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

doi:10.1109/IS.2012.6335148

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

^*Corresponding author for this work

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English
Title of host publication	6th IEEE International Conference Intelligent Systems 2012
Publisher	IEEE
Pages	275-280
Number of pages	6
ISBN (Electronic)	9781467322782
DOIs	https://doi.org/10.1109/IS.2012.6335148
Publication status	Published - 22 Oct 2012
Event	6th IEEE International Conference Intelligent Systems 2012 - Sofia, Bulgaria Duration: 6 Sept 2012 → 8 Sept 2012

Conference

Conference	6th IEEE International Conference Intelligent Systems 2012
Abbreviated title	IS 2012
Country/Territory	Bulgaria
City	Sofia
Period	6/09/12 → 8/09/12

ASJC Scopus subject areas

Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IS.2012.6335148

Cite this

@inproceedings{39eef5f907e94f2db92332323e09f743,

title = "Modelling techniques for analysis of human activity patterns",

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.",

author = "Philip Holloway and {St. Clair Gibson}, Alan and David Lee and Estelle Lambert and Maia Angelova and Sara Lombardo and Jason Ellis and Laurie Rauch",

year = "2012",

month = oct,

day = "22",

doi = "10.1109/IS.2012.6335148",

language = "English",

pages = "275--280",

booktitle = "6th IEEE International Conference Intelligent Systems 2012",

publisher = "IEEE",

address = "United States",

note = "6th IEEE International Conference Intelligent Systems 2012, IS 2012 ; Conference date: 06-09-2012 Through 08-09-2012",

}

Holloway, P, St. Clair Gibson, A, Lee, D, Lambert, E, Angelova, M, Lombardo, S, Ellis, J & Rauch, L 2012, Modelling techniques for analysis of human activity patterns. in 6th IEEE International Conference Intelligent Systems 2012. IEEE, pp. 275-280, 6th IEEE International Conference Intelligent Systems 2012, Sofia, Bulgaria, 6/09/12. https://doi.org/10.1109/IS.2012.6335148

TY - GEN

T1 - Modelling techniques for analysis of human activity patterns

AU - Holloway, Philip

AU - St. Clair Gibson, Alan

AU - Lee, David

AU - Lambert, Estelle

AU - Angelova, Maia

AU - Lombardo, Sara

AU - Ellis, Jason

AU - Rauch, Laurie

PY - 2012/10/22

Y1 - 2012/10/22

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84869826995&partnerID=8YFLogxK

U2 - 10.1109/IS.2012.6335148

DO - 10.1109/IS.2012.6335148

M3 - Conference contribution

AN - SCOPUS:84869826995

SP - 275

EP - 280

BT - 6th IEEE International Conference Intelligent Systems 2012

PB - IEEE

T2 - 6th IEEE International Conference Intelligent Systems 2012

Y2 - 6 September 2012 through 8 September 2012

ER -

Modelling techniques for analysis of human activity patterns

Abstract

Conference

ASJC Scopus subject areas

UN SDGs

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