Comparative Analysis of Facial Expression Recognition Algorithms
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0975-5_38
Reference18 articles.
1. Silveira SAM, Mishra VP (2022) Development of simulator to recognize the mood using facial emotion detection, In: 2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM), Gautam Buddha Nagar, India, pp 488–490, https://doi.org/10.1109/ICIPTM54933.2022.9754012
2. Kumar M, Srivastava S (2011) Emotion detection through facial expression using deep learning. In: 2021 5th International Conference on Information Systems and Thai Hoang Lee, Applying Artificial Neural Networks for Face Recognition. pp 1–15, https://doi.org/10.1155/2011/673016
3. Maryam Mahmood Hussein, Ammar Hussein Mutlag, Hussain Shareef (2020) An improved artificial neural network design for face recognition utilizing harmony search algorithm. In: IOP Conf. Series: Materials Science and Engineering 745 012038, pp 1–9, https://doi.org/10.1088/1757-899X/745/1/012038
4. Susheel Kumar K, Shitala Prasad, Vijay Bhaskar Semwal, Tripathi RC (2021) Real time face recognition using adaboost improved fast pca algorithm. In: International Journal of Artificial Intelligence & Applications (IJAIA), 2(3) (2011) pp 45–56 Computer Networks (ISCON). Mathura, India 2021:1–4. https://doi.org/10.1109/ISCON52037.2021.9702451
5. Seville Anna Maria Silveria, Ved P Mishra (2022) Development of simulator to recognize the mood using facial emotion detection. In: 2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM), pp 488–490, https://doi.org/10.1109/ICIPTM54933.2022.9754012
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