Remote Training for Medical Staff in Low-Resource Environments Using Augmented Reality
Public Deposited- Creator
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Hale, Austin
- Affiliation: College of Arts and Sciences, Department of Computer Science
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Fischer, Marc
- Other Affiliation: Nakamir Inc.
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Schütz, Laura
- Other Affiliation: Stanford University
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Fuchs, Henry
- Affiliation: College of Arts and Sciences, Department of Computer Science
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Leuze, Christoph
- Other Affiliation: Nakamir Inc.
- Abstract
- This work aims to leverage medical augmented reality (AR) technology to counter the shortage of medical experts in low-resource environments. We present a complete and cross-platform proof-of-concept AR system that enables remote users to teach and train medical procedures without expensive medical equipment or external sensors. By seeing the 3D viewpoint and head movements of the teacher, the student can follow the teacher’s actions on the real patient. Alternatively, it is possible to stream the 3D view of the patient from the student to the teacher, allowing the teacher to guide the student during the remote session. A pilot study of our system shows that it is easy to transfer detailed instructions through this remote teaching system and that the interface is easily accessible and intuitive for users. We provide a performant pipeline that synchronizes, compresses, and streams sensor data through parallel efficiency.
- Date of publication
- 2022
- Keyword
- DOI
- Identifier
- Resource type
- Article
- License
- Attribution 4.0 International
- Journal title
- Journal of Imaging
- Journal volume
- 8
- Journal issue
- 12
- Page start
- 319
- Language
- English
- Version
- Publisher
- ISSN
- 2313-433X
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