Location of an inhabitant for domotic assistance through fusion of audio and non-visual data

In this paper, a new method to locate a person using multimodal non-visual sensors and microphones in a pervasive environment is presented. The information extracted from sensors is combined using a two-level dynamic network to obtain the location hypotheses. This method was tested within two smart homes using data from experiments involving about 25 participants. The preliminary results show that an accuracy of 90% can be reached using several uncertain sources. The use of implicit localisation sources, such as speech recognition, mainly used in this project for voice command, can improve performances in many cases.