βΉ ΰ£ͺ οΉποΉποΉβΉ ΰ£ͺ Λ
[ π π¦ π’ π¦ ] [ πΉ β‘οΈ π₯ ]
π₯π₯π₯π₯ β‘οΈ π―
π₯ + πΉ β‘ ποΈ π
πΉ β‘ π ποΈ
π» β‘ JS β‘ π¨ π¦β¬
We used the $Q (Q Dollar) stroke recognizer to recognize drawn shapes.
Vatavu, R.-D., Anthony, L. and Wobbrock, J.O. (2018). $Q: A super-quick, articulation-invariant stroke-gesture recognizer for low-resource devices. Proceedings of the ACM Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '18). Barcelona, Spain (September 3-6, 2018). New York: ACM Press. Article No. 23. https://dl.acm.org/citation.cfm?id=3229434.3229465
Copyright (c) 2018-2019, Nathan Magrofuoco, Jacob O. Wobbrock, Radu-Daniel Vatavu, and Lisa Anthony. All rights reserved.