Citation: Vincenzo Di Lecce, Alberto Amato, Vincenzo Piuri, Data Fusion for User Presence Identification, in proceedings of International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA) Hong Kong, China, May 11-13, 2009, pp. 242-246, ISBN: 978-1-4244-3820-4
Abstract: Aim of this work is to present a new approach to the problem of user presence monitoring in working environments. Particularly, this work is focused on the evaluation of the presence or absence of a user in front of a terminal. This question is of paramount importance in applications requiring the user’s presence e.g. video surveillance systems, control centrals, etc. The authors propose a technique of data fusion using signals from various low cost sensors.
Keyword: data fusion, signal analysis, fuzzy inference system