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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Emotion Recognition and Eye Gaze Estimation System: EREGE
verfasst von : Suzan Anwar, Mariofanna Milanova, Shereen Abdulla, Zvetomira Svetleff
Erschienen in: HCI International 2018 – Posters' Extended Abstracts
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Abstract
In this paper, we proposed EREGE system, EREGE system considers as a face analysis package including face detection, eye detection, eye tracking, emotion recognition, and gaze estimation. EREGE system consists of two parts; facial emotion recognition that recognizes seven emotions such as neutral, happiness, sadness, anger, disgust, fear, and surprise. In the emotion recognition part, we have implemented an Active Shape Model (ASM) tracker which tracks 116 facial landmarks via webcam input. The tracked landmark points are used to extract face expression features. A support Vector machine (SVM) based classifier is implemented which gives rise to robust our system by recognizing seven emotions. The second part of EREGE system is the eye gaze estimation that starts by creating the head model followed by presenting both Active Shape Model (ASM) and Pose from Orthography and Scaling with Iterations (POSIT) algorithms for head tracking and position estimation.