Air-writing recognition system for Persian numbers with a novel classifier
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/content/pdf/10.1007/s00371-019-01717-3.pdf
Reference33 articles.
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3. Kumar, P., Saini, R., Behera, S.K., Dogra, D.P.: Real-time recognition of sign language gesture and air-writing using leap motion. In: 2017 Fifteenth IAPR International Conference on Machine Vision Applications, Nagoya, Japan (2017). https://doi.org/10.23919/MVA.2017.7986825
4. Zeng, W., Wang, C., Wang, Q.: Hand gesture recognition using Leap Motion via deterministic learning. Multimed. Tools Appl. 77(21), 28185–28206 (2018). https://doi.org/10.1007/s11042-018-5998-1
5. Agrawal, S., Constandache, I., Gaonkar, S., Roy Choudhury, R., Caves, K., Deruyter, F.: Using mobile phones to write in air. In: MobiSys’11 Proceeding of the 9th International Conference on Mobile Systems, pp. 15–28 (2011). https://doi.org/10.1145/1999995.1999998
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