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Detail publikačního výsledku
MARŠÁLEK, R.; ZÁVORKA, R.; POSPÍŠIL, M.; VYCHODIL, J.; GÖTTHANS, J.; BLUMENSTEIN, J.
Originální název
Human Activity Classification via Millimeter-Wave Channel Level Crossing Estimation
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
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
Anglický abstrakt
Klíčová slova
millimeter-waves; person activity estimation; level crossing rate
Klíčová slova v angličtině
Autoři
Rok RIV
2022
Vydáno
07.10.2021
ISBN
978-1-6654-2469-1
Kniha
IEEE Microwave Theory and Techniques in Wireless Communications (MTTW) 2021
Strany od
301
Strany do
305
Strany počet
5
BibTex
@inproceedings{BUT174099, author="Roman {Maršálek} and Radek {Závorka} and Martin {Pospíšil} and Josef {Vychodil} and Jakub {Götthans} and Jiří {Blumenstein}", title="Human Activity Classification via Millimeter-Wave Channel Level Crossing Estimation", booktitle="IEEE Microwave Theory and Techniques in Wireless Communications (MTTW) 2021", year="2021", pages="301--305", isbn="978-1-6654-2469-1" }