Affiliation:
1. SRM Institute of Science and Technology
Abstract
The present pandemic situation has made people not go out anywhere because it’s getting difficult to learn the concepts briefly for both lecturers and students. Concepts are learned through videos, but reading is also an important aspect of learning. This paper talks about providing books and notes in online mode to read and recommend books based on facial expressions captured from the user. This paper aims to extract faces from an image, extract the expression (eyes and lips) from it and also classify them into six types of emotions, which are Happy, Fear, Anger, Surprise, Neutral and Sad. The algorithm used for facial expression recognition is the Convolutional Neural Network algorithm, also known as CNN.
Publisher
Trans Tech Publications Ltd
Reference10 articles.
1. Yingruo Fan, Victor O.K. Li, Jacqueline C.K. Lam. IEEE, and Jacqueline C.K. Lam, Facial Expression Recognition with Deeply-Supervised Attention Network,, in IEEE Transactions on Affective Computing, (2020).
2. Yingjian Li, Guangming Lu, Jinxing Li, Zheng Zhang, David Zhang. Facial Expression Recognition in the Wild Using Multi-level Features and Attention Mechanisms,, in IEEE Transactions on Affective Computing, (2020).
3. Florence, S & Uma, M. Emotional Detection and Music Recommendation System based on User Facial Expression,, IOP Conference Series: Materials Science and Engineering, (2020).
4. Chandra Bhushan Singh , Babu Sarkar , Pushpendra Yadav. Facial Expression Recognition,, (2021).
5. K. Kulkarni.Automatic Recognition of Facial Displays of Unfelt Emotions," in IEEE Transactions on Affective Computing,, (2020).