Neural Network based Recognition of an Emotion using PCA of Leg Postures of a Human Being
| Author(s) | : | Dr. Mukesh Patel |
| Institution | : | Department of Mathematics, Uka Tarsadia University, Bardoli |
| Published In | : | Vol. 5, Issue 4 — April 2018 |
| Page No. | : | 34-41 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
This paper presents the recognition of an emotion of a human being based on Leg Postures created by anindividual 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 techniquesand 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 byPrinciple Component Analysis (PCA).
Dr. Mukesh Patel, “Neural Network based Recognition of an Emotion using PCA of Leg Postures of a Human Being”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 4, pp. 34-41, April 2018.
