• Aarti Ramdas Aakulwad
• Dr. V. E. Chirchi

The emotions of persons used in the non-verbal communication process. Sentiments are the expressions, emotions, opinions, nature which like or dislike. For successful facial recognition system needs to design robust features and more accuracy. A lot of research work has been done for facial recognition. Facial expression presents key mechanism to describe human emotion. From starting to end of the day human changes plenty of emotions, it may be because of their mental or physical circumstances. Although humans are filled with various emotions, modern psychology defines six basic facial expressions: Happiness, Sadness, Surprise, Fear, Disgust and Anger as universal emotions. A facial muscles movement helps to identify human emotions. Basic facial features are eyebrow, mouth, nose & eyes. The facial recognition, facial expression detection and its classification are the fields where Convolution Neural Network (CNN) plays very important role in the facial detection.The proposed module consisting of the terms Convolution Neural Network (CNNs), Rectified Linear Unit(RELU),pooling layer and fully connected layer. The experiment conducted on the extended Cohn-Kanade dataset (CK+): database gives that our approach is robust in dealing with video-based facial emotion recognition problem under lab-controlled environment. The Deep learning concepts i.e. convolution neural networks have achieved significant success in the area of computer vision including the difficult face recognition problems. The features have been calculated for the face model. The classifications of features were performed using CNN classifier. The network is trained using the standard CK+ database. The features have been calculated for the face model.

Facial Expression Recognition, Convolutional Neural Networks, Computer Vision, CK+ database.

"Facial Emotion Recognition in Video using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.494-504, June 2019, Available :http://www.jetir.org/papers/JETIR1906W65.pdf

"Facial Emotion Recognition in Video using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp494-504, June 2019, Available at : http://www.jetir.org/papers/JETIR1906W65.pdf