Title :
An approach to identify subject specific Human Emotions
Author :
Sarkar, Swagata ; Ranganathan, H.
Author_Institution :
ECE, Sathyabama Univ., Chennai, India
Abstract :
Human Beings are the only living entity on the Earth, whose decisions are guided by their emotions. Human Emotion will vary from situation to situation. Human emotion classification is very much necessary because, now a day, lots of psychological problems are occurring due to over stress and tension of day to day life. Sometimes it is very difficult to identify only single emotion. In this paper it is tried to identify subject specific Human Emotion with the help of Artificial Neural Network (ANN). The standard KDFF database is used for the classification of both Male and Female two different emotions happiness and fear based on their facial expression and face position. Finally it is possible to identify specific emotion for a particular subject with 90% accuracy.
Keywords :
emotion recognition; face recognition; neural nets; pattern classification; psychology; ANN; KDFF database; artificial neural network; face position; facial expression; human beings; human emotion classification; psychological problem; Artificial neural networks; Classification algorithms; Feature extraction; Frequency-domain analysis; Histograms; Standards; Time-domain analysis; Artificial Neural Network; Human Emotion; Standard KDFF Database;
Conference_Titel :
Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2015 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-9854-8
DOI :
10.1109/ICSTM.2015.7225385
