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
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