Sound environment analysis for ADL detection from Living Lab to Medical Nursing
Résumé
In this paper we present the application of sound environment analysis algorithms previously developed for ADL recognition on real recordings made in a medical nursing home. Initially the sound algorithms were tested in laboratory, secondly in a living lab in Grenoble and lastly in a nursing home (EHPAD). Several days of audio signal have been recorded, but for the moment only 24h are labelized and used for evaluation. The proposed system is based on a combination of Wavelets Transform, Gaussian Mixture Models (GMM) and Suport Vector Machines (SVM
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