The human activity recognition using radio frequency signals

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU148043" target="_blank" >RIV/00216305:26220/23:PU148043 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10109028/authors#authors" target="_blank" >https://ieeexplore.ieee.org/document/10109028/authors#authors</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA57919.2023.10109028" target="_blank" >10.1109/RADIOELEKTRONIKA57919.2023.10109028</a>

Result language
angličtina
Original language name
The human activity recognition using radio frequency signals
Original language description
Human activity recognition (HAR) is an important and growing research area with a wide range of applications, including healthcare, security, and sports. In this study, we classify the various domains of HAR and provide a state-of the-art overview of the approaches used for this task. We also summarize the available RF signal data sources used in HAR and explain the processing and feature engineering of the RF signal data. Finally, the experimental results obtained in our study demonstrate the effectiveness of using Doppler shift patterns extracted from OTFS signal transmissions to recognize different human activities using RF signals.
Czech name
—
Czech description
—

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
RADIOELEKTRONIKA 2023: 2023 33rd International Conference Radioelektronika
ISBN
979-8-3503-9834-2
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
„“-„“
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
neuveden
Event location
Pardubice
Event date
Apr 19, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000990505700006

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