E-Bliss:Deep Learning for Emotional well-being

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

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

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