A Survey on Drowsy Detection Technology

February 2017
Vol-3, Issue-1
Paper ID: 3888
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Drowsy Detection visual based detection physiology based detection vehicle based detection and eye gazing
Abstract
Nowadays we see many of the accident taking place on road and on machines. There are many reason behind these accidents, but major types of accident occurring during night is because of drowsy condition of the driver driving a car and even with worker working on a machine. Drowsiness of the driver and workers may be because of night shift, driving for long distance, medical issue, drunk or it can be any other. To avoid this accident many drowsy detection systems have been developed till date. This article presents several surveys on different approach for detecting drowsy detection.

Author Information

# Name Institute / Affiliation
1 Binita Singh GTU PG SCHOOL
2 Ravi Krishan Pandey Laxmi Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
Singh, Binita & Pandey, Ravi Krishan (2017). A Survey on Drowsy Detection Technology. International Journal of Advance Research and Innovative Ideas In Education, 3(1), 1770-1774.
MLA Style
Singh, Binita, and Ravi Krishan Pandey. "A Survey on Drowsy Detection Technology." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, 2017, pp. 1770-1774.
IEEE Style
Binita Singh and Ravi Krishan Pandey, "A Survey on Drowsy Detection Technology," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, pp. 1770-1774, 2017.
Vancouver Style
Singh Binita, Pandey Ravi Krishan. A Survey on Drowsy Detection Technology. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(1):1770-1774.
Harvard Style
Singh, Binita & Pandey, Ravi Krishan (2017) 'A Survey on Drowsy Detection Technology', International Journal of Advance Research and Innovative Ideas In Education, 3(1), pp. 1770-1774.
Chicago Style
Singh, Binita and Ravi Krishan Pandey. "A Survey on Drowsy Detection Technology." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2017): 1770-1774.
Turabian Style
Singh, Binita and Ravi Krishan Pandey. "A Survey on Drowsy Detection Technology." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2017): 1770-1774.

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