A Context-aware Information in Smart Home for Health Recommendation Service based on CARE Architecture

نویسندگان

  • Konlakorn Wongpatikaseree
  • Azman Osman Lim
  • Yasuo Tan
چکیده

Nowadays, providing a health service to home users presents a number of challenging tasks. Several researches attempt to provide health services to home users. Apart of health service, health recommendation service is proposed as a term of recommendation health service for preventing the disease. However, the existing research works suffer to provide the appropriate health recommendation service because most of researches analyze the disease based on only user’s health condition. In this paper, we aim to help the physician to analyze the health recommendation service by providing the human behavior information and context-aware information in smart home. The healthcare system and physician can analyze the cause of disease through provided information. To obtain there relevant information, context-aware activity recognition engine (CARE) architecture is proposed for providing the context-aware information and also human activity information. Human behavior analysis system is also established in this research for summarization the outputs from the CARE architecture. Through experiment studies, the results of questionnaire express the importance of the provided information. The human behavior information can be used to analyze the appropriate health recommendation service for the home user.

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تاریخ انتشار 2013