An approach for deriving continuous health assessment indicators from in-home sensor data

Tamara Hayes, Misha Pavel, Jeffrey Kaye

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

Recently, a number of projects have been undertaken to collect continuous behavioral data from elderly individuals using unobtrusive in-home sensors. An important challenge facing these projects is the development of approaches for interpreting these data. One approach, based on statistical process control, is to model each individual's behavior as a random process whose mean and variance may change over time. The sensor data then provide specific measures of the process that can be used to identify changes in patterns of behavior. The approach is presented and applied to measures of sleep hygiene in a group of 14 community-dwelling elders monitored over a six month period. Both acute and slow changes in the patterns of sleep were successfully identified in individuals using this approach.

Original languageEnglish (US)
Title of host publicationTechnology and Aging. Selected Papers from the 2007 International Conference on Technology and Aging
EditorsAlex Mihailidis, Jennifer Boger, Henry Kautz, Lawrence Normie
Pages130-137
Number of pages8
StatePublished - Dec 1 2008

Publication series

NameAssistive Technology Research Series
Volume21
ISSN (Print)1383-813X
ISSN (Electronic)1879-8071

Keywords

  • Aging in place
  • monitoring
  • remote monitoring
  • smart home

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Engineering (miscellaneous)

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    Hayes, T., Pavel, M., & Kaye, J. (2008). An approach for deriving continuous health assessment indicators from in-home sensor data. In A. Mihailidis, J. Boger, H. Kautz, & L. Normie (Eds.), Technology and Aging. Selected Papers from the 2007 International Conference on Technology and Aging (pp. 130-137). (Assistive Technology Research Series; Vol. 21).