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Reseach Article

A Survey on Mood Condition Detection and Fatigue Measurement Methodology

Published on November 2011 by Suwarna A. Hajare, Prof. Chhaya S. Dule
2nd National Conference on Information and Communication Technology
Foundation of Computer Science USA
NCICT - Number 6
November 2011
Authors: Suwarna A. Hajare, Prof. Chhaya S. Dule
db0c0ca2-82d6-40ef-b3ab-f058d5ebe1c1

Suwarna A. Hajare, Prof. Chhaya S. Dule . A Survey on Mood Condition Detection and Fatigue Measurement Methodology. 2nd National Conference on Information and Communication Technology. NCICT, 6 (November 2011), 11-13.

@article{
author = { Suwarna A. Hajare, Prof. Chhaya S. Dule },
title = { A Survey on Mood Condition Detection and Fatigue Measurement Methodology },
journal = { 2nd National Conference on Information and Communication Technology },
issue_date = { November 2011 },
volume = { NCICT },
number = { 6 },
month = { November },
year = { 2011 },
issn = 0975-8887,
pages = { 11-13 },
numpages = 3,
url = { /proceedings/ncict/number6/4223-ncict044/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 2nd National Conference on Information and Communication Technology
%A Suwarna A. Hajare
%A Prof. Chhaya S. Dule
%T A Survey on Mood Condition Detection and Fatigue Measurement Methodology
%J 2nd National Conference on Information and Communication Technology
%@ 0975-8887
%V NCICT
%N 6
%P 11-13
%D 2011
%I International Journal of Computer Applications
Abstract

In this paper we present different perspectives of modeling the mood as well as fatigue in any individual. Mood detection and fatigue detection totally based on lot of parameter like facial expression , tone of voice that is speech synthesis, posture, gesture etc. This paper highlights the most expressive way of humans to display emotions and fatigue that is through facial expressions. First methodology describes both basic as well as non basic emotions and second methodology calculates fatigue level of eye.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Mood detection fatigue detection Facial expressions Eye movements