• Sainath Vyavhare
• Praful Amrute
• Monali Atram
• Prof. Vijay Rathi

Human emotional facial expressions play an important role in interpersonal relations. This is because humans demonstrate and convey a lot of evident information visually rather than verbally. Although humans recognize facial expressions virtually without effort or delay, reliable expression recognition by machine remains a challenge as of today. To automate the recognition of the emotional state, machines must be taught to understand facial gestures. This paper gives a survey of different techniques for recognizing facial expression. The abstract view of the proposed system is given here for recognizing the emotions with higher accuracy. It helps to detect the face from the input image using Haar-Cascade face detection algorithm and to evaluate the face and Emotion from Students Face using the SVM classifier.

Facial Expression Recognition, Face Detection, SVM Classifier, HAAR Classifier

"Computer-Vision Based Expression Recognition in Classroom", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1702-1706, June-2020, Available :http://www.jetir.org/papers/JETIR2006248.pdf

"Computer-Vision Based Expression Recognition in Classroom", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1702-1706, June-2020, Available at : http://www.jetir.org/papers/JETIR2006248.pdf