Various Emotion Detection From Human Face Using Artificial Neural Network (ANN)

  Siya C Sover,  Beena M V

Humans can convey a lot of information through face. Facial expression is a natural and powerful channel for communicating emotions in human computer interaction system. Recognizing the facial expressions is challenging due to the frequent head movements and uncertain facial motion measurements. Current research in facial expression recognition is limited to posed expressions and often in frontal view. People can easily identify emotions from face. Using Computer-based systems the ability to respond to human nonverbal communication has proven to be difficult. This system automatically recognizes the emotions on a face like happy, sad, anger. Face images are given as input to the system. First, detected the face from input image. After the face detection, feature extraction method is used to extract the set of selected feature points. Finally extracted features are given as input to the neural network to recognize the emotions.

Keywords- Neural network,Bezier curve.

Unique Identification Number - IJEDR1503120
Page Number(s) - 1-5
Pubished in - Volume 3 | Issue 3 | September 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Siya C Sover,  Beena M V,   "Various Emotion Detection From Human Face Using Artificial Neural Network (ANN)", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 3, pp.1-5, September 2015, Available at :http://www.ijedr.org/papers/IJEDR1503120.pdf