• DocumentCode
    168216
  • Title

    Context-Aware Prompting System for Improving Physical Activity

  • Author

    Chung-Tse Liu ; Hsu, Steen J. ; Chia-Tai Chan

  • Author_Institution
    Dept. of Biomed. Eng., Nat. Yang-Ming Univ., Taipei, Taiwan
  • fYear
    2014
  • fDate
    10-12 June 2014
  • Firstpage
    836
  • Lastpage
    839
  • Abstract
    Sufficient physical activity can introduce many health benefits and reduce the risk of many chronic diseases such as coronary heart disease, type 2 diabetes, and cognitive impairment. Physical activity can improve bodily health as well as cognitive function and increase life expectancy. Unfortunately, physical inactivity is around world. Increased physical activity has become an important personal health issue in recent years. Context-aware prompting system can integrate information of activity and activity level to reason subject physical activity condition. Based on the condition, a message is generated to notify subject for improving physical activity. This paper proposed a context-aware prompting system to maintain or increase physical activity for personal healthcare management. The proposed mechanism utilizes a smart phone to collect activity context and transmit to remote server for context-aware. The system would generate a message to notify subject based on the context to suggest subject improve physical activity. The preliminary results show good performance of context collection and provide context-aware prompting service to improve physical activity. It fulfills the requirement of personal healthcare management goal to achieve sufficient physical activity.
  • Keywords
    diseases; health care; smart phones; ubiquitous computing; bodily health; chronic diseases; cognitive function; cognitive impairment; context-aware prompting service; context-aware prompting system; coronary heart disease; health benefits; life expectancy; personal healthcare management goal; physical activity condition; physical inactivity; remote server; smart phone; type 2 diabetes; Context; Diseases; Estimation; Feature extraction; History; Legged locomotion; Smart phones; Activity Level; Activity Recognition; Context-Aware; Physical Activity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Consumer and Control (IS3C), 2014 International Symposium on
  • Conference_Location
    Taichung
  • Type

    conf

  • DOI
    10.1109/IS3C.2014.221
  • Filename
    6846013