Cursor Control Using electroencephalogram (EEG) Technology

This paper aims to design an electroencephalogram (EEG)-based cursor control system that can control the computer cursor using non-invasive measurements of brain activity. The developed system is a user-friendly system that can be used by the general public, and it will mostly be convenient for people with disabilities. Moreover, the people living with upper limb paralysis will be able to control the cursor using their brain signals only. In order to develop the system, an enhancement of hardware and software was applied. The sensors were used to acquire the brain signals in real-time. These acquired signals were utilized to permit the user to move the cursor using their thoughts. Additionally, the system was able to translate the collected signals and program them into commands to control the cursor. Furthermore, the software is implemented using open-source tools to preprocess raw EEG signals, apply feature extraction, and classification.