Human Facial Expression Recognition System design : An Advanced Artificial Intelligence Model

This research topic is related to "Artificial Intelligence, Biomedical Image Processing, Image processing". Mtech and PhD Research Scholars can have an idea from this video, that which recent technologies are available for their thesis or dissertations.

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With the advancement in the field of image processing and cameras, human facial expression recognition (FER) has become an important research area. Facial expressions serve as mean for communicating and depicting human emotion and moods. Due to which recognition of human emotions has become the main subject in the field of research. In order to achieve the precise emotion detection mechanism, numerous techniques and tactics are applied. The key techniques that can be used to increase the accuracy and that the emotion recognition system error rate are the approaches such as classification, feature extraction, fusion, etc. This research aims at creating an emotion recognition method using the hybrid of Haar & FLDA feature extraction algorithms, image fusion, using Artificial intelligent classifiers ANN and SVM. In simulation purposes, a MATLAB simulation method is used and the proposed work is tested using three separate datasets The ability of the proposed technique is measured in terms of accuracy.
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