Apr 9, 2018 · In this paper, we investigate the use of micro-Doppler (MD) signatures retrieved from a low-power radar device to identify a set of persons ...
In this paper, we investigate the use of micro-Doppler (MD) signatures retrieved from a low-power radar device to identify a set of persons based on their gait ...
This paper investigates the use of micro-Doppler signatures retrieved from a low-power radar device to identify a set of persons based on their gait ...
In this paper, we investigate the use of micro-Doppler (MD) signatures retrieved from a low-power radar device to identify a set of persons based on their gait ...
Indoor person identification using a low-power FMCW radar ; Authors. Vandersmissen, Baptist; Knudde, Nicolas; Jalalvand, Azarakhsh; Couckuyt, Ivo; Bourdoux, ...
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Indoor Person Identification Using a Low-Power FMCW Radar. https://doi.org ... Indoor human activity recognition using high-dimensional sensors and deep neural ...
We provide the fully annotated IDRad data set, constructed for the identification of a set of persons based on their gait characteristics.
In this paper, we propose a method of identifying human motions, such as standing, walking, running, and crawling, using a millimeter wave radar sensor.
An indoor human detection method that utilizes random forest to process micro-Doppler signatures and a single pair of TX/RX unit is proposed.
Missing: Identification | Show results with:Identification
In this paper a first time right 24 GHz FMCW radar transceiver is presented. The MMIC has a low power consumption of 86 mW and an output power of -10 dBm.
Missing: Identification | Show results with:Identification