A robust method for automatic emotion detection from face characteristics active shape model meets Support Vector Machines

Author

Sangal, Sugandha ; Bhaumik, A.

Author_Institution

Dept. of Comput. Sci. & Eng., Birla Inst. of Technol., Ranchi, India

fYear

2014

fDate

21-22 Feb. 2014

Firstpage

1270

Lastpage

1274

Abstract

This research is about development of an intelligent system that can detect human emotions by observing the facial characteristics. The problem is addressed employing Active Shape Models (ASM) structured with a Support Vector Machine (SVM) classifier. We define 4 ratios from features in the human face, using FACS Action Units to classify emotions.

Keywords

emotion recognition; face recognition; feature extraction; image classification; object detection; shape recognition; support vector machines; ASM; FACS Action Units; SVM classifier; active shape model; automatic emotion detection; emotion classification; face characteristics; human emotion detection; human face features; intelligent system; support vector machine; Active shape model; Face; Facial features; Feature extraction; Gold; Lips; Support vector machines; Support Vector Machine; human computer interaction; image processing; pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Advance Computing Conference (IACC), 2014 IEEE International

Conference_Location

Gurgaon

Print_ISBN

978-1-4799-2571-1

Type

conf

DOI

10.1109/IAdCC.2014.6779510

Filename

6779510

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=120924