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A Context-Aware Interactive Health Care System Based on Ontology and Fuzzy Inference.

In the present society, most families are double-income families, and as the long-term care is seriously short of manpower, it contributes to the rapid development of tele-homecare equipment, and the smart home care system gradually emerges, which assists the elderly or patients with chronic disease...

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Published in:Journal of Medical Systems Vol. 39; no. 9; pp. 1 - 26
Main Authors: Chiang, Tzu-Chiang, Liang, Wen-Hua
Format: equations & formulas pictorial research tables/charts Journal Article
Published: Springer Nature Sep2015
Online Access:View this record in EBSCOhost
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      dt: Sep2015
      vid: 39
      iid: 9
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10916-015-0287-2
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        atl: A Context-Aware Interactive Health Care System Based on Ontology and Fuzzy Inference.
      aug:
        au:
          Chiang, Tzu-Chiang
          Liang, Wen-Hua
        affil: Department of Information Management, Tunghai University, Taichung Republic of China
      sug:
        subj:
          Long Term Care
          Monitoring, Physiologic
          Motion Analysis Systems
          User-Computer Interface
          Logic
          Blood Glucose
          Blood Pressure
          Heart Rate
          Cholesterol Blood
          Human
          Simulations
          Mobile Applications
          Funding Source
      ab: In the present society, most families are double-income families, and as the long-term care is seriously short of manpower, it contributes to the rapid development of tele-homecare equipment, and the smart home care system gradually emerges, which assists the elderly or patients with chronic diseases in daily life. This study aims at interaction between persons under care and the system in various living spaces, as based on motion-sensing interaction, and the context-aware smart home care system is proposed. The system stores the required contexts in knowledge ontology, including the physiological information and environmental information of the person under care, as the database of decision. The motion-sensing device enables the person under care to interact with the system through gestures. By the inference mechanism of fuzzy theory, the system can offer advice and rapidly execute service, thus, implementing the EHA. In addition, the system is integrated with the functions of smart phone, tablet PC, and PC, in order that users can implement remote operation and share information regarding the person under care. The health care system constructed in this study enables the decision making system to probe into the health risk of each person under care; then, from the view of preventive medicine, and through a composing system and simulation experimentation, tracks the physiological trend of the person under care, and provides early warning service, thus, promoting smart home care.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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