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LoCoMoTe – a Framework for Classification of Natural Locomotion in VR by Task, Technique and Modality

  • Published:2023 Issue: Volume: Page:1-19
  • ISSN:1077-2626
  • Container-title:IEEE Transactions on Visualization and Computer Graphics
  • language:
  • Short-container-title:IEEE Trans. Visual. Comput. Graphics

Author:

Croucher Charlotte1ORCID,Powell Wendy1ORCID,Stevens Brett2,Miller-Dicks Matt3ORCID,Powell Vaughan1,Wiltshire Travis J.1,Spronck Pieter1

Affiliation:

1. Department of Cognitive Science and Artificial Intelligence, Tilburg University Warandelaan 2, 5037 AB Tilburg, Netherlands

2. Department of Creative Technology, University of Portsmouth, Eldon Building, Winston Churchill Avenue, Portsmouth, U.K

3. School of Sport, Health and Exercise Science, University of Portsmouth, Spinnaker Building, Cambridge Road, Portsmouth, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. APF-S2T: Steering to Target Redirection Walking Based on Artificial Potential Fields;IEEE Transactions on Visualization and Computer Graphics;2024-05

2. LoCoMoTe Dashboard: An Interactive Online Dashboard for the Standardised Categorisation of Natural Walking VR Experiments;2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW);2024-03-16
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