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
Link To Document :
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