Human Activity Classification via Millimeter-Wave Channel Level Crossing Estimation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU142237" target="_blank" >RIV/00216305:26220/21:PU142237 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Human Activity Classification via Millimeter-Wave Channel Level Crossing Estimation
Original language description
Besides their main purpose - the information transfer between two points - the wireless radio frequency transmissions may provide some additional information about the users, such as detection of gestures, accidents or vital signs. The general trend is that to provide these side information, systems do not require any important hardware changes nor any dedicated waveform transmissions. This paper is a preliminary study how a person activity can be detected out of the millimeter-wave channel frequency characteristics monitoring, without need for a complex machine learning method implemented. Basic idea is to monitor the frequency and time variations of wireless channel, expressed with channel level crossing rate and its variations over time
Czech name
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Czech description
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Project
<a href="/en/project/VJ01030008" target="_blank" >VJ01030008: Passive crowd monitoring system with privacy by design</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IEEE Microwave Theory and Techniques in Wireless Communications (MTTW) 2021
ISBN
978-1-6654-2469-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
301-305
Publisher name
Neuveden
Place of publication
neuveden
Event location
Riga, Latvia
Event date
Oct 7, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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