© 2014 IEEE. A fuzzy controller to support older adults should be robust and respond effectively to real-life situations such as illumination changes, ambient noise, and decision-making in critical situations. Following this approach, this paper presents the general design of 'SA3M', an autonomous support system for older adults that implements facial recognition, voice response and the use of various sensors to prevent or alert dangerous situations (gas leaks, fires, etc.). Furthermore, this paper addresses the problem of automatic microphone sensitivity control (Automatic Gain Control) in the processing of voice commands. To validate the proposed approach, the fuzzy controller was tested with a wide range of ambient noise levels and produced promising results.
|Number of pages||5|
|State||Published - 1 Jan 2014|
|Event||2014 IEEE 16th International Conference on e-Health Networking, Applications and Services, Healthcom 2014 - |
Duration: 1 Jan 2014 → …
|Conference||2014 IEEE 16th International Conference on e-Health Networking, Applications and Services, Healthcom 2014|
|Period||1/01/14 → …|