Hand Gesture Recognition Control for Infotainment System

In day-to-day life, the accidents occurring while driving an automobile is based on either human error or mechanical error. These human errors may occur due to control issues on the steering wheel, and the control of infotainment during driving on the parallel action. According to research conducted by the AAA Foundation, the cause for the distraction of drivers for more than forty seconds is controlling the infotainment system. While taking your eyes off the view road for two seconds could increase your chances of getting into the chance of an accident, taking forty seconds to control your entertainment system is exceedingly unsafe and poses a significant risk to both the driver as well as the other road users. To avoid such mishaps, a technique for managing infotainment equipment with hand gestures should be developed. There are multiple ways to control or access the Infotainment system and Entertainment system in Automobiles. Giving inputs through touch panels, buttons, and voice commands is one of those ways. Deep Learning algorithms should be developed to detect hand gestures and actuation based on gesture recognition. A novel approach of giving inputs to the infotainment system through hand gestures is introduced in this work. The system will recognize the hand gesture and actuate the devices in the infotainment system based on the gesture recognized. The hand gesture recognition system and infotainment system should be integrated in order to actuate the devices in the infotainment system by giving hand gestures as input. With the help of hand gesture recognition in infotainment control, the problem of distraction while driving infotainment will reduce.