Mood Detection based on Facial Expressions

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2017 by IJETT Journal
Volume-48 Number-4
Year of Publication : 2017
Authors : Mrs. Ashwini Pansare, Mrs. Monali Shetty


Mrs. Ashwini Pansare, Mrs. Monali Shetty "Mood Detection based on Facial Expressions", International Journal of Engineering Trends and Technology (IJETT), V48(4),200-204 June 2017. ISSN:2231-5381. published by seventh sense research group

Emotions have an extremely important role in human lives. They determine how humans think, behave and communicate with others and are the only thing which separates us from machines. tone of voice, Gestures, body posture, etc. all express some kind of information about human emotions but the facial features and expressions are one which expresses human emotions clearly and accurately during daily communication. There are many situations in real world where human and computer needs to interact with each other. The interaction between humans and computers will become more natural if computers can perceive and respond to non verbal communication of humans. Therefore there exist need of machines which are able to identify human mood so that a communication bridge can be established between humans and machines and a better interaction will be facilitated. This paper proposes a system using Pulse Coupled Neural Network (PCNN) for detecting facial features which are responsible for portraying the facial expression. This information is then passed to a trained Convolution Neural Network (CNN) which is responsible for the classification of expressions in six categories as happy, sad, neutral, fear, angry and surprised.


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Human machine interaction, Emotions, PCNN, Facial expression.