Anthropometric facial emotion recognition

Abstract

The aim of this project is detection, analysis and recognition of facial features. The system operates on grayscale images. For the analysis Haar-like face detector was used along with anthropometric face model and a hybrid feature detection approach. The system localizes 17 characteristic points of analyzed face and, based on their displacements certain emotions can be automatically recognized. The system was tested on a publicly available database (Japanese Female Expression Database) JAFFE with ca. 77% accuracy for 7 basic emotions using various classifiers. Thanks to its open structure the system can cooperate well with any HCI system. © 2009 Springer Berlin Heidelberg.