Emotion Detection Using Machine Learning Technique

Title

Emotion Detection Using Machine Learning Technique

Creator

Shukla S.; Lucas Y.

Description

Face Emotion Recognition (FER) is an emerging and crucial topic today; since much research has been done in this field, there are still many things to explore. In daily life, where people dont have time to fill out feedback, emotion detection plays an important role, which helps to know customer feedback by analyzing expressions and gestures. Analyzing current studies in emotion recognition demonstrates notable advancements made possible by deep learning. A thorough overview of facial emotion recognition (FER) is provided in this publication. The literature cited in this study is taken from various credible research published in the last 10years. This study has built a model for emotion recognition using photos or a camera. The paper is based on the concepts of Machine Learning (ML), Deep Learning (DL), and Neural Networks (NN). A range of publicly available datasets have been used to evaluate evaluation metrics. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Source

Lecture Notes in Networks and Systems, Vol-922 LNNS, pp. 547-557.

Date

2024-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Deep learning; Facial emotion recognition (FER); Facial expressions; Semi-supervised learning; Traditional classification methods

Coverage

Shukla S., Christ University, Bengaluru, India; Lucas Y., Christ University, Bengaluru, India

Rights

Restricted Access

Relation

ISSN: 23673370; ISBN: 978-981970974-8

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-97-0975-5_48

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197320284&doi=10.1007%2f978-981-97-0975-5_48&partnerID=40&md5=3870fdc5766525f82c1cc7d370dbfc50