research-article

Walking in place using the Microsoft Kinect to explore a large VE

Authors:

Preston Tunnell Wilson,

Betsy WilliamsAuthors Info & Claims

VRCAI '14: Proceedings of the 13th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry

Pages 27 - 33

https://doi.org/10.1145/2670473.2670492

Published: 30 November 2014 Publication History

Abstract

In this work, we present a simple method of "walking in place" (WIP) using the Microsoft Kinect to explore a virtual environment (VE) with a head-mounted display (HMD). Other studies have shown that WIP to explore a VE is equivalent to normal walking in terms of spatial orientation. This suggests that WIP is a promising way to explore a large VE. The Microsoft Kinect sensor is a great tool for implementing WIP because it enables real time skeletal tracking and is relatively inexpensive (110 USD). However, the skeletal information obtained from Kinect sensors can be noisy. Thus, this research discusses how we combined the data from two Kinects to implement a robust WIP algorithm. We evaluate our algorithm and directly compare it to joystick navigation of a large VE. We also explore the possibility of scaling the gain of WIP so that one WIP step forward carries the user two steps forward in virtual space.

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Cited By

Hedlund MLundström ABogdan CMatviienko A(2023)Jogging-in-Place: Exploring Body-Steering Methods for Jogging in Virtual EnvironmentsProceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia10.1145/3626705.3627778(377-385)Online publication date: 3-Dec-2023
https://dl.acm.org/doi/10.1145/3626705.3627778
Hashemian AAdhikari AKruijff EHeyde MRiecke B(2023)Leaning-Based Interfaces Improve Ground-Based VR Locomotion in Reach-the-Target, Follow-the-Path, and Racing TasksIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.313142229:3(1748-1768)Online publication date: 1-Mar-2023
https://doi.org/10.1109/TVCG.2021.3131422
Daşdemir Y(2023)Locomotion techniques with EEG signals in a virtual reality environmentDisplays10.1016/j.displa.2023.10253880(102538)Online publication date: Dec-2023
https://doi.org/10.1016/j.displa.2023.102538
Show More Cited By

Index Terms

Walking in place using the Microsoft Kinect to explore a large VE
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
      1. Virtual reality

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Published In

cover image ACM Conferences

VRCAI '14: Proceedings of the 13th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry

November 2014

246 pages

ISBN:9781450332545

DOI:10.1145/2670473

General Chairs:
Xiaogang Jin
Zhejiang University, China
,
Nadia Magnenat-Thalmann
Nanyang Technological University, Singapore and MIRALab, University of Geneva, Switzerland
,
Hyun Seung Yang
Korea Advanced Institute of Science & Technology, Korea
,
Program Chairs:
Xubo Yang
Shanghai Jiao Tong University, China
,
Tomasz Bednarz
CSRIO, Australia
,
Issei Fujishiro
Keio University, Japan

Copyright © 2014 ACM.

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 November 2014

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Funding Sources

National Science Foundation

Conference

VRCAI 2014

Sponsor:

SIGGRAPH

VRCAI 2014: 13th ACM International Conference on Virtual Reality Continuum and Its Applications in Industry

November 30 - December 2, 2014

Shenzhen, China

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Overall Acceptance Rate 51 of 107 submissions, 48%

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Cited By

Hedlund MLundström ABogdan CMatviienko A(2023)Jogging-in-Place: Exploring Body-Steering Methods for Jogging in Virtual EnvironmentsProceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia10.1145/3626705.3627778(377-385)Online publication date: 3-Dec-2023
https://dl.acm.org/doi/10.1145/3626705.3627778
Hashemian AAdhikari AKruijff EHeyde MRiecke B(2023)Leaning-Based Interfaces Improve Ground-Based VR Locomotion in Reach-the-Target, Follow-the-Path, and Racing TasksIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.313142229:3(1748-1768)Online publication date: 1-Mar-2023
https://doi.org/10.1109/TVCG.2021.3131422
Daşdemir Y(2023)Locomotion techniques with EEG signals in a virtual reality environmentDisplays10.1016/j.displa.2023.10253880(102538)Online publication date: Dec-2023
https://doi.org/10.1016/j.displa.2023.102538
Choi YPark DLee SHan IAkan EJeon HLuo YKim SMatusik WRus DKim K(2023)Seamless-walk: natural and comfortable virtual reality locomotion method with a high-resolution tactile sensorVirtual Reality10.1007/s10055-023-00750-x27:2(1431-1445)Online publication date: 17-Jan-2023
https://doi.org/10.1007/s10055-023-00750-x
Fulton SAichele DCoulon EKizer MConser ABares W(2022)Stage Together: Remote Rehearsal of Theater BlockingProceedings of the 8th International Conference on Movement and Computing10.1145/3537972.3537977(1-5)Online publication date: 22-Jun-2022
https://dl.acm.org/doi/10.1145/3537972.3537977
Tan CFoo LYeo ALee JWan EKok XRajendran M(2022)Understanding User Experiences Across VR Walking-in-place Locomotion MethodsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501975(1-13)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3501975
Paris RBuck LMcNamara TBodenheimer B(2022)Evaluating the Impact of Limited Physical Space on the Navigation Performance of Two Locomotion Methods in Immersive Virtual Environments2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)10.1109/VR51125.2022.00104(821-831)Online publication date: Mar-2022
https://doi.org/10.1109/VR51125.2022.00104
Kim WSung JXiong S(2021)Walking-in-place for omnidirectional VR locomotion using a single RGB cameraVirtual Reality10.1007/s10055-021-00551-026:1(173-186)Online publication date: 18-Jun-2021
https://doi.org/10.1007/s10055-021-00551-0
Kim WShin EXiong S(2021)User Defined Walking-In-Place Gestures for Intuitive Locomotion in Virtual RealityVirtual, Augmented and Mixed Reality10.1007/978-3-030-77599-5_14(172-182)Online publication date: 3-Jul-2021
https://doi.org/10.1007/978-3-030-77599-5_14
Lee JLee MKim GHwang J(2020)Effects of Synchronized Leg Motion in Walk-in-Place Utilizing Deep Neural Networks for Enhanced Body Ownership and Sense of Presence in VRProceedings of the 26th ACM Symposium on Virtual Reality Software and Technology10.1145/3385956.3418959(1-10)Online publication date: 1-Nov-2020
https://dl.acm.org/doi/10.1145/3385956.3418959
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