© 2019

Computational Techniques for Human Smile Analysis


Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Hassan Ugail, Ahmad Ali Asad Aldahoud
    Pages 1-9
  3. Hassan Ugail, Ahmad Ali Asad Aldahoud
    Pages 11-21
  4. Hassan Ugail, Ahmad Ali Asad Aldahoud
    Pages 23-33
  5. Hassan Ugail, Ahmad Ali Asad Aldahoud
    Pages 35-45
  6. Hassan Ugail, Ahmad Ali Asad Aldahoud
    Pages 47-56
  7. Hassan Ugail, Ahmad Ali Asad Aldahoud
    Pages 57-59
  8. Back Matter
    Pages 61-61

About this book


In this book, the authors discuss the recent developments in computational techniques for automated non-invasive facial emotion detection and analysis with particular focus on the smile. By way of applications, they discuss how genuine and non-genuine smiles can be inferred, how gender is encoded in a smile and how it is possible to use the dynamics of a smile itself as a biometric feature.

It is often said that the face is a window to the soul. Bearing a metaphor of this nature in mind, one might find it intriguing to understand, if any, how the physical, behavioural as well as emotional characteristics of a person could be decoded from the face itself. With the increasing deductive power of machine learning techniques, it is becoming plausible to address such questions through the development of appropriate computational frameworks. Though there are as many as over twenty five categories of emotions one could express, regardless of the ethnicity, gender or social class, across humanity, there exist six common emotions – namely happiness, sadness, surprise, fear, anger and disgust - all of which can be inferred from facial expressions. Of these facial expressions, the smile is the most prominent in social interactions.

The smile bears important ramifications with beliefs such as it makes one more attractive, less stressful in upsetting situations and employers tending to promote people who smile often. Even pockets of scientific research appear to be forthcoming to validate such beliefs and claims, e.g. the smile intensity observed in photographs positively correlates with longevity, the ability to win a fight and whether a couple would stay married. Thus, it appears that many important personality traits are encoded in the smile itself. Therefore, the deployment of computer based algorithms for studying the human smiles in greater detail is a plausible avenue for which the authors have dedicated the discussions in this book. 









Face Analysis Smile Analysis Computational Methods Smile Dynamics Machine Learning Facial Emotion Analysis

Authors and affiliations

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

Bibliographic information

  • Book Title Computational Techniques for Human Smile Analysis
  • Authors Hassan Ugail
    Ahmad Ali Asad Aldahoud
  • Series Title SpringerBriefs in Computer Science
  • Series Abbreviated Title SpringerBriefs Computer Sci.
  • DOI
  • Copyright Information The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-3-030-15380-9
  • eBook ISBN 978-3-030-15381-6
  • Series ISSN 2191-5768
  • Series E-ISSN 2191-5776
  • Edition Number 1
  • Number of Pages XIII, 61
  • Number of Illustrations 1 b/w illustrations, 35 illustrations in colour
  • Topics Biometrics
    Artificial Intelligence
    Computer Appl. in Life Sciences
  • Buy this book on publisher's site
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