What question did this study set out to answer?

The aim is to develop a web application that recognizes human emotions through facial and vocal inputs using CNNs.

February 22, 2026Open Access

Multimodal Emotion Recognition Using CNNs: A Web-Based Application for Facial and Vocal Analysis

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Demonstrates a web application that detects emotions from facial and vocal cues, indicating its potential for smart environments.

The aim is to develop a web application that recognizes human emotions through facial and vocal inputs using CNNs.
Developed a web-based application for emotion detection
Used Convolutional Neural Networks for analysis
Trained with FER2013 dataset for facial expressions
Utilized RAVDESS database for vocal emotion classification
Extracted audio features using spectrogram analysis and MFCCs
System identified seven core emotions effectively: happiness, sadness, anger, fear, surprise, disgust, and neutral
Promising accuracy observed during preliminary tests under controlled conditions
Real-time emotion classification achieved with user-uploaded media or direct recording

Mestouri et al. (2026) studied this question.

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