An Emotion Recognition Based Assistant For Vehicles

Abstract

Numerous studies have been conducted on automated vehicles. Additionally, considerable research has been done to increase vehicle safety. The majority of safety-related research done in this field uses hardware and electronic components. Lane keep assistance, parking assistance, and city break assistance are a few instances that can be given. Only a small number of software-related parts are utilized in current automobiles, nevertheless. The primary illustration for this is vehicle assistants. However, current vehicle aides can carry out commands and carry out some specified responsibilities for drivers or passengers. In some aspects, this might be able to lessen driver stickiness and increase driving enjoyment. In contrast to the current vehicle assistants, this proposed assistant represents a fresh method. It can detect drivers' emotions and adjust behavior accordingly. The major goal of this research is to reduce accidents that are caused by driver distraction. Additionally, this suggested helper may recognize emotional states in drivers, such as fatigue, grief, and anger, and act accordingly to keep them focused on the road.