Title :
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
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;
Conference_Titel :
Advance Computing Conference (IACC), 2014 IEEE International
Conference_Location :
Gurgaon
Print_ISBN :
978-1-4799-2571-1
DOI :
10.1109/IAdCC.2014.6779510
