Real Time Emotion Recognition through Facial Expressions for Desktop Devices
P. M. Chavan1, Manan C. Jadhav2, Jinal B. Mashruwala3, Aditi K. Nehete4, Pooja A. Panjari5

1Prof. P. M. Chavan, Professor, Department of Computer Technology and Information Technology, Veermata Jijabai Technological Institute, Matunga, Mumbai- 400 019, India.
2Mr. Manan C. Jadhav, Student, Department of Computer Technology and Information Technology, Veermata Jijabai Technological Institute, Matunga, Mumbai- 400 019, India.
3Ms. Aditi K. Nehete, Student, Department of Computer Technology and Information Technology, Veermata Jijabai Technological Institute, Matunga, Mumbai- 400 019, India.
4Ms. Jinal B. Mashruwala, Student, Department of Computer Technology and Information Technology, Veermata Jijabai Technological Institute, Matunga, Mumbai- 400 019, India
5Ms. Pooja A. Panjari, Student, Department of Computer Technology and Information Technology, Veermata Jijabai Technological Institute, Matunga, Mumbai- 400 019, India

Manuscript received on May 11, 2013. | Revised Manuscript received on May 15, 2013. | Manuscript published on May 25, 2013. | PP: 104-108 | Volume-1 Issue-7, May 2013. | Retrieval Number:  G0325051713/2013©BEIESP

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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Thepaper states the technique of recognizing emotion using facial expressions is a central element in human interactions. By creating machines that can detect and understand emotion, we can enhance the human computer interaction. In this paper, we discuss a framework for the classification of emotional states, based on still images of the face and the implementation details of a real-time facial feature extraction and emotion recognition application are discussed. The application automatically detects frontal faces from the captured image and codes them with respect to 7 dimensions in real time: neutral, anger, disgust, fear, joy, sadness, surprise. Most interestingly the outputs of the classifier change smoothly as a function of time, providing a possibly worth representation of code facial expression dynamics in a fully automatic and unnoticeable manner. The main objective of the paper is the real-time implementation of a facial emotion recognition system. The system has been deployed on a Microsoft’s Windows desktop.
Keywords: Real time, facial expression, emotion recognition.