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This study presents a hybrid framework for emotion recognition from facial images of Tamil and Russian children, utilizing a dataset of 28 Tamil and 64 Russian speaking children. The model combines traditional features like Grey Level Co-occurrence Matrix (GLCM) and facial landmarks with YOLO V5 features, achieving an impressive accuracy of 96% through majority voting ensemble of classifiers. The research highlights the importance of cross-cultural approaches in emotion recognition to avoid bias and improve

Author

benishas

Language

EN