Facial Recognition Techniques and Their Applicability to Student Concentration Assessment: A Survey-Reference-Cited by-同舟云学术

Facial Recognition Techniques and Their Applicability to Student Concentration Assessment: A Survey

Published:2022 Issue: Volume: Page:213-225
ISSN:2194-5357
Container-title:Proceedings of International Conference on Deep Learning, Computing and Intelligence
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Author:

Roy Mukul Lata,Malathi D.,Dorathi Jayaseeli J. D.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-5652-1_18

Reference56 articles.

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4. P. Lucey, J.F. Cohn, T. Kanade, J. Saragih, Z. Ambadar, I. Matthews, The extended Cohn-Kanade dataset (CK+): a complete dataset for action unit and emotion-specified expression, in 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010 (2010), pp. 94–101

5. N. Aifanti, C. Papachristou, A. Delopoulos, The MUG facial expression database, in 11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10 (2010), pp. 1–4

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