Radar-Based Gesture Classification Using a Variational Auto-Encoder Neural Network

In an embodiment, a method includes: obtaining one or more positional time spectrograms of a radar measurement of a scene comprising an object; and based on the one or more positional time spectrograms and based on a feature embedding of a variational auto-encoder neural network, predicting a gestur...

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Bibliographische Detailangaben
Hauptverfasser: Santra, Avik, Hazra, Souvik, Stadelmayer, Thomas Reinhold
Format: Patent
Sprache:eng
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Zusammenfassung:In an embodiment, a method includes: obtaining one or more positional time spectrograms of a radar measurement of a scene comprising an object; and based on the one or more positional time spectrograms and based on a feature embedding of a variational auto-encoder neural network, predicting a gesture class of a gesture performed by the object.