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A Comparison of Tools and Libraries for In-Class Face Detection and Emotion Recognition

Human factors, such as emotions, have been demonstrated as influential factors in educational teaching and learning. In order to exploit the relationship between students' in-class emotions and their learning performance, our preliminary work in this paper aims to try and compare different tools and libraries for in-class face detection and emotion recognition. We deliver our findings and insights about the popular libraries for these purposes.