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Gesture Interaction in Virtual Reality

A Low-Cost Machine Learning System and a Qualitative Assessment of Effectiveness of Selected Gestures vs. Gaze and Controller Interaction

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Human-Computer Interaction – INTERACT 2021 (INTERACT 2021)

Abstract

We explore gestures as interaction methods in virtual reality (VR). We detect hand and body gestures using human pose estimation based on off-the-shelf optical camera images using machine learning, and obtain reliable gesture recognition without additional sensors. We then employ an avatar to prompt users to learn and use gestures to communicate. Finally, to understand how well gestures serve as interaction methods, we compare the studied gesture-based interaction methods with baseline common interaction modalities in VR (controllers, gaze interaction) in a pilot study including usability testing.

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Correspondence to Arzu Çöltekin .

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Huesser, C., Schubiger, S., Çöltekin, A. (2021). Gesture Interaction in Virtual Reality. In: Ardito, C., et al. Human-Computer Interaction – INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science(), vol 12934. Springer, Cham. https://doi.org/10.1007/978-3-030-85613-7_11

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  • DOI: https://doi.org/10.1007/978-3-030-85613-7_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85612-0

  • Online ISBN: 978-3-030-85613-7

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