Posture recognition for safe driving

Recent evolution in Human-Computer Interaction automation grant permission for the integration between the driver´s nature and its causes of accidents. To make an automated driver assistance system, the postures of the driving person have to be analysed and recognized efficiently. In this proposed work an automated driving assistance system is developed based on six different postures i.e Operating the steering wheel, Maintaining the shift lever, Eating during driving, Talking over the mobile, Controlling the Dash Board and Partial sleeping while driving (Drowsiness). In the mentioned six postures, three are considered as safe activities and the other three as unsafe activities. The proposed method starts with the feature extraction from sequence of input images followed by the classification process to recognize the activities. To ensure the effectiveness of the proposed system, an inhouse data set has been created and utilized for analysis. From the experimental results it has been observed that proposed system outperforms to the existing systems in terms of recognition accuracy which is 92.9 %.