In recent years, the rapid development of sensors and information technology has made it
possible for machines to recognize and analyze human emotions. Emotion recognition is an …

Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …

The driver state monitoring is becoming one of the research hotspots in the field of traffic and
vehicle safety, which can ensure driving safety by monitoring the driver's state. Therefore …

The advent of human emotion data availability signifies a pivotal advancement, propelling
intelligent systems to elevate human-technology interaction. The fusion of emotions with …

Background: Chronic stress responses can lead to physical and behavioural health
problems, often experienced and observed in the care of people with intellectual disabilities …

Machine and deep learning techniques are two branches of artificial intelligence that have
proven very efficient in solving advanced human problems. The automotive industry is …

Featured Application This study will focus on enhancing vehicle design by integrating
advanced multisensory and culturally adaptive emotion modulation systems to meet the …

Purpose This study aims to investigate the effect of driver emotion on the physiological and
vehicle control data and the possibility of predicting the driver emotion to enhance the …

Driver emotion is considered an essential factor associated with driving behaviors and thus
influences traffic safety. Dynamically and accurately recognizing the emotions of drivers …

Monitoring drivers' emotions is the key aspect of designing advanced driver assistance
systems (ADAS) in intelligent vehicles. To ensure safety and track the possibility of vehicles' …