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2015•International journal of advance research and innovative ideas in educationRequires access

A literature review on emotion recognition system using various facial expression

Dipika raval, Mukesh Sakle

Open publisher page 6 citations

Abstract

Recognition and extracting various emotions and then validating those emotions from the facial expressions has become important for improving the overall human computer interaction. So this paper also describe about Emotion Recognition Techniques. Emotion Recognition has become a progressive research area and it plays a major role in Human-Computer-Interaction. For any Facial Expression Recognition, it is necessary to extract the features of face that can be possibly used to detect the expression. For Feature Extraction the Principal Component Analysis will be used. A survey of various techniques used in emotion recognition like PCA, LBP etc. is done in this paper and listing their performance. The goal of this paper is to show the comparison with Other Recognition Techniques with different approaches. And also describe the general step of the how to recognize emotion from various facial expression

About this research paper

What this paper is about

Recognition and extracting various emotions and then validating those emotions from the facial expressions has become important for improving the overall human computer interaction. So this paper also describe about Emotion Recognition Techniques. Emotion Recognition has become a progressive research area and it plays a major role in Human-Computer-Interaction. For any Facial Expression Recognition, it is necessary to extract the features of face that can be possibly used to detect the expression. For Feature Extraction the Principal Component Analysis will be used. A survey of various techniques used in emotion recognition like PCA, LBP etc. is done in this paper and listing their performance. The goal of this paper is to show the comparison with Other Recognition Techniques with different approaches. And also describe the general step of the how to recognize emotion from various facial expression

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Recognition and extracting various emotions and then validating those emotions from the facial expressions has become important for improving the overall human computer interaction. So this paper also describe about Emotion Recognition Techniques. Emotion Recognition has become a progressive research area and it plays a major role in Human-Computer-Interaction. For any Facial Expression Recognition, it is necessary to extract the features of face that can be possibly used to detect the expression. For Feature Extraction the Principal Component Analysis will be used. A survey of various techniques used in emotion recognition like PCA, LBP etc. is done in this paper and listing their performance. The goal of this paper is to show the comparison with Other Recognition Techniques with different approaches. And also describe the general step of the how to recognize emotion from various facial expression

Key concepts: Facial expression, Computer science, Facial recognition system, Emotion recognition, Feature extraction, Expression (computer science), Principal component analysis, Pattern recognition (psychology)

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