Publisher DOI: 10.1109/RWS55624.2023.10046325
Title: Out-of-distribution detection for radar-based gesture recognition using metric-learning
Language: English
Authors: Stadelmayer, Thomas 
Servadei, Lorenzo 
Santra, Avik 
Weigel, Robert 
Lurz, Fabian 
Keywords: FMCW radar; hand gesture recognition; metric learning; out-of-distribution detection
Issue Date: Jan-2023
Publisher: IEEE
Source: IEEE Radio and Wireless Symposium, RWS 2023: 44-47 (2023-01)
Abstract (english): 
The paper addresses the question how and to what extent metric learning can be beneficial for reducing the false alarm rate in radar-based hand gesture recognition systems. To this end, we evaluate different metric learning approaches for out-of-distribution or unknown motion detection. We found that metric learning can help to significantly increase the out-of-distribution capabilities of the network. We further investigated what conditions must be met for metric learning to work well, and found that the composition of the data set for known gestures has a large influence on the out-of-distribution detection rate.
Conference: IEEE Radio and Wireless Symposium, RWS 2023 
ISBN: 978-1-6654-9344-4
Institute: Hochfrequenztechnik E-3 
Document Type: Chapter/Article (Proceedings)
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