Correlating Sensors and Activities in an Intelligent Environment: A Logistic Regression Approach

An important problem in intelligent environments is how the system can identify and model users’ activities. This paper describes a new technique for identifying correlations between sensors and activities in an intelligent environment. Intelligent systems can then use these correlations to recognize the activities in a space. The proposed approach is motivated by the need for distinguishing the critical set of sensors that identifies a specific activity from others that do not. We compare several correlation techniques and show that logistic regression is a suitable solution. Finally, we describe our approach and report preliminary results. Keywords Ambient intelligence, activities, correlation, regression

• Type: Conference
• Year: 2003
• Where: EUSAI
• Authors: Fahd Al-Bin-Ali, Prasad Boddupalli, Nigel Davies, Adrian Friday
• Keywords: Correlations, EUSAI 2003, Important Problem, Intelligent Environment