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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: May 2024

Volume 9 | Issue 5

Impact factor: 8.15

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Paper Title: An Approach to Human Face Expression Recognition Using LDA With Machine Learning Algorithm
Authors Name: Sri. A. Ramakrishna Prasad , I. Sasi kiranmai , P. Tharun kumar , U. Brahma raja , SK. Abdul raqib
Unique Id: IJSDR2304252
Published In: Volume 8 Issue 4, April-2023
Abstract: Facial Expression Recognition (FER) is an important topic in the fields of computer vision and artificial intelligence owing to its significant academic and commercial potential. Although FER can be conducted using multiple sensors, this review focuses on studies that exclusively use facial images, because visual expressions are one of the main information channels in interpersonal communication. This project provides a brief review of researches in the field of FER conducted over the past decades. First, conventional FER approaches are described along with a summary of the representative categories of FER systems and their main algorithms. FER approaches using neural networks enabling “end-to-end” learning are then presented. This work also focuses on an up-to-date hybrid learning approach combining a neural network (NN) for the spatial features of an individual frame and long short-term memory (LSTM) for temporal features of consecutive frames. In the later part of this paper, a brief review of publicly available evaluation metrics is given, and a comparison with benchmark results, which are a standard for a quantitative comparison of FER researches, is described. This review can serve as a brief guidebook to newcomers in the field of FER, providing basic knowledge and a general understanding of the latest state-of-the-art studies, as well as to experienced researchers looking for productive directions for future work.
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Cite Article: "An Approach to Human Face Expression Recognition Using LDA With Machine Learning Algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1589 - 1591, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304252.pdf
Downloads: 000338720
Publication Details: Published Paper ID: IJSDR2304252
Registration ID:205466
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1589 - 1591
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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