Automated recognition of human daily activities is very important for human-robot interaction (HRI) in assisted living systems. We propose a Bayesian framework to integrate motion sensor observations and the location information from a vision system for human daily activity recognition. Two problems are studied in this paper: enhancing activity recognition through the fusion of two channels of information and learning the environment through the activity distribution map. The entropy associated

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... with human activity recognition is adopted as an evaluation metric in both problems. The simulation results demonstrate the feasibility of the proposed methods. Index Terms-Activity recognition, wearable computing, Bayesian framework. 978-1-4244-9721-8/10/$26.00