The empathetic car: Exploring emotion inference via driver behaviour and traffic context

• Main Authors: LIU, Shu, KOCH, Kevin, ZHOU, Zimu, FOLL, Simon, HE, Xiaoxi, MENKE, Tina, FlEISCH, Elgar, WORTMANN, Felix
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Emotion recognition; Driving behaviours; Traffic contexts; Control area network (CAN); Intelligent vehicle; Operations Research, Systems Engineering and Industrial Engineering; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/6238; https://ink.library.smu.edu.sg/context/sis_research/article/7241/viewcontent/ubicomp21_liu.pdf
• Institution: Singapore Management University

An empathetic car that is capable of reading the driver’s emotions has been envisioned by many car manufacturers. Emotion inference enables in-vehicle applications to improve driver comfort, well-being, and safety. Available emotion inference approaches use physiological, facial, and speech-related...