Abstract
This chapter is concerned with the discussion of a computational framework to aid with gender classification in an automated fashion using the dynamics of a smile. The computational smile dynamics framework we discuss here uses the spatio-temporal changes on the face during a smile. Specifically, it uses a set of spatial and temporal features on the overall face. These include the changes in the area of the mouth, the geometric flow around facial features and a set of intrinsic features over the face. These features are explicitly derived from the dynamics of the smile. Based on it, a number of distinct dynamic smile parameters can be extracted which can then be fed to a machine learning algorithm for gender classification.
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Ugail, H., Aldahoud, A.A.A. (2019). Gender and Smile Dynamics. In: Computational Techniques for Human Smile Analysis. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-15381-6_4
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DOI: https://doi.org/10.1007/978-3-030-15381-6_4
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