Integration of BCI and Eye Gaze Tracker to Control Mouse
- Dr. C. H. Vithalani, Government Engineering College, Rajkot, Gujarat, India
- H. M. Mehta, B. H. Gardi College of Engineering and Technology, Rajkot, Gujarat, India, firstname.lastname@example.org
- Prof. M. P. Patel, B. H. Gardi College of Engineering and Technology, Rajkot, Gujarat, India
This paper represents how EEG based BCI module can be used with HCI devices for the physically disabled people to interact with the surrounding world. EEG is one of the imaging technology which records electrical activity spontaneously generated from the brain. Owing to the less accuracy of this cheaper and affordable BCI module, it cannot be used where many control signals are required to operate any device. In this paper, Neurosky’s Brainwave starter kit has been used as a BCI module which has a mono channel sensor to acquire the brain signals. To increase the ability of such BCI module, Eye Gaze Tracker (Human Computer Interface) has been attached with it. By merging these two techniques, windows software of mouse controller is developed using Python language and OpenCV as a third party module. This python program file can also be used in other operating systems such as Linux, OSX etc. This software can be extremely useful to ALS (Amyotrophic Lateral Sclerosis) patients, paralyzed people, who are lacking any kind of muscular movement to control any devices.