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Unsupervised Activity Recognition using Temporal Data Mining

Authors:
Mohamed Tarik Moutacalli
Abdenour Bouzouane
Bruno Bouchard

Keywords: Activity Recognition; Temporal Data Mining; Temporal Segmentation; Smart Homes

Abstract:
Excellent results have been obtained from data mining techniques in many areas. This article presents one such technique, in the context of activity recognition in a smart home. We use sequential pattern mining to analyze the history of information transmitted by the sensors, discovering thereby the frequent activities of the home occupant. Then each of the activities is temporally segmented, in order to facilitate the recognition of activities already started or even ones that are about to start. Our tests revealed that this segmentation diminished the activity search time by more than 70%, and helped predict some activities before detecting any action.

Pages: 15 to 20

Copyright: Copyright (c) IARIA, 2012

Publication date: May 27, 2012

Published in: conference

ISSN: 2308-3727

ISBN: 978-1-61208-225-7

Location: Stuttgart, Germany

Dates: from May 27, 2012 to June 1, 2012