Secure RFID Handwriting Recognition–Attacker Can Hear but Cannot Understand
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-19208-1_34
Reference18 articles.
1. Alam, M.S., Kwon, K., Kim, N.: Implementation of a character recognition system based on finger-joint tracking using a depth camera. IEEE Trans. Hum. Mach. Syst. 51(3), 229–241 (2021)
2. Ding, D., Yang, L., Chen, Y., Xue,G.: VibWriter: handwriting recognition system based on vibration signal. In: Proceedings of IEEE SECON, pp. 1–9 (2021)
3. Chen, M., AlRegib, G., Juang, B.-H.: Air-writing recognition–part I: modeling and recognition of characters, words, and connecting motions. IEEE Trans. Hum. Mach. Syst. 46(3), 403–413 (2015)
4. Wang, H., Gong, W.: RF-pen: practical real-time RFID tracking in the air. IEEE Trans. Mobile Comput. 20(11), 3227–3238 (2020)
5. Wang, J., Vasisht, D., Katabi, D.: RF-IDraw: virtual touch screen in the air using RF signals. vol. 44, pp. 235–246 (2014)
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