An E-Learning System with Multifacial Emotion Recognition Using Supervised Machine Learning
| Autor: | G. Ram Mohana Reddy, G. Raghu, Jijo Jose, Ashwin T S |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Speedup
Local binary patterns business.industry Active learning (machine learning) Computer science Speech recognition Machine learning computer.software_genre Facial recognition system Support vector machine Feature (machine learning) Artificial intelligence business Face detection Affective computing computer |
| Zdroj: | T4E |
| DOI: | 10.1109/t4e.2015.21 |
| Popis: | E-Learning systems based on Affective computingare popularly used for emotional/behavioral analysis of the users. Emotions expressed by the user is depicted by detecting the facialexpression of the user and accordingly the teaching strategies willbe changed. The present eLearning systems mainly focus on thesingle user face detection. Hence, in this paper, we proposemultiuser face detection based eLearning system using supportvector machine based supervised machine learning technique. Experimental results demonstrate that the proposed systemprovides the accuracy of 89% to 100% w.r.t different datasets(LFW, FDDB, and YFD). Further, to improve the speed ofemotional feature processing, we used GPU along with the CPUand thereby achieve a speedup factor of 2. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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