Anthropometric Facial Emotion Recognition

Authors:
Julia Jarkiewicz;Rafał Kocielnik;Krzysztof Marasek
Affiliations:
Polish-Japanese Institute of Information Technology, Warszawa, Poland 02-008;Polish-Japanese Institute of Information Technology, Warszawa, Poland 02-008;Polish-Japanese Institute of Information Technology, Warszawa, Poland 02-008
Venue:
Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques
Year:
2009

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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.