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abstract

LabDesignAR: configuring multi-camera motion capture systems in augmented reality

Published: 08 November 2017 Publication History

Abstract

We present LabDesignAR, an augmented reality application to support the planning, setup, and reconfiguration of marker-based motion capture systems with multiple cameras. LabDesignAR runs on the Microsoft HoloLens and allows the user to place an arbitrary number of virtual "holographic" motion capture cameras into an arbitrary space, in situ. The holographic cameras can be arbitrarily positioned, and different lens configurations can be selected to visualize the resulting fields of view and their intersections. Lab-DesignAR also demonstrates a hybrid natural gestural interaction technique, implemented through a fusion of the vision-based hand tracking capabilities of an augmented reality headset and instrumented gesture recognition with an electromyography armband. The source code for LabDesignAR and its supporting components can be found online.

References

[1]
B. Danette Allen and Greg Welch. 2005. A General Method for Comparing the Expected Performance of Tracking and Motion Capture Systems. In Proceedings of the ACM Symposium on Virtual Reality Software and Technology (VRST '05). ACM, New York, NY, USA, 201--210.
[2]
Noah Bloem. 2017. Zombies?! Surviving the undead legion at the VR Arcade Amsterdam. DutchReview (5 2017). Retrieved August 17, 2017 from https://dutchreview.com/dutch-reviews/places/zombies-surviving-the-undead-legion-at-vr-arcade-amsterdam/.
[3]
Ying Yin and Randall Davis. 2010. Toward Natural Interaction in the Real World: Real-time Gesture Recognition. In International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction (ICMI-MLMI '10). ACM, New York, NY, USA, Article 15, 8 pages.

Cited By

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  • (2020)IETF Reliable and Available Wireless (RAW): Use Cases and Problem StatementAd-Hoc, Mobile, and Wireless Networks10.1007/978-3-030-61746-2_23(303-314)Online publication date: 15-Oct-2020
  • (2017)ViewfinderProceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia10.1145/3152832.3156616(465-471)Online publication date: 26-Nov-2017

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Published In

cover image ACM Conferences
VRST '17: Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology
November 2017
437 pages
ISBN:9781450355483
DOI:10.1145/3139131
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: 08 November 2017

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Author Tags

  1. LabDesignAR
  2. augmented reality
  3. gestural interaction
  4. hololens
  5. motion capture
  6. natural interaction

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VRST '17

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Overall Acceptance Rate 66 of 254 submissions, 26%

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Cited By

View all
  • (2020)IETF Reliable and Available Wireless (RAW): Use Cases and Problem StatementAd-Hoc, Mobile, and Wireless Networks10.1007/978-3-030-61746-2_23(303-314)Online publication date: 15-Oct-2020
  • (2017)ViewfinderProceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia10.1145/3152832.3156616(465-471)Online publication date: 26-Nov-2017

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