Detecting the location and identity of users is a first step in creating context-aware applications for technologically-endowed environments. We propose a system that makes use of motion detection, person tracking, face identification, feature-based identification, audio-based localization, and audio-based identification modules, fusing information with particle filters to obtain robust localization and identification. The data streams are processed with the help of the generic client-server middleware SmartFlow, resulting in a flexible architecture that runs across different platforms.
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Journal on Multimodal User Interfaces
Biometric Authentication Supporting Invisible Security , Biometric Sensing and Authentication
Signals and Images

Salah, A.A, Morros, R, Luque, J, Segura, C, Hernando, J, Ambekar, O, … Pauwels, E.J.E.M. (2008). Multimodal identification and localization of users in a smart environment. Journal on Multimodal User Interfaces, 2(2), 75–91. doi:10.1007/s12193-008-0008-y