• Shritika Wayker
• Mrs. V. L. Kolhe

Facial emotion recognition is one of the specific issues of computer vision. Emotions which can be classified like fear, happiness, joy, sadness, aggressiveness are recognizable facial expressions using computer vision. We have implemented a systemwhich can perceive four facial expressions are confused, happy, and sad and normal for prediction of movie rating. At the first step of the system, human faces are detected and located in an image. In the second step, eyes and mouth are detected in facial areas.The emotion feature database is used for face and emotion recognition of the person. For detecting face from the input image we are using Viola-Jones face detection algorithm and to evaluate the face and emotion detection KNN classifier is used.

Facial emotion recognition, Viola-Jones face detection algorithm, KNN classifier, Preprocessing, Feature Extraction, Prediction of Movie Rating.

"Movie Rating Predictions Based on Audience Face Expressions using KNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.707-712, June 2019, Available :http://www.jetir.org/papers/JETIR1906N07.pdf

"Movie Rating Predictions Based on Audience Face Expressions using KNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp707-712, June 2019, Available at : http://www.jetir.org/papers/JETIR1906N07.pdf