Real time sound analysis for medical remote monitoring

The increase of aging population in Europe involves more people living alone at home with an increased risk of home accidents or falls. In order to prevent or detect a distress situation in the case of an elderly people living alone, a remote monitoring system based on the sound environment analysis can be used. We have already proposed a system which monitors the sound environment, identifies everyday life sounds and distress expressions in order to participate to an alarm decision. This first system uses a classical sound card on a PC or embedded PC allowing only one channel monitor. In this paper, we propose a new architecture of the remote monitoring system, which relies on a real time multichannel implementation based on an USB acquisition card. This structure allows monitoring eight channels in order to cover all the rooms of an apartment. More than that, the SNR estimation leads currently to the adaptation of the recognition models to environment.