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Evaluation of Facial Expressions for Automatic Interpretation and Classification of Motivation by Means of Computer Techniques

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Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10409))

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Abstract

Facial expressions provide non-verbal information about people’s emotional and mental states without the need for verbal communication, so the extraction and automatic tracking of facial components are the main tasks that artificial vision systems must solve in the realm of Human behavior, detection of facial expressions, man-machine interfaces, among other areas. In this work are proposed to use Kinect and the facetracking library to create a system that automatically locates the face and perform an interpretation of its elements to detect the motivation in an activity. The evaluation of the tests of this system obtained for cases where the system determined that the subjects were paying attention was 89.79%. For the cases where the system evaluated that the test subjects did not pay attention was 90.72%.

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Author information

Authors and Affiliations

  1. Centro Nacional de Investigación y Desarrollo Tecnológico, Cuernavaca, Mexico

    Catalina Alejandra Vázquez Rodríguez & Raúl Pinto Elías

Authors
  1. Catalina Alejandra Vázquez Rodríguez
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  2. Raúl Pinto Elías
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Corresponding author

Correspondence to Catalina Alejandra Vázquez Rodríguez .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Trieste, Trieste, Italy

    Giuseppe Borruso

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  9. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  10. University of Trieste, Trieste, Italy

    Alfredo Cuzzocrea

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© 2017 Springer International Publishing AG

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Rodríguez, C.A.V., Elías, R.P. (2017). Evaluation of Facial Expressions for Automatic Interpretation and Classification of Motivation by Means of Computer Techniques. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10409. Springer, Cham. https://doi.org/10.1007/978-3-319-62407-5_22

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  • DOI: https://doi.org/10.1007/978-3-319-62407-5_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62406-8

  • Online ISBN: 978-3-319-62407-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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