Emotion recognition with a Randomized CNN-multihead-attention hybrid model optimized by evolutionary intelligence algorithm

Emotion recognition with a Randomized CNN-multihead-attention hybrid model optimized by evolutionary intelligence algorithm

Emotion recognition systems are vital for various applications, yet existing models often face limitations in computational efficiency and accuracy, especially when handling complex emotional expressions in sequential data. To address these challenges, we propose an innovative emotion recognition fr...

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Bibliographic Details
Main Authors: Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Filippo Sanfilippo
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Array
Subjects:
Emotion recognition
Randomized Convolutional Neural Networks (RCNN)
Multi-head attention mechanism
Evolutionary optimization
Football Team Training Algorithm (FTTA)
Real-time emotion detection
Online Access:http://www.sciencedirect.com/science/article/pii/S2590005625000281
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