An Efficient Mouse Tracking System Using Facial Gestures
Annemneedi Lakshmanarao, B. Lokesh, Kilarapu Sarita · 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) · 2022
A large number of human beings influenced with neuro-locomotor handicaps or those incapacitated by injury can't utilize computers/laptops for fundamental assignments like sending or getting messages, perusing the web, watching beloved Television shows or films. Through a past research study, it was presumed that eyes are a fantastic possibility for universal registering since they move in any case during cooperation with processing hardware. Utilizing this hidden data from eye developments could permit taking the utilization of computers back to these type patients. For this reason, we propose an mouse tracking framework which is totally worked by natural eyes as it were. The motivation behind this work is to develop an mouse tracking system that can viably follow eye-developments and empower the client to perform activities planned to explicit eye developments/signals through computer/laptop webcam. The proposed model controls mouse movements through facial gestures.