Implementation of an automatic sound recognition system for activity daily living

In the framework of a collaboration between eBioMed chair of UTC-BMBI lab and Ubilab from Waterloo University, an automatic sound recognition system for activity daily living identification will be implemented on a Raspberry Pi card. This algorithm is able to analyse continuously the sound environment and to recognize distress sounds and was already proposed on a PC implementation. The first objective of the project is to transfer the algorithm on the limited resources of the embedded card. The system will be evaluated first, in our Living Lab and in a second step by our partner Senio@dom, in real conditions at home.

Faculty Supervisor:

Plinio Pelegrini Morita

Student:

Partner:

Université de Technologie de Compiègne

Discipline:

Engineering

Sector:

Education

University:

University of Waterloo

Program: