abstract

Toward Predicting User Waist Location From VR Headset and Controllers Through Machine Learning

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Michael ZydaAuthors Info & Claims

SUI '21: Proceedings of the 2021 ACM Symposium on Spatial User Interaction

Article No.: 27, Pages 1 - 2

https://doi.org/10.1145/3485279.3485305

Published: 09 November 2021 Publication History

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Abstract

Commercial VR Headsets typically include a headset and two motion controllers. From this VR setup, we have access to the user’s head and hands, but lack information about other parts of the user’s body without using additional equipment. Accurate position of other body parts such as the waist would expand the user’s interaction space. In this paper, we describe our efforts at using machine learning to predict the position and rotation of the user’s waist using only the headset and two motion controllers with an additional tracker at the waist for training.

References

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Jasper Brekelmans. [n.d.]. Brekel OpenVR Recorder. Retrieved July 30, 2021 from https://brekel.com/openvr-recorder/

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Google. [n.d.]. https://www.mediapipe.dev/. Retrieved July 30, 2021 from https://www.mediapipe.dev/

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CMU Perceptual Computing Lab. [n.d.]. CMU-Perceptual-ComputingLab/openpose. Retrieved July 30, 2021 from https://github.com/CMU-Perceptual-Computing-Lab/openpose

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Juyoung Lee, Andreas Pastor, Jae-In Hwang, and Gerard Jounghyun Kim. 2019. Predicting the Torso Direction from HMD Movements for Walk-in-Place Navigation through Deep Learning. In 25th ACM Symposium on Virtual Reality Software and Technology (Parramatta, NSW, Australia) (VRST ’19). Association for Computing Machinery, New York, NY, USA, Article 84, 2 pages. https://doi.org/10.1145/3359996.3364709

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Published In

SUI '21: Proceedings of the 2021 ACM Symposium on Spatial User Interaction

November 2021

206 pages

ISBN:9781450390910

DOI:10.1145/3485279

Editors:
Francisco Ortega
Colorado State University, USA
,
Robert Teather
Carleton University, Canada
,
Gerd Bruder
University of Central Florida, USA
,
Thammathip Piumsomboon
University of Canterbury, New Zealand
,
Benjamin Weyers
University of Trier, Germany
,
Anil Ufuk Batmaz
Kadir Has University, Turkey
,
Kyle Johnsen
University of Georgia, USA
,
Christoph Borst
University of Louisiana at Lafayette, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 09 November 2021

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SUI '21: Symposium on Spatial User Interaction

November 9 - 10, 2021

Virtual Event, USA

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Toward Optimized VR/AR Ergonomics: Modeling and Predicting User Neck Muscle Contraction

Influence of User Posture and Virtual Exercise on Impression of Locomotion During VR Observation

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