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Cited by 44EEG and Brain-Computer InterfacesAugmented Reality ApplicationsGaze Tracking and Assistive Technology

Superman-like X-ray vision: Towards brain-computer interfaces for medical augmented reality

Blum, Tobias, Stauder, Ralf, Euler, Ekkehard, Navab, Nassir·2012·2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
DOI 10.1109/ismar.2012.6402569
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Abstract

This paper describes first steps towards a Superman-like X-ray vision where a brain-computer interface (BCI) device and a gaze-tracker are used to allow the user controlling the augmented reality (AR) visualization. A BCI device is integrated into two medical AR systems. To assess the potential of this technology first feedback from medical doctors is gathered. While in this pilot study not the full range of available signals but only electromyographic signals are used, the medical doctors provided very positive feedback on the use of BCI for medical AR.

Integrity signals

Registry

Crossref · 10.1109/ismar.2012.6402569

Cites

9 of 9 references verified0 citation errors · 0 not checkable

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 6G end-to-end delay, radio delay and processing requirements are 1 ms, 10 ns and 10 ns respectively to provide real-time communication.

    “The end-to-end delay, radio delay and processing requirements are 1 ms, 10 ns and 10 ns respectively to provide real-time communication [2], [22].”

    From 6G Communication Technology: A Vision on Intelligent Healthcare (2021) · cites this paper as [2]

  • 6G will use terahertz (THz) signal for transmission.

    “6G will be using the terahertz (THz) signal for transmission [2].”

    From 6G Communication Technology: A Vision on Intelligent Healthcare (2021) · cites this paper as [2]

  • QoS includes mobile broad bandwidth and low latency (MBBLL), massive broad bandwidth machine type (mBBMT), and massive low latency machine type (mLLMT).

    “Also, QoS includes mobile broad bandwidth and low latency (MBBLL), massive broad bandwidth machine type (mBBMT), massive low latency machine type (mLLMT) [2].”

    From 6G Communication Technology: A Vision on Intelligent Healthcare (2021) · cites this paper as [2]

  • IoE will be required by 6G to have a huge capacity to connect millions of intelligent devices, collect tactile sensations and convert them to digital data.

    “IoE will be required by 6G to have a huge capacity to connect millions of intelligent devices, collect tactile sensations and convert to digital data [2].”

    From 6G Communication Technology: A Vision on Intelligent Healthcare (2021) · cites this paper as [2]

  • AR and VR require a peak data rate of 1 Tbps and user experience of >10 Gbps with >0.1 ms latency, which can be provided by MBBLL.

    “AR and VR require a peak data rate of 1 Tbps and user experience of > 10 Gbps with > 0.1 ms latency which can be provided by MBBLL[2].”

    From 6G Communication Technology: A Vision on Intelligent Healthcare (2021) · cites this paper as [2]

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Related

Authors
Blum, T., Stauder, R., Euler, E., & Navab, N.
Affiliations
  • Technical University of Munich (DE)
  • LMU Klinikum (DE)
ORCID
Venue
2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
Publisher
IEEE
Published
2012-11
Pages
271-272
ISSN
1554-7868 (ISSN-L)
DOI
10.1109/ismar.2012.6402569
OpenAlex
W2027577910
Cited by
44
References
9
Citations by year
2025: 1 · 2024: 5 · 2023: 2 · 2022: 7 · 2021: 8 · 2020: 3 · 2019: 7 · 2018: 1 · 2017: 2 · 2016: 3 · 2015: 5
FWCI
3.10
Type
conference paper
Language
en
Open access
closed
Locations
Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR (publishedVersion)
Funders
  • Deutsche Forschungsgemeinschaft
  • National Institute on Aging
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
  • Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
Keywords
brain-computer interface, medical augmented reality, gaze tracking, electromyography

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