Communication Dans Un Congrès Année : 2015

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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hal-01304379 , version 1 (19-04-2016)

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  • HAL Id : hal-01304379 , version 1

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Dan Ovidiu Andrei, Dan Istrate, Jérôme Boudy, Said Mammar. Sound environment analysis for ADL detection from Living Lab to Medical Nursing. AAL 2014 : Active and Assisted Living Forum, Sep 2014, Bucharest, Romania. pp.59 - 65. ⟨hal-01304379⟩
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