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TKDE
2011
186views more  TKDE 2011»
12 years 11 months ago
Discovering Activities to Recognize and Track in a Smart Environment
—The machine learning and pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals expe...
Parisa Rashidi, Diane J. Cook, Lawrence B. Holder,...
IHI
2010
143views Healthcare» more  IHI 2010»
12 years 11 months ago
Mining and monitoring patterns of daily routines for assisted living in real world settings
In this paper we demonstrate a fully automated approach for discovering and monitoring patterns of daily activities. Discovering patterns of daily activities and tracking them can...
Parisa Rashidi, Diane J. Cook
CLEAR
2006
Springer
116views Biometrics» more  CLEAR 2006»
13 years 8 months ago
Multi-and Single View Multiperson Tracking for Smart Room Environments
Abstract. Simultaneous tracking of multiple persons in real world environments is an active research field and several approaches have been proposed, based on a variety of features...
Keni Bernardin, Tobias Gehrig, Rainer Stiefelhagen
ECAI
2010
Springer
13 years 5 months ago
Human Activity Recognition in Intelligent Home Environments: An Evolving Approach
In this paper, we propose an automated approach to track and recognize daily activities. Any activity is represented in this research as a sequence of raw sensors data. These seque...
José Antonio Iglesias, Plamen P. Angelov, A...
ICOST
2011
Springer
12 years 8 months ago
Using Association Rule Mining to Discover Temporal Relations of Daily Activities
The increasing aging population has inspired many machine learning researchers to find innovative solutions for assisted living. A problem often encountered in assisted living set...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook