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An Approach to Basic Emotion Recognition Through Players Body Pose Using Virtual Reality Devices

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Advances in Computer Entertainment Technology (ACE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10714))

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Abstract

Virtual Reality tracking devices provide more information than what is being used in most applications. In this experiment, we develop a real-time system, using neural networks, that allows us to detect subconscious player poses associated moods and use them to guide games. This provides new ways to create greater conversations and narrative experiences.

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Notes

  1. 1.

    HTC Vive, https://www.vive.com/eu/, last access 2017/10/20.

  2. 2.

    Unity, https://unity3d.com, last access 2017/10/20.

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Author information

Authors and Affiliations

  1. Facultad de Ciencias de la Informacion, Universidad Francisco de Vitoria, Ctra. Pozuelo-Majadahonda Km. 1.800, Pozuelo de Alarcon, 28223, Madrid, Spain

    Gabriel Peñas

  2. Department of Artificial Intelligence and Software Engineering, Universidad Complutense de Madrid, c/ Profesor José García Santesmases, 9, 28040, Madrid, Spain

    Federico Peinado

Authors
  1. Gabriel Peñas
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  2. Federico Peinado
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Corresponding author

Correspondence to Gabriel Peñas .

Editor information

Editors and Affiliations

  1. City, University of London, London, United Kingdom

    Adrian David Cheok

  2. University of Tokyo, Tokyo, Japan

    Masahiko Inami

  3. NOVA University of Lisbon, Lisbon, Portugal

    Teresa Romão

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Peñas, G., Peinado, F. (2018). An Approach to Basic Emotion Recognition Through Players Body Pose Using Virtual Reality Devices. In: Cheok, A., Inami, M., Romão, T. (eds) Advances in Computer Entertainment Technology. ACE 2017. Lecture Notes in Computer Science(), vol 10714. Springer, Cham. https://doi.org/10.1007/978-3-319-76270-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-76270-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76269-2

  • Online ISBN: 978-3-319-76270-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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