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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
  1. Imen Tayari Meftah, Nhan Le Thanh and Chokri Ben Amar, “Towards an Algebraic Modeling of Emotional States”, Fifth International Conference on Internet and Web Applications and Services 2010.
  2. Dr. M. Mohamed Sathik, G.Sofia, “Identification of Student Comprehension Using Forehead Wrinkles”, International Conference on Computer, Communication and Electrical Technology – ICCCET 2011, 18th & 19th March, 2011.
  3. Kwang-Eun Ko, Kwee-Bo Sim, “Development of a Facial Emotion Recognition Method based on combining AAM with DBN”, International Conference on Cyberworlds 2010.
  4. Jinman Kim, Eui Chul Lee” A New Objective Visual Fatigue Measurement System by Using a Remote Infrared Camera”, Eighth International Joint Conference on Computer Science and Software Engineering (JCSSE) 2011
  5. Usman Tariq, Kai-Hsiang Lin,” Emotion Recognition from an Ensemble of Features”.
  6. Yin Liu, Wansen Wang, Dian Liu, Shuai Liu, “The Study of Learners’ Emotional Features in The Elearning System”, Second International Conference on Networks Security, Wireless Communications and Trusted Computing 2010.
  7. Tadas Baltruˇsaitis, Daniel McDuff, Ntombikayise Banda, Marwa Mahmoud, Rana el Kaliouby, Peter Robinson and Rosalind Picard, “Real-time inference of mental states from facial expressions and upper body gestures”, in IEEE International Conf. Automatic Face and Gesture Recognition2011.
  8. Usman Tariq, Kai-Hsiang Lin, Zhen Li, Xi Zhou, Zhaowen Wang, Vuong Le, Thomas S. Huang, Xutao Lv and Tony X. Han “A Bayesian Approach to Recognise Facial Expressions using Vector Flows”, International Conference on Computer Systems and Technologies - CompSysTech’09.
Index Terms

Computer Science
Information Sciences

Keywords

Mood detection fatigue detection Facial expressions Eye movements