E-Bliss:Deep Learning for Emotional well-being
Author(s):
Gauri Bhandari, Chaitrali Rokade , Gaurav Kolekar, Prof. Nilesh Mali
Keywords:
Emotion recognition, Facial expression analysis, In-the-wild images, Super-resolution network.
Abstract
In this research project, we focus solely on the utilization of facial pictures for emotion recognition. We propose a comprehensive approach centered on addressing challenges related to in-the-wild (ITW) facial expression recognition. To this end, we introduce a pytorch a deep learning framework, coupled with a other neural networks. Our extensive evaluations on prominent ITW FER datasets demonstrate the efficacy of our proposed method, showcasing its superiority over existing state-of-the-art techniques.
Article Details
Unique Paper ID: 161763

Publication Volume & Issue: Volume 10, Issue 6

Page(s): 66 - 69
Article Preview & Download


Share This Article

Conference Alert

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

Go To Issue



Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews