This paper is published in Volume 3, Issue 2, 2018
Area
Computer Science
Author
J Kanimozhi
Co-authors
R Subramanian
Org/Univ
Pondicherry University, Kalapet, Puducherry, India
Keywords
Head Pose, Eye State, Lane Detection, Alert, Front Camera, Rear Camera, Context Switching, Messaging System.
Citations
IEEE
J Kanimozhi, R Subramanian. A Smart Phone Enabled Behavior Monitoring System for Alerting Distracted Drivers, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARnD.com.
APA
J Kanimozhi, R Subramanian (2018). A Smart Phone Enabled Behavior Monitoring System for Alerting Distracted Drivers. International Journal of Advance Research, Ideas and Innovations in Technology, 3(2) www.IJARnD.com.
MLA
J Kanimozhi, R Subramanian. "A Smart Phone Enabled Behavior Monitoring System for Alerting Distracted Drivers." International Journal of Advance Research, Ideas and Innovations in Technology 3.2 (2018). www.IJARnD.com.
J Kanimozhi, R Subramanian. A Smart Phone Enabled Behavior Monitoring System for Alerting Distracted Drivers, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARnD.com.
APA
J Kanimozhi, R Subramanian (2018). A Smart Phone Enabled Behavior Monitoring System for Alerting Distracted Drivers. International Journal of Advance Research, Ideas and Innovations in Technology, 3(2) www.IJARnD.com.
MLA
J Kanimozhi, R Subramanian. "A Smart Phone Enabled Behavior Monitoring System for Alerting Distracted Drivers." International Journal of Advance Research, Ideas and Innovations in Technology 3.2 (2018). www.IJARnD.com.
Abstract
The objective of A smart phone enabled behavior monitoring system for alerting distracted drivers work is to build a driver monitoring system. Nowadays because of the road accidents every year the death rate keep on increasing and the vehicle production rate is also increasing. So Drive Safe application is developed to alert the drivers for dangerous driving events with respect to driver behavior and road conditions. This system focuses on five of the most commonly occurring dangerous driving events: drowsy driving, inattentive driving, lane weaving and drifting, vehicle detection and messaging system. Driver behavior is monitored with his head pose and eye state using front camera of the mobile. If the driver head pose and eye state conditions are detected not correct means that the driver is drowsy or inattentive. Similarly in the rear camera the dangerous driving condition at the road are detected with respect to lane conditions and vehicles (living being, non-living being) on the road. If he driver driving badly with respect to lanes on the road and if any vehicles coming in front of the vehicle very close it will be detected. For the above system detected dangerous events on any of the camera, the system alerts the driver by displaying an alert icon on the phone’s touch screen along with an audible alert message. To process the video frames from both front and rear camera a context switching algorithm is used. So that the driver will be notices in both the way and alerted for them. A messaging system is also employed to know the urgent and important calls while the driver is driving. A text message saying that the driver is busy is send to the caller who is making more number of calls. So that the driver can know about the urgent and important information’s even while driving.
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