Evidence fusion for activity recognition using the Dempster-Shafer theory of evidence

This paper explores a sensor fusion method within Smart Homes to be used to monitor human activities in addition to managing uncertainty in sensor based readings. A case study has shown that the Dempster-Shafer theory of evidence can incorporate the uncertainty derived from the sensor errors and the sensor context and infer the activity. The results from this work show that this method can detect a toileting activity within a Smart Home environment with an accuracy of 69.4%.