EclipseTouch: Touch Segmentation on Ad Hoc Surfaces using Worn Infrared Shadow Casting
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866912569127600128 |
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| author | Mollyn, Vimal DeVrio, Nathan Harrison, Chris |
| author_facet | Mollyn, Vimal DeVrio, Nathan Harrison, Chris |
| contents | The ability to detect touch events on uninstrumented, everyday surfaces has been a long-standing goal for mixed reality systems. Prior work has shown that virtual interfaces bound to physical surfaces offer performance and ergonomic benefits over tapping at interfaces floating in the air. A wide variety of approaches have been previously developed, to which we contribute a new headset-integrated technique called \systemname. We use a combination of a computer-triggered camera and one or more infrared emitters to create structured shadows, from which we can accurately estimate hover distance (mean error of 6.9~mm) and touch contact (98.0\% accuracy). We discuss how our technique works across a range of conditions, including surface material, interaction orientation, and environmental lighting. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_03430 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | EclipseTouch: Touch Segmentation on Ad Hoc Surfaces using Worn Infrared Shadow Casting Mollyn, Vimal DeVrio, Nathan Harrison, Chris Human-Computer Interaction Computer Vision and Pattern Recognition Graphics Robotics The ability to detect touch events on uninstrumented, everyday surfaces has been a long-standing goal for mixed reality systems. Prior work has shown that virtual interfaces bound to physical surfaces offer performance and ergonomic benefits over tapping at interfaces floating in the air. A wide variety of approaches have been previously developed, to which we contribute a new headset-integrated technique called \systemname. We use a combination of a computer-triggered camera and one or more infrared emitters to create structured shadows, from which we can accurately estimate hover distance (mean error of 6.9~mm) and touch contact (98.0\% accuracy). We discuss how our technique works across a range of conditions, including surface material, interaction orientation, and environmental lighting. |
| title | EclipseTouch: Touch Segmentation on Ad Hoc Surfaces using Worn Infrared Shadow Casting |
| topic | Human-Computer Interaction Computer Vision and Pattern Recognition Graphics Robotics |
| url | https://arxiv.org/abs/2509.03430 |