Affective technology offers exciting opportunities to improve road safety by catering to
human emotions. Modern car interiors enable the contactless detection of user states …

The progress of autonomous driving cars is a difficult movement that causes problems
regarding safety, ethics, social acceptance, and cybersecurity. Currently, the automotive …

To address the limitations of databases in the field of emotion recognition and to cater to the
trend of integrating data from multiple sources, we have established a multi-modal emotional …

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 …

For vehicle safety, the in‐time monitoring of the driver and assessing his/her state is a
demanding issue. Frustration can lead to aggressive driving behaviours, which play a …

Anger impairs a driver's control and risk assessment abilities, heightening traffic accident
risks. Constructing a multimodal dataset during driving tasks is crucial for accurate anger …

Facial emotion recognition (FER) technology in autonomous vehicle drivers can
considerably strengthen the efficiency and safety of the driving experience. The system can …

Driving performance can be significantly impacted when a person experiences intense
emotions behind the wheel. Research shows that emotions such as anger, sadness …

In today's society, the harm of driving anger to traffic safety is increasingly prominent. With
the development of human-computer interaction and intelligent transportation systems, the …

Accurate driver emotion recognition is one of the key challenges in the construction of an
intelligent vehicle safety assistant system. In this paper, we conduct a driving simulator study …