Automated Radar Data Labeling using MoveNet for Human Gesture Recognition

Maiwald T, Gabsteiger J, Weigel R, Lurz F (2024)

Publication Status: Accepted

Publication Type: Conference contribution, Conference Contribution

Future Publication Type: Conference contribution

Publication year: 2024

Event location: Taipei, Taiwan

URI: https://ieeexplore.ieee.org/document/10439908

DOI: 10.1109/APMC57107.2023.10439908

Abstract

Integrated radar sensors constitute an emerging technology used from smart home to autonomous driving applications. In combination with machine learning for radar data signal processing, they experience increasing popularity and are heavily investigated. These methods however need huge amounts of labeled training data to perform well in realistic scenarios, which is time consuming and cost intensive. To increase data acquisition speed, this paper presents a system using a fast computer vision model for automated radar data labeling. It is capable of generating 10 labeled radar data frames per second. To demonstrate the abilities it is used for human gesture recognition.

Authors with CRIS profile

Timo Maiwald Lehrstuhl für Technische Elektronik (LTE) Jasmin Gabsteiger Lehrstuhl für Technische Elektronik (LTE) Robert Weigel Lehrstuhl für Technische Elektronik (LTE)

Additional Organisation(s)

FAU Profilzentrum Licht.Materie.Quantentechnologien (FAU LMQ)

Related research project(s)

Embedded Machine Learning (eMiL) Oct. 1, 2021 - Sept. 30, 2024

Involved external institutions

Technische Universität Hamburg-Harburg (TUHH) DE Germany (DE)

How to cite

APA:

Maiwald, T., Gabsteiger, J., Weigel, R., & Lurz, F. (2024). Automated Radar Data Labeling using MoveNet for Human Gesture Recognition. In Proceedings of the 2023 Asia-Pacific Microwave Conference (APMC). Taipei, Taiwan.

MLA:

Maiwald, Timo, et al. "Automated Radar Data Labeling using MoveNet for Human Gesture Recognition." Proceedings of the 2023 Asia-Pacific Microwave Conference (APMC), Taipei, Taiwan 2024.

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