A Drowsiness Detection Scheme Based on Fusion of Voice and Vision Cues.

Drowsiness level detection of an individual is very important in many safety critical applications such as driving. There are several invasive and contact based methods such as use of blood biochemical, brain signals etc. which can estimate the level of drowsiness very accurately. However, these methods are very difficult to implement in practical scenarios, as they cause discomfort to the user. This paper presents a combined voice and vision based drowsiness detection system well suited to detect the drowsiness level of an automotive driver. The vision and voice based detection, being non-contact methods, has the advantage of their feasibility of implementation. The authenticity of these methods have been cross-validated using brain signals.