Gender and Smile Dynamics

  • Hassan UgailEmail author
  • Ahmad Ali Asad Aldahoud
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)


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.


Smile dynamics Gender recognition Machine learning k-nearest neighbour 


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Copyright information

© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of Engineering and InformaticsUniversity of BradfordBradfordUK
  2. 2.Faculty of Engineering and MathematicsUniversity of BradfordBradfordUK

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