Unobtrusive in-home detection of time spent out-of-home with applications to loneliness and physical activity

Johanna Petersen, Daniel Austin, Jeffrey Kaye, Misha Pavel, Tamara L. Hayes

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

Loneliness is a common condition in elderly associated with severe health consequences including increased mortality, decreased cognitive function, and poor quality of life. Identifying and assisting lonely individuals is therefore increasingly important-especially in the home setting-as the very nature of loneliness often makes it difficult to detect by traditional methods. One critical component in assessing loneliness unobtrusively is to measure time spent out-of-home, as loneliness often presents with decreased physical activity, decreased motor functioning, and a decline in activities of daily living, all of which may cause decrease in the amount of time spent outside the home. Using passive and unobtrusive in-home sensing technologies, we have developed a methodology for detecting time spent out-of-home based on logistic regression. Our approach was both sensitive (0.939) and specific (0.975) in detecting time out-of-home across over 41,000 epochs of data collected from four subjects monitored for at least 30 days each in their own homes. In addition to linking time spent out-of-home to loneliness, (r = -0.44, p = 0.011) as measured by the UCLA Loneliness Index, we demonstrate its usefulness in other applications such as uncovering general behavioral patterns of elderly and exploring the link between time spent out-of-home and physical activity ( r = 0.415, p = 0.031), as measured by the Berkman Social Disengagement Index.

Original languageEnglish (US)
Pages (from-to)1590-1596
Number of pages7
JournalIEEE Journal of Biomedical and Health Informatics
Volume18
Issue number5
DOIs
StatePublished - Sep 1 2014

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Loneliness
Logistics
Health
Exercise
Activities of Daily Living
Cognition
Logistic Models
Quality of Life
Technology
Mortality

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Unobtrusive in-home detection of time spent out-of-home with applications to loneliness and physical activity. / Petersen, Johanna; Austin, Daniel; Kaye, Jeffrey; Pavel, Misha; Hayes, Tamara L.

In: IEEE Journal of Biomedical and Health Informatics, Vol. 18, No. 5, 01.09.2014, p. 1590-1596.

Research output: Contribution to journalArticle

Petersen, Johanna ; Austin, Daniel ; Kaye, Jeffrey ; Pavel, Misha ; Hayes, Tamara L. / Unobtrusive in-home detection of time spent out-of-home with applications to loneliness and physical activity. In: IEEE Journal of Biomedical and Health Informatics. 2014 ; Vol. 18, No. 5. pp. 1590-1596.
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