Virtual Equipment System: Toward Peripersonal Equipment Slots with Machine Learning
Authors: 
Mark Miller, Powen Yao, Adityan Jothi, Andrew Zhao, Sloan Swieso, Michael ZydaAuthors Info & Claims
Mark Miller, Powen Yao, Adityan Jothi, Andrew Zhao, Sloan Swieso, Michael ZydaAuthors Info & ClaimsArticle No.: 30, Pages 1 - 2
Abstract
Peripersonal Equipment Slots are locations to place equipment that are egocentric to the user but do not reside within the user’s personal space. Instead, these slots reside within the user’s arm reach, known as peripersonal space. In this paper, we present our initial approach and results from our attempt to realize peripersonal equipment slots through the use of machine learning.
References
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Giuseppe di Pellegrino and Elisabetta Làdavas. 2015. Peripersonal space in the brain. Neuropsychologia 66 (Jan 2015), 126–133. https://doi.org/10.1016/j.neuropsychologia.2014.11.011
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Rajiv Khadka and Amy Banić. 2020. Prop-Based Egocentric and Exocentric Virtual Object Storage Techniques. In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 778–779. https://doi.org/10.1109/VRW50115.2020.00240
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Jussi Ängeslevä, Ian Oakley, Stephen Hughes, and Sile O’Modhrain. 2003. Body Mnemonics - Portable device interaction design concept. In Proceedings of UIST’03.
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Published In
November 2021
206 pages
ISBN:9781450390910
DOI:10.1145/3485279
Copyright © 2021 Owner/Author.
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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