DETECTION OF COGNITIVE DISTRACTION VIA A DRIER-ADAPTIVE SENSOR FUSION

This paper analyzes effects of performing a cognitive subtask during driving and develops methods to detect cognitive distraction. The results suggest that how to integrate each single variable judgment should be determined depending on to what extent the false alarm rate is allowed. By conducting a discriminant analysis, this paper also suggested that fusion of multiple dimensional sensor data can improve the reliability of the detection of cognitive distraction.