Call For Paper Volume:4 Issue:10 Oct'2017 |

Coma Patient Expression Analysis Using Computational Intelligence Techniques

Publication Date : 19/05/2015



Author(s) :

Saranya A, P.G. Student, Department of Computer Engineering , Kavitha M N .


Volume/Issue :
Volume 2
,
Issue 5
(05 - 2015)



Abstract :

This work presents a new architecture for detecting facial changes of coma patient in a hospital Intensive Care Unit. In this research we have considered different facial changes as represented by eyes and mouth movements. The proposed system uses different facial expression images and it consists of three modules. The first module implements database collection which consists of two set images called training and testing images. The next module constructs preprocessing of the images. The third module is about the feature extraction from the training images. From that extracted features the dataset are collected. After the dataset collection  it is  proposed to use classifier techniques. The conditions of the patient were determined based on classifiers such as Euclidean Distance and Artifical Neural Network. All the codes are written in MATLAB software.


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Coma Patient Expression Analysis Using Computational Intelligence Techniques

May 15, 2015