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Communication Dans Un Congrès Année : 2007

Embedded Implementation of Distress Situation Identification through Sound Analysis

Résumé

The safety of elderly people living alone at home might be a crucial problem because of the growing aging population and the high risk of home accidents such as falls. Medical remote monitoring systems may increase the safety of such people in detecting and quickly announcing the state of emergency. We have already proposed a sound medical remote monitoring system. Distress sounds like glass breaking, screams, falls and distress expressions like "Help", "A doctor, please!" are detected and recognized through a continuous analysis of the sound flow. In the case of distress situation identification, the software can send an alarm with the recognized data to a close person and/or to a medical center. In this paper, a real-time implementation of this system is presented. The advantages of this implementation on an Embedded PC, equipped with a classical sound card and a microphone, are the reduced dimensions, the silence (fan less) and the cost. In the same time, this implementation is flexible and can be installed also on desktop or laptop PC.
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Dates et versions

hal-00957417 , version 1 (10-03-2014)

Identifiants

  • HAL Id : hal-00957417 , version 1

Citer

Dan Istrate, Michel Vacher, Jean-François Serignat. Embedded Implementation of Distress Situation Identification through Sound Analysis. 5th ICICTH Samos: International Conference on Information Communication Technologies in Health, Jul 2007, Samos Island, Greece. pp.226-231. ⟨hal-00957417⟩
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