This chapter introduces recent advances in machine analysis of facial expressions. It first surveys the problem domain, describes the problem space, and examines the state of the art. Then it describes several techniques used for automatic facial expression analysis that were recently proposed by the authors. Four areas will receive particular attention: face detection, facial feature extraction, facial muscle action detection, and emotion recognition. Finally, some of the scientific and engineering challenges are discussed and recommendations for achieving a better facial expression measurement technology are outlined.
CITATION STYLE
Pantic, M., & Stewart, M. (2007). Machine Analysis of Facial Expressions. In Face Recognition. I-Tech Education and Publishing. https://doi.org/10.5772/4847
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