SymmetriSense
| Autor: | Yu Gu, Chungkuk Yoo, Inseok Hwang, Eric J. Rozner, Robert F. Dickerson |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Surface (mathematics)
Interactivity Computer science Human–computer interaction Computer graphics (images) 05 social sciences 0202 electrical engineering electronic engineering information engineering 020207 software engineering 0501 psychology and cognitive sciences 02 engineering and technology Reflection (computer graphics) 050107 human factors |
| Zdroj: | CHI |
| DOI: | 10.1145/2858036.2858286 |
| Popis: | 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 sub-centimeter 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. |
| Databáze: | OpenAIRE |
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