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A Study of Emotion Recognition for Constructive Learning using Robots

by Veena Vijayan V
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 20
Year of Publication: 2014
Authors: Veena Vijayan V
10.5120/16713-6871

Veena Vijayan V . A Study of Emotion Recognition for Constructive Learning using Robots. International Journal of Computer Applications. 95, 20 ( June 2014), 39-43. DOI=10.5120/16713-6871

@article{ 10.5120/16713-6871,
author = { Veena Vijayan V },
title = { A Study of Emotion Recognition for Constructive Learning using Robots },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 20 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 39-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number20/16713-6871/ },
doi = { 10.5120/16713-6871 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:19:59.261014+05:30
%A Veena Vijayan V
%T A Study of Emotion Recognition for Constructive Learning using Robots
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 20
%P 39-43
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The robot starts to play a prominent role in the modern world. They can be used in different areas like house hold activities, markets, military purposes, medical fields and schools. The main aim of this paper is to focus the use of robot in the educational field. Better feedback will be obtained through efficient human robot interactions. Human robot interaction defines the ability of the robot to interact efficiently with humans. The robot should monitor the student and analyze the emotions dynamically. The main aim is to maintain a healthy learning rate after recognizing the positive emotions. Real time face tracking and feature extraction is applied to recognize the emotional state of the student.

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Index Terms

Computer Science
Information Sciences

Keywords

Face tracking Action units Bezier volume Real time recognition.

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