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Enhancing the Communication Spectrum in Collaborative Virtual Environments

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Advances in Visual Computing (ISVC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10072))

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Abstract

The importance of interpersonal and group communication has been studied and recognized for thousands of years. With recent technological advances, humans have enabled remote interaction through shared virtual spaces; however, research is still needed to develop methods for expressing many important non-verbal communication cues. Our work explores the methods for enhancing the communication spectrum in collaborative virtual environments. Our primary contribution is a machine learning framework that maps human facial data to avatars in the virtual world. We developed a synthetic training process to create labeled data to alleviate the burden of manual annotation. Additionally, we describe a collaborative virtual environment that can utilize both verbal and non-verbal cues for improved user communication and interaction. Finally, we present results demonstrating the success of our method in a sample collaborative scenario.

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Notes

  1. 1.

    http://www.unity3d.com.

  2. 2.

    http://www.mixamo.com.

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Correspondence to Edward Kim .

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Kim, E., Moritz, C. (2016). Enhancing the Communication Spectrum in Collaborative Virtual Environments. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2016. Lecture Notes in Computer Science(), vol 10072. Springer, Cham. https://doi.org/10.1007/978-3-319-50835-1_61

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  • DOI: https://doi.org/10.1007/978-3-319-50835-1_61

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50834-4

  • Online ISBN: 978-3-319-50835-1

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