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Unobtrusive Academic Emotion Recognition Based on Facial Expression Using RGB-D Camera Using Adaptive-Network-Based Fuzzy Inference System (ANFIS)

Unobtrusive Academic Emotion Recognition Based on Facial Expression Using RGB-D Camera Using Adaptive-Network-Based Fuzzy Inference System (ANFIS)

James Purnama, Riri Fitri Sari
Copyright: © 2019 |Volume: 11 |Issue: 1 |Pages: 15
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781522565567|DOI: 10.4018/IJSSCI.2019010101
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MLA

Purnama, James, and Riri Fitri Sari. "Unobtrusive Academic Emotion Recognition Based on Facial Expression Using RGB-D Camera Using Adaptive-Network-Based Fuzzy Inference System (ANFIS)." IJSSCI vol.11, no.1 2019: pp.1-15. http://doi.org/10.4018/IJSSCI.2019010101

APA

Purnama, J. & Sari, R. F. (2019). Unobtrusive Academic Emotion Recognition Based on Facial Expression Using RGB-D Camera Using Adaptive-Network-Based Fuzzy Inference System (ANFIS). International Journal of Software Science and Computational Intelligence (IJSSCI), 11(1), 1-15. http://doi.org/10.4018/IJSSCI.2019010101

Chicago

Purnama, James, and Riri Fitri Sari. "Unobtrusive Academic Emotion Recognition Based on Facial Expression Using RGB-D Camera Using Adaptive-Network-Based Fuzzy Inference System (ANFIS)," International Journal of Software Science and Computational Intelligence (IJSSCI) 11, no.1: 1-15. http://doi.org/10.4018/IJSSCI.2019010101

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Abstract

Quality of learning in the classroom is influenced by many factors. One of them is the academic emotions of the students. The emotion detection in the classroom cannot be done by using sensors attached to the body of the students, because it would disturb the concentration of the students. The proposed solution is by using unobtrusive emotion detection, e.g. by placing video capture equipment, which is not visible at the front of the student's desk. In this study, an RGB - Depth Microsoft Kinect camera is used to record facial expressions by considering the convenience factor of the students, speed of response time, and cost efficiency. A combination of Cohn-Kanade dataset and EURECOM dataset is used as the training set in machine learning with Adaptive-Network-Based Fuzzy Inference System (ANFIS) algorithm, with 8 sample of Asian race students (4 male and 4 female students).

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