Emotion Recognition System by a Neural Network Based Facial Expression Analysis

Damir Filko · Goran Martinović

42 citations0/0 files storedAutomatika

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Emotion and Mood Recognition Face recognition and analysis Face and Expression Recognition

Abstract

Human-computer interfaces are getting more complex every day with the purpose of easing the use of computers and enhancing the overall user experience. Since research has shown that a majority of human interaction comes from non-verbal communication, user emotion detection is one of the directions that can be taken to enhance the overall user experience. This paper proposes a system for human emotion recognition by analyzing key facial regions using principal component analysis and neural networks. The proposed system has been trained and tested on the FEEDTUM database where it achieved a relatively high average score of correct recognition and therefore showed promise for future development.

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References

2001Emotion recognition in human-computer interaction 2001Knowing what you're feeling and knowing what to do about it: Mapping the relation between emotion differentiation and emotion regulation 2017Communication Without Words 2004Analysis of emotion recognition using facial expressions, speech and multimodal information 2002Recognizing emotion in speech 2011Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space 2004Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals 2019Emotional Intelligence

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2018A novel spontaneous facial expression recognition using dynamically weighted majority voting based ensemble classifier 2013Automatic Emotion Recognition through Facial Expression Analysis in Merged Images Based on an Artificial Neural Network 2017Facial emotion recognition system through machine learning approach

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