“FACS at 40 Facial Action Coding System Panel” Moderated by Mike Seymour
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Entry Number: 04
Title:
- FACS at 40 Facial Action Coding System Panel
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ABSTRACT
Creating emotionally impactful characters has been one of the biggest challenges in computer graphics. Key to this has been understanding how faces express emotion. In 1978 research started in coding human expressions. The Facial Action Coding System (FACS) would become one of the cornerstones of facial animation of digital characters. Today FACS is recognized as the gold standard in scientific facial research and animation. Forty years on, we discuss the strengths and limitations of FACS, its relevance in the age of Machine Learning and what people are doing to improve upon FACS in animation. The panel features leading experts: J.P. Lewis, Erika Rosenberg, Vladimir Mastilovic, Mark Sagar and hosted by Mike Seymour.
References:
- Paul. Ekman. 1977. Biological and cultural contributions to body and facial movement. 15 (01 1977), 40–80.
- Paul Ekman and Wallace V. Friesen. 1978. Manual for the facial action coding system. Consulting Psychologists Press.
- Paul Ekman, Wallace V. Friesen, and J. C. Hager. 2002. FACS Investigator’s Guide. Consulting Psychologists Press. Paul Ekman and Erika L. Rosenberg (Eds.). 1997. What the face reveals: Basic and applied studies of spontaneous expression using the Facial Action Coding System. Oxford University Press.
- M. Meng, T. Cherian, G. Singal, and P. Sinha. 2012. Lateralization of face processing in the human brain. Proceedings of the Royal Society B: Biological Sciences 279, 1735 (2012), 2052.
- M. Mori, K. F. MacDorman, and N. Kageki. 2012. The Uncanny Valley [From the Field]. IEEE Robotics Automation Magazine 19, 2 (June 2012), 98–100. https: //doi.org/10.1109/MRA.2012.2192811
- Mark Sagar, Mike Seymour, and Annette Henderson. 2016. Creating Connection with Autonomous Facial Animation. Commun. ACM 59, 12 (Dec. 2016), 82–91. https://doi.org/10.1145/2950041
- Mike Seymour, Chris Evans, and Kim Libreri. 2017. Meet Mike: Epic Avatars. In ACM SIGGRAPH 2017 VR Village (SIGGRAPH ’17). ACM, New York, NY, USA, Article 12, 2 pages. https://doi.org/10.1145/3089269.3089276
- Michael Seymour, Kai Riemer, and Judy Kay. 2019. Mapping Beyond the Uncanny Valley: A Delphi Study on Aiding Adoption of Realistic Digital Faces. In Proceedings of the 52nd Hawaii International Conference on System Sciences. https://doi.org/10. 24251/HICSS.2019.577.
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Acknowledgements:
Chris Evans for his role in suggesting the panel session.