Learning Personalized Models for Facial Expression Analysis and Gesture Recognition

@article{Zen2016LearningPM,
  title={Learning Personalized Models for Facial Expression Analysis and Gesture Recognition},
  author={Guangpu Zen and Lorenzo Porzi and Enver Sangineto and Elisa Ricci and Nicu Sebe},
  journal={IEEE Transactions on Multimedia},
  year={2016},
  volume={18},
  pages={775-788}
}
Facial expression and gesture recognition algorithms are key enabling technologies for human-computer interaction (HCI) systems. State of the art approaches for automatic detection of body movements and analyzing emotions from facial features heavily rely on advanced machine learning algorithms. Most of these methods are designed for the average user, but the assumption “one-size-fits-all” ignores diversity in cultural background, gender, ethnicity, and personal behavior, and limits their… CONTINUE READING
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