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Optimization of BCI Navigation: BCI-Controlled Wheelchair Navigation

Presenter: Wafa AlRajhi, MSc Student, Project Supervised by Dr. Manar Hosny & Dr. Areej Al-Wabil.
 
Abstract:
One of the great achievements of technology recently, is that it became possible for a person to control devices using only his/her brain waves. In fact, due to the massive number of people with different kinds of disabilities that prevent them from exercising their daily lives normally, many Brain Computer Interaction (BCI) developers became concerned with making their lives easier. To this end, different devices have been developed to serve people with disabilities and to improve the quality of their lives. Among these devices is a brain controlled wheelchair, which the user can move using his/her brain signals only, hence alleviating the need for any physical movement. Nevertheless, a person with disability may face difficulty in controlling the brain controlled-wheelchair for a long period of time. So,  we propose in this project a brain controlled navigation system that can help the user navigate easily to a desired destination without having to lead the wheelchair throughout the path to the destination. The user will choose a desired destination from a map of the environment using his/her brain signals. Then the system will process the brain signals, determine the required destination, and construct an optimized obstacles-free path to the intended destination. Directions to the destination should then be feedback to the wheelchair which will navigate to the desired destination.
 
Bio: Wafa AlRajhi is a Computer Science Master student at King Saud University's collage of Computer and information Science. A teacher assistant in Computer Science department at Imam University. I am developing my master project which is BCI -Controlled Wheelchair Navigation, supervised by Dr.Areej and Dr.Manar Hosny.
 

Date: May 27, 2013
Time: 12:00 - 12:30 pm
Location: Research Center Auditorium, Building 2, Malaz Campus

Last updated on : January 12, 2023 4:14am