JOURNAL ARTICLE

Emotion Detection using facial Expressions and speech recognition

G. Harshitha, B. Apurva

Year: 2022 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

The main objective of paper is to detect the human emotion by using face expressions and speech recognition. Emotion recognition plays a crucial role in era of artificial intelligence. It is going to detect the emotion using body movements, Voice , Brain or Heart signals. Four emotions are classified by using these decision level approach and feature level integration those are Happiness, Sadness, Anger, Neutral. These emotions are detected by face marks.

Keywords:
Emotion recognition Facial expression Feature (linguistics) Face (sociological concept) Emotion classification Emotion detection Facial recognition system Voice activity detection

Metrics

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Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.35
Citation Normalized Percentile
Is in top 1%
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Topics

Emotion and Mood Recognition
Social Sciences →  Psychology →  Experimental and Cognitive Psychology
Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Face recognition and analysis
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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