Analysis of Facial Expressions for Predicting Student’s Learning Level

Authors

  • Vidyadhari S Dept. of Computer Engineering, MPSTME, SVKM’s NMIMS University, Mumbai, India
  • Dhirendra S Mishra Dept. of Computer Engineering, MPSTME, SVKM’s NMIMS University, Mumbai, India

DOI:

https://doi.org/10.26438/ijcse/v8i2.8792

Keywords:

Biometrics, Emotions, Cognitive learning level

Abstract

In today’s scenario, there is an explosion of knowledge and the context of what is learnt and how it is learnt by the students become very important to understand. Student needs to develop their higher order thinking skills which would help them understand and apply concepts in the right manner. This research work specifically focuses on emotion detection of the students by analysing their facial expressions while they are answering a set of questions asked by an instructor for different subjects. The aim is to identify the cognitive learning level of the Bloom’s Taxonomy and map the emotions set to each learning level. This is achieved by capturing the emotions of students from an emotion classifier based on CNN (Convolutional Neural Networks) and further classifying them using various classification algorithms which in turn predicts the Accuracy of the proposed system.

References

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Published

2020-02-28
CITATION
DOI: 10.26438/ijcse/v8i2.8792
Published: 2020-02-28

How to Cite

[1]
V. S and D. S. Mishra, “Analysis of Facial Expressions for Predicting Student’s Learning Level”, Int. J. Comp. Sci. Eng., vol. 8, no. 2, pp. 87–92, Feb. 2020.

Issue

Vol. 8 No. 2 (2020): IJCSE February Edition

Section

Research Article

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