Modeling patterns of activities using activity curves

Prafulla N Dawadi; Diane J Cook; Maureen Schmitter-Edgecombe

doi:10.1016/j.pmcj.2015.09.007

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Modeling patterns of activities using activity curves

Journal article

Open access

Peer reviewed

Modeling patterns of activities using activity curves

Prafulla N Dawadi, Diane J Cook and Maureen Schmitter-Edgecombe

Pervasive and mobile computing, Vol.28, pp.51-68

06/2016

DOI: https://doi.org/10.1016/j.pmcj.2015.09.007

Handle:

https://hdl.handle.net/2376/109492

PMCID: PMC4918097

PMID: 27346990

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Abstract

Smart environments

Functional assessment

Permutation

Activity curve

Pervasive computing offers an unprecedented opportunity to unobtrusively monitor behavior and use the large amount of collected data to perform analysis of activity-based behavioral patterns. In this paper, we introduce the notion of an activity curve, which represents an abstraction of an individual’s normal daily routine based on automatically-recognized activities. We propose methods to detect changes in behavioral routines by comparing activity curves and use these changes to analyze the possibility of changes in cognitive or physical health. We demonstrate our model and evaluate our change detection approach using a longitudinal smart home sensor dataset collected from 18 smart homes with older adult residents. Finally, we demonstrate how big data-based pervasive analytics such as activity curve-based change detection can be used to perform functional health assessment. Our evaluation indicates that correlations do exist between behavior and health changes and that these changes can be automatically detected using smart homes, machine learning, and big data-based pervasive analytics.

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Title: Modeling patterns of activities using activity curves
Creators: Prafulla N Dawadi - School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, United States
Diane J Cook - School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, United States
Maureen Schmitter-Edgecombe - Department of Psychology, Washington State University, Pullman, WA, United States
Publication Details: Pervasive and mobile computing, Vol.28, pp.51-68
Academic Unit: Psychology, Department of; Electrical Engineering and Computer Science, School of
Publisher: Elsevier B.V
Identifiers: 99900547388201842
Language: English
Resource Type: Journal article