Gesture Recognition to Control a Moving Robot With FMCW Radar

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

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Future Publication Type: Conference contribution

Publication year: 2024

Event location: San Antonio, TX, USA

URI: https://ieeexplore.ieee.org/document/10438564

DOI: 10.1109/RWS56914.2024.10438564

Abstract

Gesture recognition with radar sensors experienced great scientific interest in recent years and may become an alternative or supplement technology to camera based computer vision. However, most publications focus on static radars, which is not applicable in case of moving robots, where the radar is attached to the robot itself. This paper presents a system for automated radar data acquisition and labeling in context of radar based gesture recognition, mounted on a moving robot. It is used to collect labeled radar data of 4 different gestures to control the robot. In addition, results of a comparably small CNN, which processes range-Doppler- and range-angle-images, achieving 86 % of evaluation accuracy is presented.

Authors with CRIS profile

Timo Maiwald Lehrstuhl für Technische Elektronik Jasmin Gabsteiger Lehrstuhl für Technische Elektronik Robert Weigel Lehrstuhl für Technische Elektronik

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

Otto-von-Guericke-Universität Magdeburg DE Germany (DE)

How to cite

APA:

Maiwald, T., Gabsteiger, J., Weigel, R., & Lurz, F. (2024). Gesture Recognition to Control a Moving Robot With FMCW Radar. In Proceedings of the 2024 IEEE Radio and Wireless Symposium (RWS). San Antonio, TX, USA.

MLA:

Maiwald, Timo, et al. "Gesture Recognition to Control a Moving Robot With FMCW Radar." Proceedings of the 2024 IEEE Radio and Wireless Symposium (RWS), San Antonio, TX, USA 2024.

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