alone are expressed by the number of responses of sensors each time that a set time period has elapsed. By comparing data for the prior two weeks, it was possible to judge a situation as “normal” when the person was in good physical condition or as “abnormal” when the person was in bad physical condition.

Keywords

Sensors, Abnormality detection, Elderly living alone, Lifestyle habit.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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