Mood-Based on-Line Learning System
R. Sudha Kishore1, A. Sudarsan Reddy2, R.Chittibabu3
1Mr. R. Sudha Kishore, Associate Professor, Department of IT, VVIT, Nambur, Guntur (Andhra Pradesh), India.
2Mr. A. Sudarsan Reddy, Professor, Department of IT, VVIT, Nambur, Guntur (Andhra Pradesh), India.
3Mr. R. Chittibabu, Assistant Professor, Department of CSE, VVIT, Nambur, Guntur (Andhra Pradesh), India.
Manuscript received on 01 November 2019 | Revised Manuscript received on 13 November 2019 | Manuscript Published on 22 November 2019 | PP: 2141-2145 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F14110986S319/19©BEIESP | DOI: 10.35940/ijeat.F1411.0986S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Many millennial learners are associated with massive open on-line courses for learning. This online learning to be more interactive and to substitute the teacher observation, it requires the augmentation of those humanly traits, to keep the learner active. This paper proposes such a sub-system to the online learning environments which performs necessary activities to bring the learner into pace of the course. From the reactions of learner while learning from the continuous capturing of face images, this system can analyze the emotions and initiate the necessary actions to continue the learning. The Emotional Back Propagation Neural Networks with successful PCA were used for training and Genetic Algorithm is used for optimizing the results. The system can automatically identify the facial expressions and initiates the counter actions to keep the learning successful.
Keywords: Facial Emotion Recognition, Human Computer Interaction, Massive Open Online Courses, Emotional Back Propagation Neural Networks, Principle Component Analysis, Genetic Algorithm.
Scope of the Article: Advanced Computer Networking