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Research Article |

Eye Drowsiness Tiredness Detection Based on Driver Experience Using Image Mining

Author(s): Stephen Raj. S* and Sripriya. P

Published In : International Journal of Electrical and Electronics Research (IJEER)        volume 9, Issue 1

Publisher : FOREX Publication

Published : 30 March 2021

e-ISSN : 2347-470X

Page(s) : 1-5

DOI: https://doi.org/10.37391/IJEER.090101

Abstract

These techniques introduce eye position state and it is parameter as a feasible means of sleepiness recognition. It has been recommended that an increase of eye sleepy state might indicates sleepiness. Thus this method can be used to caution the driver’s risk if driver drives the vehicle. These suggestion were derived from investigative a example of driver’s in attentive and sleepy situation. The gadget evaluate is base on tracking of the eye retina pupil (circular area) to calculate rate of eye sleepy condition. In this research study, individual change in the path of growing sleepiness from a drivers’ eye retina is examined. Data analysis study is interest on the improvement of a prepared display of sleepiness based on an arrangement of eye white and eye black measure values. This will use very accurate operational indicator of drowsiness. However, the main constraint of measure is that driver’s may not show this eye state until they are purely sleepy and/or weaken.

Keywords: sleep state, eye recognition data, measure driver state.




Stephen Raj. S*, Research Scholar, Department of Computer Applications, Vels University, Chennai, Tamil Nadu, India; Email: chanraj9@gmail.com

Sripriya. P, Associate Professor, Department of Computer Applications, Vels University, Chennai, Tamil Nadu, India

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Stephen Raj. S and Sripriya. P (2021), Eye Drowsiness Tiredness Detection Based on Driver Experience Using Image Mining. IJEER 9(1), 1-5. DOI: 10.37391/IJEER.090101.