Please use this identifier to cite or link to this item:
https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1684
Title: | Facial Emotion Recognition with a Neural Network Approach |
Authors: | Widanagamaachchi, W.N. |
Issue Date: | 18-Dec-2013 |
Abstract: | Behaviors, actions, poses, facial expressions and speech; these are consid- ered as channels that convey human emotions. Extensive research has being carried out to explore the relationships between these channels and emo- tions. This paper proposes a system which automatically recognizes the emotion represented on a face. Thus a neural network based solution com- bined with image processing is used in classifying the universal emotions: Happiness, Sadness, Anger, Disgust, Surprise and Fear. Colored frontal face images are given as input to the system. After the face is detected, image processing based feature point extraction method is used to extract a set of selected feature points. Finally, a set of values obtained after processing those extracted feature points are given as input to the neural network to recognize the emotion contained. |
URI: | http://hdl.handle.net/123456789/1684 |
Appears in Collections: | SCS Individual Project - Final Thesis (2009) |
Files in This Item:
File | Description | Size | Format | |
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40.pdf Restricted Access | 2.19 MB | Adobe PDF | View/Open Request a copy |
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