Design and Implementation of Frequency Domain Feature Extraction Module for Human Motion Recognition

Author:

Zhao Ya-Xin1,Du Ning-Xin2,Fang Zhi-Yi1,Sun Hong-Yu1

Affiliation:

1. Jilin University, Changchun, Jilin, China

2. Northeast Normal University, Changchun, Jilin, China

Publisher

ACM Press

Reference16 articles.

1. B. Lyonnet, C. Ioana, MG. Amin.Human gait classification using microDoppler time-frequency signal representations[C].Radar Conference, 2010, 29(16):915--919.

2. B. Kellogg, V. Talla, and S. Gollakota. Bringing Gesture Recognition To All Devices[C]. Proceedings of the 11th USENIX Symposium on Networked Systems Design and Implementation, 2014:303--316.

3. C Wu, Z Yang, Z Zhou, et al.Non-Invasive Detection of Moving and Stationary Human With WiFi[J].IEEE Journal on Selected Areas in Communications, 2015, 33(11)2329--2342.

4. D. Halperin, W Hu, A. Sheth, and D. Wetherall.Tool release:gathering 802.11n traces with channel state information[J].Acm Sigcomm Computer Communication Review, 2011, 41(1):53--53.

5. F. Adib, Z. Kabelac, D. Katabi, and R.C. Miller.3D Tracking via Body Radio Reflections[C].Proceedings of the 11th USENIX Conference on Networked Systems Design and Implementation, 2014:317--329..

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