In this paper, we explore how to leverage the ambient wireless traffic that i) generated by uncontrollable IoT devices and ii sensed by ambient noise floor ...
Nov 4, 2018 · In this paper, we explore how to leverage the ambient wireless traffic that i) generated by uncontrollable. IoT devices and ii) sensed by ...
Jan 1, 2018 · EAR: Exploiting Uncontrollable Ambient RF Signals in Heterogeneous Networks for Gesture Recognition ; Type. Conference paper ; Publication.
EAR: Exploiting uncontrollable ambient RF signals in heterogeneous networks for gesture recognition. Z Chi, Y Yao, T Xie, X Liu, Z Huang, W Wang, T Zhu.
Moreover, EAR can recognize fine-grained human gestures with high accuracy even under extremely low traffic rate (i.e., 4%) from uncontrollable ambient signal ...
EAR: Exploiting Uncontrollable Ambient RF Signals in Heterogeneous Networks for Gesture Recognition · Author Picture Zicheng Chi.
EAR: Exploiting uncontrollable ambient RF signals in heterogeneous networks for gesture recognition. Z Chi, Y Yao, T Xie, X Liu, Z Huang, W Wang, T Zhu.
Sharing renewable energy in smart microgrids · EAR: Exploiting Uncontrollable Ambient RF Signals in Heterogeneous Networks for Gesture Recognition · EMF: ...
... EAR: Exploiting Uncontrollable Ambient RF Signals in Heterogeneous Networks for Gesture Recognition.” In ACM SenSys 2018: The 16th ACM Conference on ...
Apr 25, 2024 · EAR: Exploiting Uncontrollable Ambient RF Signals in Heterogeneous Networks for Gesture Recognition. SenSys 2018: 237-249; 2017. [j3]. view.