EEG patterns for driving wireless control robot

• Main Authors: Azmy, H., Mat Safri, Norlaili, Che Harun, Fauzan Khairi, Othman, Mohd. Afzan
• Other Authors: Abu Osman, Noor Azuan
• Format: Book Section
• Published: Springer Berlin Heidelberg 2011
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/28995/; https://link.springer.com/chapter/10.1007%2F978-3-642-21729-6_128
• Institution: Universiti Teknologi Malaysia

Electroencephalogram (EEG) study has significant use for disable people since many people with severe motor disabilities require alternative method for communication and control. Normally this people have normal brain function that can be used to control assistive devices. Therefore this study presents preliminary results of EEG pattern for driving wireless control robot. The objective was to obtain optimum scalp location. For each task, EEG signals were recorded from 19 scalp location. Four recorded tasks were investigated and divided into Task1, Task2, Task3 and Control. All tasks were preceded by Control task. Fast Fourier Transform (FFT) was used to analyze the recorded signals. The difference in power between task and control was analyzed. Results showed that P z and P 4 are the best location for Task1, T 4 and P 3 for Task2 and Task3 respectively. All these occurred in delta frequency band.