Camera-Based Selection with Low-Cost Mobile VR Head-Mounted Displays
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I present a study comparing selection techniques for low-cost mobile VR devices, such as Google Cardboard. My objective was to assess if alternatives to common head-ray selection methods were feasible with current computer vision tracking approaches on the mobile. In the first experiment, I compared three selection techniques, air touch, head ray, and finger ray. Overall, hand-based selection technique (air touch) performed much worse than ray-based selection techniques. In the second experiment, I compared different combinations of selection techniques and selection activation methods. Results indicated that the built-in Cardboard button worked well with head ray and hand gesture with ray-based techniques can be an interaction potential on mobile VR. I concluded that camera-based ray selection techniques and hand-based activation mechanism are promising on Mobile VR in the future.
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Copyright © 2018 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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- 2018
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luo-camerabasedselectionwithlowcostmobilevrheadmounted.pdf | 2023-05-05 | Public | Download |