Learning on Multistatic Simulation Data for Radar-Based Automotive Gesture Recognition
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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In: IEEE Transactions on Microwave Theory and Techniques ; 70 (2022), 11. - S. 5039-5050. - ISSN 0018-9480. - eISSN 1557-9670
- Classification
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Elektrotechnik, Elektronik
- Keyword
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Gestenerkennung
Convolutional Neural Network
Data Augmentation
- Event
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Veröffentlichung
- (where)
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Ulm
- (who)
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Universität Ulm
- (when)
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2022
- Creator
- DOI
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10.18725/OPARU-46148
- URN
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urn:nbn:de:bsz:289-oparu-46224-9
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:33 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kern, Nicolai
- Aguilar, Julian
- Grebner, Timo
- Meinecke, Benedikt
- Waldschmidt, Christian
- Universität Ulm
Time of origin
- 2022
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Robotic gesture recognition
Signal processing algorithms for gesture recognition using millimeter-wave radar technology
Joint Pedestrian Gesture Recognition and Orientation Estimation from Multistatic Radar Data
Simulation-driven design of smart gloves for gesture recognition
PointNet+LSTM for Target List-based Gesture Recognition with Incoherent Radar Networks
Data Augmentation in Time and Doppler Frequency Domain for Radar-based Gesture Recognition
Vision based robotic gesture recognition
Robust Doppler-Based Gesture Recognition With Incoherent Automotive Radar Sensor Networks
Multi-User Gesture Recognition with Radar Technology
Hand Gesture Recognition using mm-Wave RADAR Technology
High-Precision Automotive Radar Target Simulation
High-Precision Automotive Radar Target Simulation
Robotic gesture recognition
Signal processing algorithms for gesture recognition using millimeter-wave radar technology
Joint Pedestrian Gesture Recognition and Orientation Estimation from Multistatic Radar Data
Simulation-driven design of smart gloves for gesture recognition
PointNet+LSTM for Target List-based Gesture Recognition with Incoherent Radar Networks
Data Augmentation in Time and Doppler Frequency Domain for Radar-based Gesture Recognition