شماره ركورد كنفرانس :
3540
عنوان مقاله :
Facial Emotion Recognition Using Gravitational Search Algorithm
Author/Authors :
Fatemeh Shahrabi Farahani Department of Mechatronic Engineering - Islamic Azad University South Tehran Branch, Tehran, Iran , Mansour Sheikhan Department of Electrical Engineering - Islamic Azad University South Tehran Branch, Tehran, Iran , Ali Farrokhi Department of Electrical Engineering - Islamic Azad University South Tehran Branch, Tehran, Iran
كليدواژه :
emotion recognition , mouth detection , eye detection , face detection , GSA
عنوان كنفرانس :
همايش بين المللي هوش مصنوعي و پردازش سيگنال
چكيده لاتين :
Facial expressions are the mirror of human’s internal emotions. They are one of the major ways to communicate with others. Thus, play a critical role in line with human machine communications. This paper proposes a new facial emotion recognition method based on Gravitational Search Algorithm, from eyes and mouth features. Detection is implemented by part-based appearance manners and these attributes are used in the recognition phase. In this phase, fa-cial attributes and their mapping to emotion space are encoded using GSA-based optimization. Applying the method on Ebner’s facial expression database indicates 69.43% accuracy.
