Wi-Fi Gesture Recognition Technology Based on Time-Frequency Features (Workshop)

Author:

Tian Zengshan,Ren Mengtian,Jiang Qing,Zhang Xiaoya

Publisher

Springer International Publishing

Reference14 articles.

1. Zhou, Y., Jiang, G., Lin, Y.: A novel finger and hand pose estimation technique for real-time hand gesture recognition. Pattern Recogn. 49, 102–114 (2016)

2. Sturman, D.J., Zeltzer, D.: A survey of glove-based input. IEEE Comput. Graphics Appl. 14(1), 30–39 (1994)

3. He, Y., Yang, J., Shao, Z., Li, Y.: Salient feature point selection for real time RGB-D hand gesture recognition. In: 2017 IEEE International Conference on Real-time Computing and Robotics (RCAR), pp. 103–108. IEEE (2017)

4. Kellogg, B., Talla, V., Gollakota, S.: Bringing gesture recognition to all devices. In: 11th fUSENIXg Symposium on Networked Systems Design and Implementation (fNSDIg 2014), pp. 303–316 (2014)

5. Wang, X., Sun, G., Han, D., Zhang, T.: Data glove gesture recognition based on an improved neural network. In: Proceedings of the 29th Chinese Control Conference, pp. 2434–2437. IEEE (2010)

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