Weight factor algorithms for activity recognition in lattice-based sensor fusion
KSEM'11 Proceedings of the 5th international conference on Knowledge Science, Engineering and Management
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This paper introduces a new weight factor method for lattice-based evidential fusion for the purposes of activity recognition within smart environments. In calculating the weight factor between the lattice layers, the uncertainty information derived from sensors along with the sensor context has been taken into consideration. According to the experimental results, the proposed weight factor method has the ability to effectively incorporate the uncertainty into the inference process, and subsequently infer complex activities such as a preparing lunch activity with an accuracy of 65.20%.