Modelling techniques for analysis of human activity patterns

Philip Holloway, Alan St Clair Gibson, David Lee, Estelle Lambert, Maia Angelova, Sara Lombardo, Jason Ellis, Laurie Rauch

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
DOIs
Publication statusPublished - Sept 2012
Event6th IEEE International Conference on Intelligent Systems - Sofia, Bulgaria
Duration: 1 Sept 2012 → …

Conference

Conference6th IEEE International Conference on Intelligent Systems
Period1/09/12 → …

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