SymmetriSense: Enabling near-surface interactivity on glossy surfaces using a single commodity smartphone

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Driven to create intuitive computing interfaces throughout our everyday space, various state-of-the-art technologies have been proposed for near-surface localization of a user's finger input such as hover or touch. However, these works require specialized hardware not commonly available, limiting the adoption of such technologies. We present SymmetriSense, a technology enabling near-surface 3-dimensional fingertip localization above arbitrary glossy surfaces using a single commodity camera device such as a smartphone. SymmetriSense addresses the localization challenges in using a single regular camera by a novel technique utilizing the principle of reflection symmetry and the fingertip's natural reflection casted upon surfaces like mirrors, granite countertops, or televisions. SymmetriSense achieves typical accuracies at subcentimeter levels in our localization tests with dozens of volunteers and remains accurate under various environmental conditions. We hope SymmetriSense provides a technical foundation on which various everyday near-surface interactivity can be designed.
Publisher
ACM Special Interest Group on Computer-Human Interaction (SIGCHI)
Issue Date
2016-05
Language
English
Citation

34th Annual Conference on Human Factors in Computing Systems, CHI 2016, pp.5126 - 5137

DOI
10.1145/2858036.2858286
URI
http://hdl.handle.net/10203/313036
Appears in Collection
RIMS Conference Papers
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