Facial identification expression-based attendance monitoring and emotion detection—A deep CNN approach-Reference-Cited by-同舟云学术

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Facial identification expression-based attendance monitoring and emotion detection—A deep CNN approach

Published:2022 Issue: Volume: Page:155-176
ISSN:
Container-title:Machine Learning for Biometrics
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Author:

Sarmah Priyanshu,Das Rupam,Dhamija Sachit,Bilgaiyan Saurabh,Mishra Bhabani Shankar Prasad

Publisher

Elsevier

Reference19 articles.

1. Emotion detection using facial expressions—a review;Rani;Int. J. Adv. Res. Comput. Sci. Softw. Eng.,2014

2. The application and implementation of face recognition in authentication system for distance education;Zhao,2010

3. IBAtS-image-based attendance system: a low-cost solution to record student attendance in a classroom;Budi,2018

4. Allagwail S., Elbkosh A., 2020. Face recognition with symmetrical face training samples based on histograms of oriented gradients. In: Third Conference for Engineering Sciences and Technology (CEST-2020).

5. Comparison of Viola-Jones Haar Cascade classifier and histogram of oriented gradients (HOG) face detection;Rahmad,2020

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1. Music Player Based on Emotion Detection Using CNN;2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon);2022-11-20

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