Hands-Free Mouse Control Using Facial Feature

Significant emphasis has been paid to gesture recognition as a natural form of communication, particularly for the elderly and the cognitively handicapped. Due to its numerous applications in virtual reality, the understanding of sign language, and computer games, hand gesture recognition is a key research subject in the science of human-computer interaction (HCI). Lighting, hand motion fluctuations, and textures are a few of the drawbacks of image-based approaches that may reduce the recognition's accuracy. This research investigates the use of camera input data to train models for facial key point identification and Touchless Head-Control (THC) as a touchless method of cursor control to get around these constraints.