Real Time Facial Emotions Detection Using Convolutional Neural Network

Authors

  • Battula Purna Praveen Student, Department of Computer Science and Engineering, SRM University, Mangalagiri, India
  • Asritha Pidikiti Student, Department of Computer Science and Engineering, SRM University, Mangalagiri, India
  • Veda Gayatri Student, Department of Computer Science and Engineering, SRM University, Mangalagiri, India
  • Aparna Gurram Student, Department of Computer Science and Engineering, SRM University, Mangalagiri, India

Keywords:

face detection, feature extraction, emotion classification, CNN

Abstract

Facial emotions or expressions are recognized by computers and enhancing modern-day machines to understand human emotions from their reality time. Through this project, i'd wish to provide solution for real face expressions or emotions by video capture from emotion detector frame by Open-CV it'll capture video by camera which is built-in to the machine or ADPS. The countenance are identified by different operations provided by OpenCV and also the region consisting of parts of the face are made to surround or enclose by a contour. This region, enclosed by the contour is used as an input to the Convolutional Neural Network (CNN). The CNN model created consists of six activation layers, of which four are convolution layers and two are fully controlled layers. The scope of the project is to demonstrate the accuracy and validation of Convolution Neural Network (CNN).

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Published

01-12-2021

Issue

Section

Articles

How to Cite

[1]
B. P. Praveen, A. Pidikiti, V. Gayatri, and A. Gurram, “Real Time Facial Emotions Detection Using Convolutional Neural Network”, IJRESM, vol. 4, no. 11, pp. 155–157, Dec. 2021, Accessed: Dec. 21, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/1553