Developing a Gesture Library for Working in a Virtual Environment
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-87595-4_2
Reference9 articles.
1. Fok, K.Y., Ganganath, N., Cheng, C.T., Chi, K.T.: A real-time ASL recognition system using leap motion sensors. In: International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, pp. 411–414. IEEE (2015)
2. Kumar, P., Saini, R., Behera, S.K., Dogra, D.P., Roy, P.P.: Real-time recognition of sign language gestures and air-writing using leap motion. In: Fifteenth IAPR International Conference on Machine Vision Applications (MVA), pp. 157–160. IEEE (2017)
3. Lecture Notes in Computer Science;A Chan,2015
4. Funes, M.M., Trojahn, T.H., Fortes, R.P.M., Goularte, R.: Gesture4All: a framework for 3D gestural interaction to improve accessibility of Web videos. In: Proceedings of the 33rd Annual ACM Symposium on Applied Computing, pp. 2151–2158 (2018)
5. Scratch Leap Motion Extension. https://khanning.github.io/scratch-leapmotion-extension/. Accessed 18 Feb 2021
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