Abstract:
Example devices, systems, and methods described herein extract gesture information from wireless signals. Examples described herein may extract gesture information from changes in the magnitude of the amplitude of the received wireless signals, or portions of the received wireless signals (e.g., channel state information, RSSI information, RCPI information). Time-domain classification of gestures may proceed based on the amplitude changes. In this manner, sufficiently low power operation may be achieved to enable “through-the-pocket” gesture recognition on mobile devices in some examples.
Abstract:
Apparatuses, systems, ambient backscatter transceivers, and methods for modulating a backscatter of an ambient RF signal are described. An example system may include an ambient backscatter transceiver comprising an antenna that is configured to receive a backscattered ambient radio frequency (RF) signal. The ambient backscatter transceiver is configured to demodulate the backscattered ambient RF signal to retrieve first data. The backscattered ambient RF signal is generated by backscattering an ambient RF signal at a first frequency. The ambient RF signal is encoded with modulated to provide second data at a second frequency.
Abstract:
Apparatuses, systems, ambient backscatter transceivers, and methods for modulating a backscatter of an ambient RF signal are described. An example system may include an ambient backscatter transceiver comprising an antenna that is configured to receive a backscattered ambient radio frequency (RF) signal. The ambient backscatter transceiver is configured to demodulate the backscattered ambient RF signal to retrieve first data. The backscattered ambient RF signal is generated by backscattering an ambient RF signal at a first frequency. The ambient RF signal is encoded with modulated to provide second data at a second frequency.