Energy-harvesting computers eschew tethered power and batteries by harvesting energy from their environment.
This paper presents the NFC-WISP, which is a programmable, sensing and computationally enhanced platform designed to explore new RFID enabled sensing and user interface applications.
In this paper, we propose an unexplored type of wireless power transfer system based on electromagnetic cavity resonance.
This paper proposes using the electromagnetic resonant modes of a hollow metallic structure to provide wireless power to small receivers contained anywhere inside.
This work will show both theoretically and through experimentation that using high Q coils in the over-coupled regime supports extension of read range in near field RFID systems by 81% or more compared to the next best impedance matching strategies.
In this work, we present a hybrid computer vision and RFID system that uses a novel reverse synthetic aperture technique to recover the relative motion paths of an RFID tags worn by people and correlate that to physical motion paths of individuals as measured with a 3D depth camera.
We describe techniques that allow inexpensive, ultra-thin, battery-free Radio Frequency Identification (RFID) tags to be turned into simple paper input devices.
In this work, we show how to achieve low-latency manipulation and movement sensing with off-the-shelf RFID tags and readers.
We present a low cost method for extracting the EM-ID from a device along with a new classification and ranking algorithm that is capable of identifying minute differences in the EM signatures.
We propose the Energy-interference-free Debugger, a hardware and software platform for monitoring and debugging intermittent systems without adversely effecting their energy state.
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