The advent of modern communications and the low cost of some kinds of devices have resulted in a desire to equip elderly peoples' homes with sensors to monitor their activities and be forewarned of abnormal situations. In such an environment, sound may represent a rich source of information that can be exploited and this is considered as one of the most ergonomic and least intrusive solutions. However, this solution is often adversely affected by noise that is to say, mostly sounds of a type not taken into account in the creation of this system. Several methods were used to make it possible to classify sounds. In this work we tested Support Vector Machines to classify sounds in a domotic environment