Dissertation/Thesis Abstract

Autonomous vehicle control using electroencephalography signals extracted from NeuroSky MindWave device
by Anandani, Vijay, M.S., California State University, Long Beach, 2016, 49; 10182137
Abstract (Summary)

The current project presents the hardware implementation and experimental testing of a system that uses electroencephalography (EEG) signals to control the motions of a vehicle through a brain-computer interface device. The user's brain activity is monitored continuously by the NeuroSky MindWave headset, and the EEG signals are processed and provided as inputs to the vehicle control system. The brain functions of interest are the user's attention level, meditation level and ocular blink rate. The values of these signals are transmitted to a microcontroller, which will command the vehicle's motor to initiate motion, stop, or change direction based on the user's brain activity. The current project can find a significant number of applications, since about 17% of the population have disabilities and one million people use wheelchairs, including manually and electrically powered chairs.

Indexing (document details)
Advisor: Chassiakos, Anastasios
Commitee: Demircan, Emel, Tran, Boi
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 56/02M(E), Masters Abstracts International
Subjects: Biomedical engineering, Electrical engineering
Keywords: Electroencephalography, NeuroSky MindWave headset
Publication Number: 10182137
ISBN: 978-1-369-30547-0
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