Accurate Acoustic Based Gesture Classification with Zero Start-Up Cost-Reference-Cited by-同舟云学术

Accurate Acoustic Based Gesture Classification with Zero Start-Up Cost

Published:2018 Issue: Volume: Page:44-58
ISSN:0302-9743
Container-title:Algorithms and Architectures for Parallel Processing
language:
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Author:

Ai Haojun,Han Liangliang,Wang Yifeng,Liao Liang

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-05057-3_4

Reference21 articles.

1. Ai, H., Men, Y., Han, L., Li, Z., Liu, M.: High precision gesture sensing via quantitative characterization of the doppler effect. In: 2016 23rd International Conference on Pattern Recognition (ICPR), pp. 973–978. IEEE (2016)

2. Asadzadeh, P., Kulik, L., Tanin, E.: Gesture recognition using RFID technology. Pers. Ubiquit. Comput. 16(3), 225–234 (2012)

3. Aumi, M.T.I., Gupta, S., Goel, M., Larson, E., Patel, S.: Doplink: using the doppler effect for multi-device interaction. In: Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 583–586. ACM (2013)

4. IFIP — The International Federation for Information Processing;N Bevan,1997

5. Cabral, M.C., Morimoto, C.H., Zuffo, M.K.: On the usability of gesture interfaces in virtual reality environments. In: Proceedings of the 2005 Latin American Conference on Human-Computer Interaction, pp. 100–108. ACM (2005)

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