Facial Emotional Expression Regulation to Control the Semi-Autonomous Vehicle Driving

Autonomous vehicular technology has reduced the road casualties by detection of human emotions. This paper describes the role and function of facial expressions in human-computer interaction for the semi-autonomous vehicle. Numerous works of literature are available and studied regarding the driver's behavioral and emotional influences that regulate the state of mind. In order to accomplish control of the intelligent vehicle, this literature introduces a cloud model as a theoretical framework to implicate and analyze various facial expressions to regulate the driving. Recent vehicle interiors have contactless exposure of driver states, concreting the path for promoting the safe driver and passenger behavior through emotion regulation. The current research paper concludes the challenges for cognitive interaction to reveal the technological barriers and procedural deliberations, as well as prospective to improve road safety by recalling driver and passenger into an emotionally balanced state. Cloud modeling analysis foresees the virtuous monitoring possessions, it also validates a series of mental activities such as feeling, cognition, decision and so on are ambiguous and uncertain which will inturn to control the intelligent vehicular driving.