Convolution Neural Networking for Emotion Sensing through Facial Expression Recognition and its Application.

Registration ID: IJNRD_191272

Published ID: IJNRD2309132

DOI: http://doi.one/10.1729/Journal.36075

Krupali Trivedi , Yogeshvari Makwana , Prince Patel , Dhruv Patel

CNN, Emotion Recognition, Facial Expression Recognition, FER

This review paper explores Convolutional Neural Networking (CNN) for Emotion Sensing via Facial Expression Recognition (FER). The paper compares traditional FER methods with CNN-based FER methods, and discusses the advantages of CNN in terms of accuracy and speed. Additionally, the paper highlights the various applications of FER in areas such as psychology, human-computer interaction, and healthcare. Overall, this paper provides a comprehensive overview of the current state-of-the-art in CNN-based FER and its potential impact on various industries.

Published Paper   E-Certificate

Krupali Trivedi , Yogeshvari Makwana, Prince Patel, & Dhruv Patel (September-2023). Convolution Neural Networking for Emotion Sensing through Facial Expression Recognition and its Application.. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(9), b287-b293. http://doi.one/10.1729/Journal.36075

Volume 8 Issue 9, September-2023

Pages : b287-b293

Paper Reg. ID: IJNRD_191272

Published Paper Id: IJNRD2309132

Downloads: 000121979

Research Area: Engineering

Country: Ahmedabad, Gujarat, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2309132.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309132

Crossref DOI: http://doi.one/10.1729/Journal.36075

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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