Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/61135
Title: EEG based assisted driving system
Authors: Liu, Yanling
Keywords: DRNTU::Engineering
Issue Date: 2014
Abstract: The EEG technologies have further developments in recent years. The use of EEG is not limited to traditional clinic uses. EEG-based applications become popular topics for the researchers and developers. This project develops an EEG-based assisted driving system to achieve using brainwave to control a car. It is an innovation for modern cars. The system translates subject’s brainwave to control commands of turning left, turning right, moving forward and moving reverse. It uses smooth to preprocess the signal, four methods including Sample Entropy, Power Spectrum Density, Spectrogram, and Continuous Wavelet Transform to extract EEG features, and Extreme Learning Machine to classify these features. The system achieves an accuracy of 0.9691 with an online dataset and its success is verified with EEG signals collected by the author via Emotiv.
URI: http://hdl.handle.net/10356/61135
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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