Application of EEG Device and BCI for the Brain-controlled Automated Wheelchair (original) (raw)

2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 2021

Abstract

This paper presents the use of EEG and servo motors to assist people with disabilities especially for those suffering immobility from the neck down. More specifically, this study aimed to create an operational motor controller that is able to extract and read brain signals and convert them into usable commands to actuate the wheels of the wheelchair. It aims to develop a system to move the device in different locations with the use of motor speed control. The developed system includes an Emotiv Epoc X headset, which is an electroencephalogram (EEG) based brain-computer interface (BCI), to extract raw EEG signals from the brain. The said device is connected to a computer via a Bluetooth USB dongle. Within the computer, both the user interface used and the Cortex API communicate. Extracted signals are then sent to the algorithm, which is stored in a web server, for classification. The classified signals were then used to control both the speed and direction of the servo motors used.

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