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Paper Details

Paper Title
Neural Network based Recognition of an Emotion using PCA of Leg Postures of a Human Being
Abstract
This paper presents the recognition of an emotion of a human being based on Leg Postures created by an individual human. Various leg postures related to an emotion are generated by different positions of legs viz. Sitting, Standing and Walking. The image set of all these postures is prepared and analyzed by certain mathematical techniques and image processing tools. Here, the images are classified into basic seven emotions Neutral, Happy, Sad, Fear, Anger, Surprise, and Disgust by Neural Network (NN) which is applied on the eigen features of these images, obtained by Principle Component Analysis (PCA).
KeyWord
Emotion, Leg Postures, PCA, Neural Network, Multi-Layer Feed Forward, Back Propagation.
Others Details
Paper Id : 94017
Author Name : Dr. Mukesh T. Patel
Co-Author Name(s) :
Volume/Issue No : Volume 05 Issue 04
Page No : 34-41
DOI Number : DOI:10.21090/IJAERD.94017
Publication Date : 2018-04-04
License : This work is licensed under a Creative Commons Attribution 4.0 International License.
website : http://www.ijaerd.com/index.php
Impact Factor : 4.72, SJIF-2016
ISSN Details : eISSN: 2348-4470, pISSN:2348-6406