Manuscript Number : CSEIT1726329
Driver Emotional Status Recognition Using Artificial Neural Network
Authors(2) :-Mohan Arava, Prudhvi Ravi Raja Reddy Mallidi Artificial neural network is one of the fascinating area of study, the proposed architecture is performs better feature extraction than earlier proposed Fuzzy logic and SVM algorithms. Day to day the automotive industries are actively supporting research and innovations related to safety issues, performance, and environment. A driver status assessment system constructed in two different modules: one is for driver fatigue detection based on captured images through Digital cameras. The fatigue is a percentage of eyes closure of the best indicator of fatigue for vision systems. And the second one is driver distraction system by using head, facial expressions, and body, a fusion strategy is to deduce the type's driver distractions. Of course many aspects are there but these two fatigue and distraction are only a fraction of all possible drivers' states of their dramatic impact on traffic safety.The standard databases are used for quantitative evaluation of the current state of the art approach using ANN achieves better accuracy then compared to Fuzzy and SVM. The proposed architecture endorses the efficiency and reliable usage of the work for real world applications.
Mohan Arava Artificial Neural Network, SVM Algorithms, Fuzzy Logic, GoogleNet, AAM Publication Details Published in : Volume 2 | Issue 6 | November-December 2017 Article Preview
Assistant Professor, Department of IT, Aditya College of Engineering & Technology, Surampalem, Kakinada, East Godavari, Andhra Pradesh, India
Prudhvi Ravi Raja Reddy Mallidi
Assistant Professor, Department of CSE, Aditya College of Engineering & Technology, Surampalem, Kakinada, East Godavari, Andhra Pradesh, India
Date of Publication : 2017-12-31
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1181-1185
Manuscript Number : CSEIT1726329
Publisher : Technoscience Academy