Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ronny G. Guendel"'
Autor:
Ingrid Ullmann, Ronny G. Guendel, Nicolas Christian Kruse, Francesco Fioranelli, Alexander Yarovoy
Publikováno v:
IEEE Journal of Microwaves, Vol 3, Iss 3, Pp 938-950 (2023)
Radar-based human motion and activity recognition is currently a topic of great research interest, as the aging population increases and older individuals prefer an independent lifestyle. This technology has a wide range of applications, such as fall
Externí odkaz:
https://doaj.org/article/f5d144c7829a40fda240c6e776d1f3ab
Publikováno v:
IET Radar, Sonar & Navigation, Vol 16, Iss 7, Pp 1144-1161 (2022)
Abstract Continuous Human Activity Recognition (HAR) in arbitrary directions is investigated in this paper using a network of five spatially distributed pulsed Ultra‐Wideband radars. While activities performed continuously and in unconstrained traj
Externí odkaz:
https://doaj.org/article/be49e73bb76d4eba91266164051c0d6e
Autor:
Ronny G. Guendel, Moeness G. Amin
Publikováno v:
IET Radar, Sonar & Navigation. 14:1417-1429
The authors consider radar classifications of activities of daily living, which can prove beneficial in fall detection, analysis of daily routines, and discerning physical and cognitive human conditions. They focus on contiguous motion classification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e4f153ff99d1710ef88fa24119f62e3
https://doi.org/10.1049/iet-rsn.2019.0585
https://doi.org/10.1049/iet-rsn.2019.0585
Autor:
Ronny G. Guendel
Publikováno v:
2020 17th European Radar Conference (EuRAD).
We consider Activities of Daily Living (ADL) as actions that are continuously monitored and cannot easily be separated in time. Both, the micro-Doppler signature and range-map are used to determine transitions from translation (walking) to in-place a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4688f019ce709fa67c9f4d73a60eb771
https://doi.org/10.1109/eurad48048.2021.00061
https://doi.org/10.1109/eurad48048.2021.00061
Publikováno v:
2021 IEEE Radar Conference: Radar on the Move, RadarConf 2021
2021 IEEE Radar Conference
2021 IEEE Radar Conference
Continuous Activities of Daily Living (ADL) recognition in an arbitrary movement direction using five distributed pulsed Ultra-Wideband (UWB) radars in a coordinated network is proposed. Classification approaches in unconstrained activity trajectorie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10754a0ac835a418674247e2af87c1cb
http://resolver.tudelft.nl/uuid:e0252aea-6fd6-407b-a7a6-d627940886f2
http://resolver.tudelft.nl/uuid:e0252aea-6fd6-407b-a7a6-d627940886f2
Publikováno v:
2020 IEEE Radar Conference, RadarConf 2020
In this paper, we investigate the classification of Activities of Daily Living (ADL) by using a pulsed ultra-wideband radar. Specifically, we focus on contiguous activities that can be inseparable in time and share a common transition, such as walkin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da32743a07cf2d4820653a40d2e6cca4
https://doi.org/10.1109/radarconf2043947.2020.9266383
https://doi.org/10.1109/radarconf2043947.2020.9266383
Publikováno v:
IEEE Sensors Journal, 21(6)
Micro-Doppler spectrograms are a conventional data representation domain for movement recognition such as Human Activity Recognition (HAR) or gesture detection. However, they present the problem of time-frequency resolution trade-offs of Short-Time F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::936e5e944beb6f63422eab7ed55444e4
http://resolver.tudelft.nl/uuid:d02c3bbd-f5d9-4f62-b65d-8d038c2eb275
http://resolver.tudelft.nl/uuid:d02c3bbd-f5d9-4f62-b65d-8d038c2eb275
Autor:
Moeness G. Amin, Ronny G. Guendel
We perform classification of Activities of Daily Living (ADL) using a Frequency-Modulated Continuous Waveform (FMCW) radar. In particular, we consider contiguous motions that are inseparable in time. Both the micro-Doppler signature and range-map are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7732037db5a551476f62ee2d5a03d539