Multichannel smart sound sensor for perceptive spaces
Résumé
Sound based perceptive spaces are usually encountered for friendly man-machine interfaces, but sound informa-tion extraction for perceptive spaces is a complex task be-cause of environmental noise and of multichannel process-ing need. A multichannel smart sound sensor capable to detect and identify sound events in noisy conditions is pre-sented in this paper. The multichannel sound processing al-lows us to localize the sound in the perceptive space and to select appropriate signal for identification procedure. This sensor is real time implemented on PC. The event detec-tion module is carried out for each channel in real time. The classification module is launched in a parallel task on the channel chosen by data fusion process. The aim of this process is to select the channel with the biggest signal to noise ratio when a multiple detection occurs. The valida-tion of smart sensor is made on a test set and is presented with the proposed methodology of evaluation for a medical telemonitoring application. The obtained results are allow-ing us to develop perceptive space applications.
Origine : Fichiers produits par l'(les) auteur(s)
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