Gender and smile dynamics
Ugail, Hassan Al-dahoud, Ahmad
Ugail, Hassan
Al-dahoud, Ahmad
Publication Date
2019-04-17
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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 and Al-dahoud A (2019) Gender and smile dynamics. In: Computational Techniques for Human Smile Analysis. SpringerBriefs in Computer Science. Switzerland: SpringerNature. 35-45.
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