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abstract

Webcam-based Hand- and Object-Tracking for a Desktop Workspace in Virtual Reality

Published: 07 October 2024 Publication History

Abstract

As virtual reality overlays the user’s view, challenges arise when interaction with their physical surroundings is still needed. In a seated workspace environment interaction with the physical surroundings can be essential to enable productive working. Interaction with e.g. physical mouse and keyboard can be difficult when no visual reference is given to where they are placed. This demo shows a combination of computer vision-based marker detection with machine-learning-based hand detection to bring users’ hands and arbitrary objects into VR.

References

[1]
Camillo Lugaresi et al.2019. MediaPipe: A Framework for Perceiving and Processing Reality. In Third Workshop on Computer Vision for AR/VR at IEEE Computer Vision and Pattern Recognition (CVPR) 2019.
[2]
S. Garrido-Jurado, R. Muñoz-Salinas, F.J. Madrid-Cuevas, and M.J. Marín-Jiménez. 2014. Automatic generation and detection of highly reliable fiducial markers under occlusion. Pattern Recognition 47, 6 (2014), 2280–2292. https://doi.org/10.1016/j.patcog.2014.01.005
[3]
Sandra G Hart and Lowell E Staveland. 1988. Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In Advances in psychology. Vol. 52. Elsevier, 139–183.
[4]
Bettina Laugwitz, Theo Held, and Martin Schrepp. 2008. Construction and Evaluation of a User Experience Questionnaire. USAB 2008 5298, 63–76. https://doi.org/10.1007/978-3-540-89350-9_6

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Published In

cover image ACM Conferences
SUI '24: Proceedings of the 2024 ACM Symposium on Spatial User Interaction
October 2024
396 pages
ISBN:9798400710889
DOI:10.1145/3677386
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

Publication History

Published: 07 October 2024

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Author Tags

  1. Hand-Tracking
  2. Object-Tracking
  3. Physical Props
  4. Virtual Reality
  5. Webcam

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SUI '24

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Overall Acceptance Rate 86 of 279 submissions, 31%

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