• DocumentCode
    1873363
  • Title

    Modelling techniques for analysis of human activity patterns

  • Author

    Holloway, P. ; Angelova, M. ; St.Clair Gibson, A. ; Lombardo, S. ; Lee, D. ; Ellis, J. ; Lambert, E. ; Rauch, L.

  • Author_Institution
    MML Res. Group, Northumbria Univ., Newcastle upon Tyne, UK
  • fYear
    2012
  • fDate
    6-8 Sept. 2012
  • Firstpage
    275
  • Lastpage
    280
  • Abstract
    We investigate the complexity and recurrence properties of human activity measured from forearm movement in individuals carrying out their normal daily routines. We show that complexity in activity decreases with age and speculate that this coincides with a reduction in healthy behaviour and could also indicate that one of the underlying physiological systems that help control and maintain a person´s activity levels could also be declining. We also uncover a threshold that exists in the 60-70 age-group and hypothesise that this be a possible peak in human activity levels.
  • Keywords
    behavioural sciences; physiology; forearm movement; healthy behaviour; human activity patterns; physiological systems; Aging; Complexity theory; Doped fiber amplifiers; Educational institutions; Fluctuations; Physiology; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (IS), 2012 6th IEEE International Conference
  • Conference_Location
    Sofia
  • Print_ISBN
    978-1-4673-2276-8
  • Type

    conf

  • DOI
    10.1109/IS.2012.6335148
  • Filename
    6335148