A spatiotemporal model of human circadian rhythm in smart homes

Muhammad Raisul Alam, Md. Mamun Ibne Reaz, M. A M Ali

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This article presents a spatiotemporal model of human circadian activity rhythm in smart homes. A spatiotemporal model is used to represent human activity in a time-based system. This article proposes a learning and prediction algorithm to analyze temporal characteristics of the resident's activity. The algorithms combined Allen's temporal logic and Gaussian distribution to incrementally learn and predict next activity of the inhabitant. The methods show 88.1% prediction accuracy when tested with a practical smart home data set. Further analysis showed that human activity in smart homes follows Gaussian distribution, which previously had been merely an assumption.

Original languageEnglish
Pages (from-to)788-798
Number of pages11
JournalApplied Artificial Intelligence
Volume25
Issue number9
DOIs
Publication statusPublished - 2011

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Gaussian distribution
Temporal logic

ASJC Scopus subject areas

  • Artificial Intelligence

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A spatiotemporal model of human circadian rhythm in smart homes. / Alam, Muhammad Raisul; Ibne Reaz, Md. Mamun; Ali, M. A M.

In: Applied Artificial Intelligence, Vol. 25, No. 9, 2011, p. 788-798.

Research output: Contribution to journalArticle

Alam, Muhammad Raisul ; Ibne Reaz, Md. Mamun ; Ali, M. A M. / A spatiotemporal model of human circadian rhythm in smart homes. In: Applied Artificial Intelligence. 2011 ; Vol. 25, No. 9. pp. 788-798.
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