Empirical Analysis For Recognition Of Facial Expression The State Of The Art

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Empirical Analysis For Recognition Of Facial Expression The State Of The Art

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Abstract

facial expression recognition is limited to six basic expression and several combination.The expression are classified into emotion categories rather than another technique..It is difficult task to show all facial expressions because in everyday life six basic expression occur so frequently.Emotion is often communicated by small changes in one or two facial features,on the other hand the same facial expression may occured in more than one emotions.The presence or absence of one or more facial actions value may change its prediction.One man can show their facial expression in different manner than expressing the same facial expression by other person.The facial features value changes person to person for the same facial expression.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Geeranjali Sharma. 1970. "Empirical Analysis For Recognition Of Facial Expression The State Of The Art". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 7).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST Classification I.4.8
Version of record

v1.2

Issue date
April 4, 2012

Language
English
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Empirical Analysis For Recognition Of Facial Expression The State Of The Art

Dr. Sharma
Dr. Sharma Bharati Vidyapeeth Deemed University College Of Engineering, Pune