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Books > Computing & IT > General theory of computing
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Computational Techniques for Human Smile Analysis (Paperback, 1st ed. 2019)
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Computational Techniques for Human Smile Analysis (Paperback, 1st ed. 2019)
Series: SpringerBriefs in Computer Science
Expected to ship within 10 - 15 working days
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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.
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