EEG Based Drowsiness Detection Using Mobile Device for Intelligent Vehicular System
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2013 by IJETT Journal|
|Year of Publication : 2013|
|Authors : Prof.Deepa.T.P. , Prof. Vandana Reddy|
Prof.Deepa.T.P. , Prof. Vandana Reddy. "EEG Based Drowsiness Detection Using Mobile Device for Intelligent Vehicular System". International Journal of Engineering Trends and Technology (IJETT). V6(1):21-24 Dec 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Drowsiness of driver is one of the causes for accidents. Here is proposal for drowsiness detection and alert using mobile phones. In this system driver has to wear USB EEG headset which is connected to mobile device. EEG will capture live brain signals and send to mobile device. Mobile device has a application installed in it which classifies these live signals and capture sleep /drowsiness related signals. Also, if mobile device finds a drowsiness signals it will activate alert in it this enables the driver to wake up or be alert. This proposal involves development of mobile application which classifies the live sleep signals from brain and activates the alert in it
 Shah Aqueel Ahmed1, Syed Abdul Sattar2, D. Elizabath Rani3, “Separation Of ? , ?, ?& ?Activities In EEG To Measure The Depth Of Sleep And Mental Status”, International Journal of Engineering Trends and Technology (IJETT) Volume 4 Issue 10 Oct 2013,ISSN: 2231- 5381 Page 4618
 Ms. Pranjali Deshmukh, Mr. S. B. Somani, Ms. Shivangi Mishra, Mr. Daman Soni, “EEG based drowsiness estimation using mahalanobis distance”, ISSN: 2277 – 9043 International Journal of Advanced Research in Computer Science and Electronics Engineering Volume 1, Issue 6, August 2012
 G.Rajendra Kumar1 ,Dr.Samuel Vara Prasada Raju2, D. Santhosh Kumar3 ,I.T Dept., C.S.E Dept., Eng. Physics Dept, , K L University, Andhra University, VCEW Vijayawada,Visakhapatnam, Bargarh, India,” classification of eeg signals for drowsiness Detection in brain and computer interface” GESJ: Computer Science and Telecommunications 2012|No.4(36) ISSN 1512-1232
 B.jothiranjhani ,m.e(est), Annai Mathammal Sheela Engineering College, “wireless brain computer interface system for drowsiness detection” International Journal of Communications and Engineering, Volume 05–No.5,Issue: 02 March2012, Page 86
 A. Eskandarian and A. Mortazavi, ?Evaluation of a smart algorithm for commercial vehicle driver drowsiness detection?, in Proc. IEEE Intelligent Vehicles Symp.,pp.553-559,2007.
 T. Hong and H. Qin, ?Drowsiness detection in embedded system?, in Proc. IEEE Int. Conf. Vehicular Electronics and Safety, pp 1-5,2007.
 J. Qiang, Z. Zhiwei, and P. Lan, ?Real-time nonintrusive monitoring and prediction of driver fatigue,? IEEE Trans. Vehic. Technol., vol. 53, no. 4, pp. 1052–1068, Jul. 2004.
 Desney S. Tan and Anton Nijholt, ?Brain Computer Interfaces Applying our Minds to Human Computer Interaction Human Computer Interaction Series?.
 Saeid Sanei and J.A.Chambers, ?EEG Signal Processing?.
 A. Rechtschaffen and A. Kales, A manual of standardized terminology, techniques and scoring system for sleep of human subjects, U.S. Public health service, U.S. Government printing office, Washington D.C. 1968. Fernando lopes da Silva, “EEG analysis: theory and practice”
 R S Khandpur, “biomedical instrumentation and measurement”
 Haroid J Kaplan, “comprehensive textbook of psychiatry- III”
 John r Glover, Periklis Y Kotonas and Narasimhan Raghaavan “a multichannel signal processor for the detection of epileptogenic sharp transients in the EEG”, IEEE transactions on biomedical engineering vol. BME, 33 no. 12, December 1986
 Alison A dingle, Richard D Jones and others “A multistage system to detect epileptiform activity in the EEG”, IEEE transaction on biomedical engineering, vol. 40, no., December 1993
 Johnny R Johnson “introduction to digital signal processing”
 John G Proakis “ digital signal processing”
 “The time domain analysis tool for EEG analysis” by S.Park, J. Smith, IEEE transaction on BME, Vol. 37,august 1997
 “Estimating alertness from the EEG power spectrum” by Magnus Stuismo, T.J. Signowski, IEEE transaction on BME, Vol. 44, No. 1 Jan. 1997
 Seughun park and Jose C principle, “time domain analysis tool for EEG analysis”, IEEE transactions on biomedical engineering, vol. 22, no.8, august 1984
 “Introduction to Biomedical Equipment Technology” by Joseph J. Carr & John M.Brown. detection of epileptogenic sharp transients in the EEG”, IEEE transactions on biomedical engineering vol. BME, 33 no. 12, December 1986
EEG, mobile device, sleep