ARTICLE fasel03a-art/IDIAP Automatic Facial Expression Analysis: A Survey Fasel, B. Luettin, Juergen EXTERNAL http://publications.idiap.ch/attachments/reports/1999/rr99-19.pdf PUBLIC http://publications.idiap.ch/index.php/publications/showcite/fasel-rr-99-19 Related documents Pattern Recognition 36 1 259-275 2003 IDIAP-RR 99-19 Over the last decade, automatic facial expression analysis has become an active research area that finds potential applications in areas such as more engaging human-computer interfaces, talking heads, image retrieval and human emotion analysis. Facial expressions reflect not only emotions, but other mental activities, social interaction and physiological signals. In this survey we introduce the most prominent automatic facial expression analysis methods and systems presented in the literature. Facial motion and deformation extraction approaches as well as classification methods are discussed with respect to issues such as face normalization, facial expression dynamics and facial expression intensity, but also with regard to their robustness towards environmental changes. REPORT fasel-RR-99-19/IDIAP Automatic Facial Expression Analysis: A Survey Fasel, B. Luettin, Juergen EXTERNAL http://publications.idiap.ch/attachments/reports/1999/rr99-19.pdf PUBLIC Idiap-RR-19-1999 1999 IDIAP Published in Pattern Recognition, 36(1):259-275, 2003 Over the last decade, automatic facial expression analysis has become an active research area that finds potential applications in areas such as more engaging human-computer interfaces, talking heads, image retrieval and human emotion analysis. Facial expressions reflect not only emotions, but other mental activities, social interaction and physiological signals. In this survey we introduce the most prominent automatic facial expression analysis methods and systems presented in the literature. Facial motion and deformation extraction approaches as well as classification methods are discussed with respect to issues such as face normalization, facial expression dynamics and facial expression intensity, but also with regard to their robustness towards environmental changes.