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Original Article
Human Emotion Distribution Learning from Face Images Using CNN
Vighnesh Pujala1
Dr. G. Ravi2
1 Computer Science & Engineering, Malla Reddy College of Engineering and Technology (MRCET), Hyderabad, Telangana, India. 2 Professor, Computer Science & Engineering, Malla Reddy College of Engineering and Technology (MRCET), Hyderabad, Telangana, India.
Published Online: January-April 2026
Pages: 54-60
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260501008
References
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2. M. M. A. Parambil, P. K. Sajeev, V. R. Mandhare, K. Bharti, and S. N. Panda, "Navigating the YOLO Landscape: A Comparative Study of Object Detection Models for Emotion Recognition," in the Proceedings of the Association for Computing Machinery, Inc. as follows: "IEEE Access," vol. 12, pp. 109427-109442, 2024, doi: 10.1109/ACCESS.20
3. M. Muratbekova and P. Shamoi, "Color-Emotion Associations in Art: Fuzzy Approach," in. 2024, vol. 12, pp. 37937-37956, in. 1109/ACCESS.2024.3375361.
4. F. Safavi, V. R. Venkannagari, D. Parikh, and R. K. Vinjamuri, "Deep Fusion of Neurophysiological and Facial Features for Enhanced Emotion Detection," in the Pages of the journal "IEEE Access," vol. 13, pp. 67434-67445, 2025, doi 10.1109/ACCESS.2025.3555934.
5. A. de Leon Langure and M. Zareei, "Evaluating the Effect of Emotion Models on the Generalizability of Text Emotion Detection Systems", IEEE Access vol. 12 pp. 70489-70500, 2024, doi: 10.1109/ACCESS.2024.3401203.
6. A. Amjad, L. - C. Tai, and H. - T. Chang, "Utilizing Enhanced Particle Swarm Optimization for Feature Selection in Gender -Emotion Detection From English Speech Signals," in IEEE Access, vol. 12, pp. 189564 - 189573, 2024, doi: 10.1109/ACCESS.2024.3516790.
7. U. Lakshmi Sowjanya and R. Krithiga, "Decoding student emotions: an advanced CNN approach for behavior analysis application using Uniform Local Binary Pattern," وكانщей IEEE Access, ون (12), pp. 106273-106284, 2024, doi: 10.1109/ACCESS.2024.3436531.
8. X. Feng, C. Liu, and Y. Chen, "Detection of Road Rage in Vehicle Drivers Based on Speech Feature Fusion," IEEE Access, vol. 12, no. 44419, doi: 10.1109/ACCESS.2024.3496652, pp. 174158-174170, 2024.
9. A. de Leon Languré, M. Zareei, Breaking barriers in sentiment analysis and text emotion detection: Towards an unified assessment framework, in Proceed. IEEE Access, vol. 11, pp. 125698-125715, 2023, doi: 10.1109/ACCESS.2023.3331323.
10. X. Zhang, G. Qi, X. Fu, and N. Zhang, "Robust Emotion Recognition Across Diverse Scenes: A Deep Neural Network Approach Integrating Contextual Cues," IEEE Access, vol. 11, pp. 73959\-73970, 2023, doi: 10.1109/ACCESS.2023.3296316.
2. M. M. A. Parambil, P. K. Sajeev, V. R. Mandhare, K. Bharti, and S. N. Panda, "Navigating the YOLO Landscape: A Comparative Study of Object Detection Models for Emotion Recognition," in the Proceedings of the Association for Computing Machinery, Inc. as follows: "IEEE Access," vol. 12, pp. 109427-109442, 2024, doi: 10.1109/ACCESS.20
3. M. Muratbekova and P. Shamoi, "Color-Emotion Associations in Art: Fuzzy Approach," in. 2024, vol. 12, pp. 37937-37956, in. 1109/ACCESS.2024.3375361.
4. F. Safavi, V. R. Venkannagari, D. Parikh, and R. K. Vinjamuri, "Deep Fusion of Neurophysiological and Facial Features for Enhanced Emotion Detection," in the Pages of the journal "IEEE Access," vol. 13, pp. 67434-67445, 2025, doi 10.1109/ACCESS.2025.3555934.
5. A. de Leon Langure and M. Zareei, "Evaluating the Effect of Emotion Models on the Generalizability of Text Emotion Detection Systems", IEEE Access vol. 12 pp. 70489-70500, 2024, doi: 10.1109/ACCESS.2024.3401203.
6. A. Amjad, L. - C. Tai, and H. - T. Chang, "Utilizing Enhanced Particle Swarm Optimization for Feature Selection in Gender -Emotion Detection From English Speech Signals," in IEEE Access, vol. 12, pp. 189564 - 189573, 2024, doi: 10.1109/ACCESS.2024.3516790.
7. U. Lakshmi Sowjanya and R. Krithiga, "Decoding student emotions: an advanced CNN approach for behavior analysis application using Uniform Local Binary Pattern," وكانщей IEEE Access, ون (12), pp. 106273-106284, 2024, doi: 10.1109/ACCESS.2024.3436531.
8. X. Feng, C. Liu, and Y. Chen, "Detection of Road Rage in Vehicle Drivers Based on Speech Feature Fusion," IEEE Access, vol. 12, no. 44419, doi: 10.1109/ACCESS.2024.3496652, pp. 174158-174170, 2024.
9. A. de Leon Languré, M. Zareei, Breaking barriers in sentiment analysis and text emotion detection: Towards an unified assessment framework, in Proceed. IEEE Access, vol. 11, pp. 125698-125715, 2023, doi: 10.1109/ACCESS.2023.3331323.
10. X. Zhang, G. Qi, X. Fu, and N. Zhang, "Robust Emotion Recognition Across Diverse Scenes: A Deep Neural Network Approach Integrating Contextual Cues," IEEE Access, vol. 11, pp. 73959\-73970, 2023, doi: 10.1109/ACCESS.2023.3296316.
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