We present multiscatter, a novel backscatter design that can simultaneously work with multiple
excitation signals for personal IoT sensors. Specifically, we show for the first time that the …

Owing to the nature of ultra-low-power and extremely low deployment as well as maintenance
costs, ambient backscatter technology is promising to become a prominent choice of …

In this paper, we investigate the use of human gait micro-Doppler features for personnel
recognition with a deep learning approach. Compared with conventional methods for radar-…

WiFi backscatter communication has required unwanted constraints on either excitations or
receivers since its inception eight years ago. We present Chameleon, the first native WiFi …

Throughput is one of the key performance indicators in backscatter communication systems.
Existing works either have limited throughput or modify the transmitter or receiver to fit the …

We present CAB, a content-agnostic backscatter system that can demodulate both tag and
ambient data from ambient backscattered WiFi alone. In contrast to prior ambient backscatter …

We present multiscatter, a novel battery-free backscatter design that can simultaneously work
with multiple excitation signals for personal IoT sensors. Specifically, we show for the first …

Backscatter is one of the important techniques of IoTs as it can offer low-cost and low-energy
wireless communication. With the help of widely available ambient signals, backscatter …

… The work of Longzhi Yuan and Yuguang Fang was supported in part by Hong Kong SAR …
Longzhi Yuan and Yuguang Fang are with the Department of Computer Science, City …

Traffic sign recognition systems play a crucial role in assisting drivers to make informed
decisions while driving. However, due to the heavy reliance on deep learning technologies, …