Development of BCI for thought-controlled wheelchair using Arduino

Jahuri, Muhamad Hazim (2024) Development of BCI for thought-controlled wheelchair using Arduino. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

A thought-controlled wheelchair utilising a brain-computer interface (BCI) is a type of wheelchair that can be operated through the use of human brainwaves. Individuals who have severe motor disabilities may encounter difficulties with mobility, especially those who are paralysed. The system is designed to cater to individuals with severe physical disabilities who are unable to operate conventional controls for mobility in a wheelchair. The primary objectives of this project are to conduct a thorough investigation and analysis of the brain-computer interface concerning controls driven by thought. Additionally, the project aims to develop an algorithm of brain signal acquisition from Neurosky Brainwave Mobile 2 device. Finally, the project seeks to design and construct a scaled-down model of a wheelchair that can be controlled by thought. The Neurosky BrainWave Mobile 2 EEG device is employed by the system to acquire brainwave signals that are predicated on beta wave frequencies. The Arduino microcontroller processes the digitised brainwave signals to enable real-time manipulation of the wheelchair's movement. The wheelchair's movement modes, such as forward, stop, left, and right, are chosen through blink detection. In summary, the thought-controlled wheelchair prototype has been successfully developed.

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