Publication detail

Human Activity Classification via Millimeter-Wave Channel Level Crossing Estimation

MARŠÁLEK, R. ZÁVORKA, R. POSPÍŠIL, M. VYCHODIL, J. GÖTTHANS, J. BLUMENSTEIN, J.

Original Title

Human Activity Classification via Millimeter-Wave Channel Level Crossing Estimation

Type

conference paper

Language

English

Original Abstract

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

Keywords

millimeter-waves; person activity estimation; level crossing rate

Authors

MARŠÁLEK, R.; ZÁVORKA, R.; POSPÍŠIL, M.; VYCHODIL, J.; GÖTTHANS, J.; BLUMENSTEIN, J.

Released

7. 10. 2021

ISBN

978-1-6654-2469-1

Book

IEEE Microwave Theory and Techniques in Wireless Communications (MTTW) 2021

Pages from

301

Pages to

305

Pages count

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"
}