• DocumentCode
    173263
  • Title

    Physical activity estimation using accelerometer and facility information for elderly healthcare

  • Author

    Hayashi, Mariko ; Kanbara, Masayuki ; Ukita, Norimichi ; Hagita, Norihiro

  • Author_Institution
    Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Ikoma, Japan
  • fYear
    2014
  • fDate
    5-8 Oct. 2014
  • Firstpage
    659
  • Lastpage
    663
  • Abstract
    This paper proposes a novel framework to estimate the amount of physical activity at a place where people stayed, by utilizing facility information and user´s acceleration data. The total amount of physical activities, energy expenditure of a physical activity is a good scale. Our framework provides a physical activity scale based on typical energy expenditure of the activity given by existing researches already. To estimates the energy expenditure, we use typical value of metabolic equivalents to task (MET) which is used as practical scale. Unlike the other studies for monitoring physical activity, we estimate the type of user´s activity using facility information which are obtained from road map and land-use/land-cover map. To confirm the feasibility of our approach, we have conducted a long-term experiment on monitoring the activity of elderly people living in less-populated area. As a result, our framework provides good summarization of daily activities of participants.
  • Keywords
    acceleration measurement; accelerometers; biomedical measurement; gait analysis; geriatrics; health care; patient monitoring; MET; accelerometer; daily activity; elderly healthcare; elderly people living activity monitoring; energy expenditure; facility information; land-use-land-cover map; metabolic equivalent-to-task; physical activity estimation; physical activity monitoring; physical activity scale; road map; user acceleration data; Agriculture; Conferences; Estimation; Monitoring; Roads; Senior citizens; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/SMC.2014.6973984
  • Filename
    6973984