A Vehicle Active Safety Model: Vehicle Speed Control Based on Driver Vigilance Detection Using Wearable EEG and Sparse Representation

A Vehicle Active Safety Model: Vehicle Speed Control Based on Driver Vigilance Detection Using Wearable EEG and Sparse Representation

In this paper, we present a vehicle active safety model for vehicle speed control based on driver vigilance detection using low-cost, comfortable, wearable electroencephalographic (EEG) sensors and sparse representation. The proposed system consists of three main steps, namely wireless wearable EEG...

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Bibliographic Details
Main Authors: Zutao Zhang, Dianyuan Luo, Yagubov Rasim, Yanjun Li, Guanjun Meng, Jian Xu, Chunbai Wang
Format: Article
Language:English
Published: MDPI AG 2016-02-01
Series:Sensors
Subjects:
wearable electroencephalographic
vigilance detection
vehicle active safety
vehicle speed control
sparse representation
brain-computer interface
Online Access:http://www.mdpi.com/1424-8220/16/2/242

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