English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Recent research has demonstrated new capabilities in radio frequency (RF)sensing that apply to health care, smart home, and security applications.However, previous work in RF sensing requires heavy utilization of the radiospectrum, for example, transmitting thousands of WiFi packets per second. Inthis paper, we present a device-free human sensing system based on receivedsignal strength (RSS) measurements from a low-cost single carrier narrowbandradio transceiver. We test and validate its performance in three differentapplications: real-time heart rate monitoring, gesture recognition, and humanspeed estimation. The challenges in these applications stem from the very lowsignal-to-noise ratio and the use of a single-dimensional measurement of thechannel. We apply a combination of linear and non-linear filtering, andtime-frequency analysis, and develop new estimators to address the challengesin the particular applications. Our experimental results indicate that RFsensing based on single-carrier magnitude measurements performs nearly as wellas the state-of-the-art while utilizing three orders of magnitude lessbandwidth.

Save Our Spectrum: Contact-Free Human Sensing Using Single Carrier Radio