Emotion Recognition in Car Industry

Abstract

This chapter presents the most recent advances in emotion recognition, focusing on emotions elicited from the driving task, or those influencing the driver's performance. Emotions influence various cognitive processes in humans, including perception, reasoning, and intuition. Driving behavior adapts based on the complexity of traffic situations and driver risk tolerance, which is influenced by driver motives and emotional state. Recognizing emotions in a vehicle is not an easy task due to specificities of the car: noise, movement, need for minimum distraction of the driver, etc. Advanced image-video processing techniques are often used to extract a driver's facial characteristics. Speech based emotion recognition is useful for adapting driver-car speech based interaction. The chapter focuses on the alerting mechanism and the driver state recognition (DSR) which includes driver's stress and fatigue. Advances in artificial intelligence have provided the means for efficient drivers' state assessment.