Driving Alert System through feature extraction on facial images using neural network classifier
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 12
Abstract
Any person driving for a long period of time without taking rest causes them to be weary. This driving alert system alerts the driver from causing accidents. It uses Radial Basis Function neural network (RBFNN) for classifying the drivers’ facial expression. This approach extracts the features from facial characteristics points (FCP) of face images. Nearly,19 FCP are selected from the face image at variable lighting condition .The state of the eye is detected by processing frontal or side views of the face image taken by a camera mounted in the car and then automatically trained using a cross correlation based optical flow method. Forty eight features are extracted from the FCP based on openness and closeness of eye, width of mouth. The input features are then categorized into normal, anger and drowsiness expression. The performance is evaluated in terms of recognition rate of RBFNN classifier.
Authors and Affiliations
V. Ezhilarasi, N. Srinivasan, M. Kavitha
Keywords
Related Articles
- EP ID EP22955
- DOI -
- Views 201
- Downloads 3
An Efficient System to Access Network Using Time Based Scheduling and Automatic Database Creation Using Data Perturbation
With the wide deployment of public cloud computing infrastructures the time constrain based system is required. Using clouds to host data query services has become an appealing solution for the advantages on scalability...
Area and Power Efficient MSIC Test Pattern Generation for BIST
This paper proposes a technique to generate the multiple test patterns varying in single bit position for built-in-selftest (BIST). The conventional test patterns generated using LFSR have an absence of correlation betwe...
An Investigation of Heat Transfer in Vertical Shaft Kiln Process of Cement Manufacture: Part II – Conduction and Radiation
The heat transfer inside the vertical shaft kiln (VSK) for cement manufacture is a complex phenomena involving all the three modes of convection, conduction and radiation heat transfer inside the packed bed moving colum...
Factors Leading To Software Project Failure
This primary aim of this paper is to discern the main reasons why Software Project Failure occurs. Various articles are being considered why projects have been failed and few prime conclusion are made on how such scenar...
Image Enhancement Using Recursive Adaptive Gamma Correction
The “Adaptive Approach for Historical or Degraded Document Binarization” is that in which Libraries and Museums obtain in large gathering of ancient historical documents printed or handwritten in native languages. Typic...