Paper Title

Emotions specified Automatic Report Generator for Psychiatrists

Authors

Shivani Dubey , Aniruddha , Pooja Sharma

Keywords

Facial Expressions, Facial Emotion Recognition (FER), Data Visualization, Machine Learning, Emotion Analysis.

Abstract

Human emotions are mental states of feelings that arise spontaneously rather than through conscious effort and are accompanied by physiological changes in facial muscles which imply expressions on the face. Some of the different emotions are happy, sad, anger, disgust, fear, surprise, etc. Facial expressions play a role in non-verbal communication which appears due to the internal feelings of a person that reflects on the face. Humans are completely dependent on non-verbal communication and facial expression is the most important part of it. This paper gives an overview of Facial Emotion Recognition (FER) techniques, datasets [1], and how we create an automatic emotions analysis-based Report using FER. It has been recognized for decades and it is a vital topic in the fields of computer vision and machine learning. This paper is aim to understand the basic principles of FER and Data Visualization and help to understand how Emotions can be analyzed using the Machine learning Techniques specifically about the Open CV and Data Visualization process using matplotlib, the library of python.

How To Cite

"Emotions specified Automatic Report Generator for Psychiatrists", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 2, page no.67 - 71, February-2022, Available :https://ijsdr.org/papers/IJSDR2202010.pdf

Issue

Volume 7 Issue 2, February-2022

Pages : 67 - 71

Other Publication Details

Paper Reg. ID: IJSDR_193952

Published Paper Id: IJSDR2202010

Downloads: 000347172

Research Area: Engineering

Country: Gautam Budha Nagar, Uttar Pradesh, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2202010

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2202010

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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