Using Microwave Simulations for the Generation of Radar Data for Gesture and Activity Recognition: Potential and Challenges for Real-World Applications

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Date

2024

Authors

Kern, Nicolai
Schoeder, Pirmin
Aguilar, Julian
Waldschmidt, Christian

Journal Title

Journal ISSN

Volume Title

Publication Type

Wissenschaftlicher Artikel

DOI

Published in

IEEE microwave magazine, 2024

Abstract

Description

Faculties

Fakultät für Ingenieurwissenschaften, Informatik und Psychologie

Institutions

Institut für Mikrowellentechnik

Citation

DFG Project uulm

EU Project uulm

Other projects uulm

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Is version of

Has version

Supplement to

Supplemented by

Has erratum

Erratum to

Has Part

Part of

DOI external

10.1109/mmm.2024.3444528

DOI external

Institutions

Periodical

Degree Program

DFG Project THU

EU Project THU

Other projects THU

Series

Conference Name

Conference Place

Keywords

Training, Accuracy, Predictive models, Data models, Radar applications, Quality assessment, Convolutional neural networks, Smart devices, Machine learning, Intelligent sensors, Millimeter wave radar, DDC 620 / Engineering & allied operations