A Weight Factor Algorithm for Activity Recognition Utilizing a Lattice-Based Reasoning Structure

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%.