Recognizing Action Units for Facial Expression Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis and Synthesis of Facial Image Sequences Using Physical and Anatomical Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Asymmetric Facial Action Unit Activities and Intensities
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
PCA = Gabor for Expression Recognition
PCA = Gabor for Expression Recognition
Face image analysis by unsupervised learning and redundancy reduction
Face image analysis by unsupervised learning and redundancy reduction
Human expression recognition from motion using a radial basis function network architecture
IEEE Transactions on Neural Networks
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The demand for humanoid robots as service robots for everyday life has increased during the last years. The processing power of the hardware and the development of complex software applications allows the realization of "natural" human-robot interaction. One of the important topics of natural interaction is the detection of emotions which enables the robot to react appropriately to the emotional state of the communication partner. Humanoid robots designed for natural interaction require a short response time and a reliable detection. In this paper we introduce a emotion detection system realized with a combination of a haar-cascade classifier and a contrast filter. The detected feature points are then used to estimate the emotional state using the so called action units. Final experiments with the humanoid robot ROMAN show the performance of the proposed approach.