|Ecole Supérieure d’Ingénieurs en Informatique et Génie des Télécommunications|| |
|Responsible Person: Dan Istrate |
|Role/Responsibilities: Contributions in Smart Home Technologies, Leader of T3.2.3. and T4.1.6. |
ESIGETEL is an Engineering School specialized in Informatics, Telecommunications and Embedded Systems situated at Fontainebleau, France. In this school there are two research laboratories: One dedicated to Distributed Objects and Real Time Optimization (IDTR) and another one, RMSE – Mobile networks and Embedded Systems which has three main research axis: Sound processing on embedded devices, Multimodal biometrics and RFID/Contactless Smart Card. Our team, a part of RMSE laboratory, is composed by 2 Associate Professors and a PhD Student supervised in collaboration with GET-INT and INSERM. The ESIGETEL has experience in medical remote monitoring for elderly people at home through sound analysis. We have developed an abnormal smart sound sensor which analyzes the environmental sound flow in order to detect either an everyday life sound or a distress sentence. Currently recognized sounds are: glass breaking, object falls, screams, door slap and in the speech segment we search only distress keywords like: help, a doctor please. In order to preserve privacy the sound is not continuously recorded just analyzed. If a distress situation is identified, then the sound is recorded and an alarm is send to the remote monitoring center. The second part of ESIGETEL background is the design and implementation of a Multimodal platform with GET-INT and INSERM. This platform allows detecting a distress situation by running synchronously three modalities: Physiological parameters and Fall detection named RFPAT (GET-INT), infrared sensors named GARDIEN (INSERM) and smart sound sensor ANASON (ESIGETEL). Using this platform we have start to record a multimodal data base.