Sensors & Transducers



Vol. 257, Issue 3, May 2022, pp. 30-37





Ayodeji Onipe, Amiel Dominic Gozon, Eric Yang, Ishwar Singh and * Zhen Gao



W Booth School of Engineering Practice and Technology, McMaster University Main St W, L8S 4L8, Hamilton, ON, Canada

E-mail: gaozhen@mcmaster.ca



Received: 18 April 2022 /Accepted: 23 May 2022 /Published: 31 May 2022





Abstract: The purpose of this research is to be able to fully control a robot’s movement from a user’s thought and movement. The OpenBCI (Open Source Brain Computing Interface) is applied that allow for electronic communication from different parts of the human body. In the case of this implementation, the source will be the brain. The acquisition comes in the form of an electroencephalogram or EEG which will output an electric signal from specific nodes touching the brain. These signals come in numeric form which will be used to train a neural network which will be able to distinguish between a user’s thoughts and hand movements.


Keywords: Brain-robot interface, EEG, Artificial intelligence.

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