

Author: Li Gang Chung Wan-Young
Publisher: MDPI
E-ISSN: 1424-8220|14|9|17491-17515
ISSN: 1424-8220
Source: Sensors, Vol.14, Iss.9, 2014-09, pp. : 17491-17515
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Related content


Detecting Driver Drowsiness Based on Sensors: A Review
By Sahayadhas Arun Sundaraj Kenneth Murugappan Murugappan
Sensors, Vol. 12, Iss. 12, 2012-12 ,pp. :




Recognizing the Degree of Human Attention Using EEG Signals from Mobile Sensors
By Liu Ning-Han Chiang Cheng-Yu Chu Hsuan-Chin
Sensors, Vol. 13, Iss. 8, 2013-08 ,pp. :

