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FiberBoard: compact multi-touch display using channeled light

Published: 23 November 2009 Publication History

Abstract

Multi-touch displays based on infrared (IR) light offer many advantages over alternative technologies. Existing IR multi-touch devices either use complex custom electronic sensor arrays, or a camera that must be placed relatively distant from the display. FiberBoard is an easily constructed compact IR-sensing multi-touch display. Using an array of optical fibers, reflected IR light is channeled to a camera. As the fibers are flexible the camera is free to be positioned so as to minimize the depth of the device. The resulting display is around one tenth of the depth of a conventional camera-based multi-touch display. We present our prototype, its novel calibration process, and virtual camera software based on existing multi-touch image processing tools.

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  • (2010)1. A Survey on Human Interface Studies Using Image Recognition TechniquesThe Journal of The Institute of Image Information and Television Engineers10.3169/itej.64.179264:12(1792-1796)Online publication date: 2010

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  1. FiberBoard: compact multi-touch display using channeled light

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      cover image ACM Conferences
      ITS '09: Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces
      November 2009
      240 pages
      ISBN:9781605587332
      DOI:10.1145/1731903
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 23 November 2009

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      • (2010)1. A Survey on Human Interface Studies Using Image Recognition TechniquesThe Journal of The Institute of Image Information and Television Engineers10.3169/itej.64.179264:12(1792-1796)Online publication date: 2010

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