EAN: 9783030153809
                  Bilder-Quelle: discount24.de - Sport-Freizeit
      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.
        
                  
          Produktinformationen zuletzt aktualisiert am
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      04.11.2025 um 14:24 Uhr
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          EAN
9783030153809
          MPN
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          ASIN
3030153800
          Produktgruppe
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