SLUMBER DETECTION OF VISUAL ACTIVITY USING ARM 9

Abstract

Slumber detection is to implement the driver attentiveness in cars. The project is to monitor the driver’s eye movement by using webcam and EOG channel respectively.Embedded project is to design and develop a low cost feature which is based on embedded platform for finding the driver drowsiness. Specifically, Embedded System includes a webcam placed on the steering column which is capable to capture the eye movements and EOG placed at the forehead of the Driver to find out the visual activity. If the driver is not paying attention on the road ahead and a dangerous situation is detected, the system will warn the driver by giving the warning sounds and also control the vehicle slowly by applying the break with required time delay.

Authors and Affiliations

R. Lakshmikanth, R. Raja Kishore, K. Satyavathi

Keywords

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  • EP ID EP27663
  • DOI -
  • Views 258
  • Downloads 4

How To Cite

R. Lakshmikanth, R. Raja Kishore, K. Satyavathi (2013). SLUMBER DETECTION OF VISUAL ACTIVITY USING ARM 9. International Journal of Research in Computer and Communication Technology, 2(9), -. https://europub.co.uk/articles/-A-27663