Streamlined and accurate gesture recognition with Penny Pincher

Author:

Taranta Eugene M.,Vargas Andrés N.,LaViola Joseph J.

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering

Reference25 articles.

1. Wobbrock JO, Wilson AD, Li Y. Gestures without libraries, toolkits or training: A $1 recognizer for user interface prototypes. In: Proceedings of the 20th Annual ACM Symposium on user interface software and technology. UIST׳07; New York, NY, USA: ACM. ISBN 978-1-59593-679-0; 2007. p. 159–68. URL: http://dx.doi.org/10.1145/1294211.1294238

2. Anthony L, Wobbrock JO. A lightweight multistroke recognizer for user interface prototypes. In: Proceedings of graphics interface 2010. GI׳10; Toronto, Ontorio, Canada, Canada: Canadian Information Processing Society. ISBN 978-1-56881-712-5; 2010. p. 245–52.

3. Anthony L, Wobbrock JO. $n-protractor: A fast and accurate multistroke recognizer. In: Proceedings of Graphics Interface 2012. GI׳12; Toronto, Ontorio, Canada, Canada: Canadian Information Processing Society. ISBN 978-1-4503-1420-6; 2012. p. 117–120. URL: 〈http://dl.acm.org/citation.cfm?id=2305276.2305296〉

4. Herold J, Stahovich TF. The 1¢ recognizer: A fast, accurate, and easy-to-implement handwritten gesture recognition technique. In: Proceedings of the international symposium on sketch-based interfaces and modeling. SBIM׳12; Aire-la-Ville, Switzerland, Switzerland: Eurographics Association. ISBN 978-3-905674-42-2; 2012. p. 39–46. URL: 〈http://dl.acm.org/citation.cfm?id=2331067.2331074〉

5. Li Y. Protractor: A fast and accurate gesture recognizer. In: Proceedings of the SIGCHI conference on human factors in computing systems. CHI׳10; New York, NY, USA: ACM. ISBN 978-1-60558-929-9; 2010. p. 2169–72. 〈http://doi.acm.org/10.1145/1753326.1753654〉.

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