Dr. Ge Shi Profile

Dr. Ge Shi

at Western Univ

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Proceedings Article | 29 March 2024 Poster + Paper

Automating creation of high-fidelity holographic hand animations for surgical skills training using mixed reality headsets

Regina W. Leung, Ge Shi, Christina Lim, Matthew Van Oirschot

Proceedings Volume 12928, 129282F (2024) https://doi.org/10.1117/12.3008787

KEYWORDS: Holography, Education and training, Mixed reality, 3D modeling, Solid modeling, Data modeling, Motion models, 3D displays, Surgery, Perceptual learning

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Purpose: Virtual holographic simulation skills training has a growing role in supplementing surgical skills training given increasingly limited healthcare resources and recent advancements in mixed reality technology. However, creating highfidelity 3D holographic animations (particularly hand animations) is expensive, time-consuming, and complex. We propose a low-cost solution using mixed reality headsets for motion capture of hands to automatically create high-fidelity 3D holographic hand animations. Methods: In this study, a 3D animation of a single-handed knot tie was created using the Oculus Quest 2 and APS Mocap Fusion app for display on a Microsoft HoloLens 2. To assess the feasibility and quality of the created 3D holographic animation, a qualitative and quantitative pilot study of 20 participants was conducted comparing learning one-handed knot ties from an in-person demonstration versus the 3D holographic hand-tie animation. Results: Our pilot study demonstrated participants were able to learn one-handed knot ties from the holographic animation (70% of participants) and was comparable to in-person (80%). Promisingly, based on the Likert scale questionnaire, participants found learning from the holographic animation was more effective (4.4 vs 3.3), easier (3.6 vs 3.3), and felt more confident in learning the knot-tie (4.4 vs 3.5) in comparison to in-person demonstration. Furthermore, participants felt the holographic animation was comparable to real-life hands (4). Overall, we successfully illustrated a low-cost automated methodology of creating high-fidelity 3D holographic hand animations from mixed reality headset motion capture data with potential for use in surgical simulation skills training.

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