Anger Detection from Emotional Body Movements

Authors

  • V. Abinaya  Department of CSE, Annamalai University, Tamil Nadu, Chidambaram, India
  • Dr. M. Kalaiselvi Geetha  Associate Professor, Department of CSE, Annamalai University, Tamil Nadu, Chidambaram, India
  • R. Santhoshkumar  PhD Scholar, Department of CSE, Annamalai University, Tamil Nadu, Chidambaram, India

Keywords:

Emotion Recognition, suspicious activity, anger detection, BLOB , K-Nearest Neighbours (KNN).

Abstract

Recognizing emotions from human full body activity is attracting the researchers in recent days due to its potential applications. Detecting the suspicious activity and thereby preventing any terrorism focuses on emotion recognition. This work aims to detect emotions from actions particularly distinguishing anger from other emotions in video. In this work, the feature is extracted using BLOB feature extraction[16].The BLOB features include area, shape and luminance are defined. Then the extracted feature is fed through K-Nearest Neighbours (KNN) classifier to get the accuracy percentage of recognized emotion.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
V. Abinaya, Dr. M. Kalaiselvi Geetha, R. Santhoshkumar, " Anger Detection from Emotional Body Movements, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1553-1562, March-April-2018.