End-to-End Learning for Human Pose Estimation from Raw Millimeter Wave Radar Data

Müller J, Krauß D, Engel L, Vossiek M, Eskofier B, Dorschky E (2024)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2024

Authors with CRIS profile

Jonas Müller Machine Learning and Data Analytics Lab Daniel Krauß Machine Learning and Data Analytics Lab Lukas Engel Lehrstuhl für Hochfrequenztechnik (LHFT) Martin Vossiek Lehrstuhl für Hochfrequenztechnik (LHFT) Björn Eskofier Machine Learning and Data Analytics Lab Eva Dorschky Machine Learning and Data Analytics Lab

Additional Organisation(s)

Sonderforschungsbereich 1483/1 Empathokinästhetische Sensorik – Sensortechniken und Datenanalyseverfahren zur empathokinästhetischen Modellbildung und Zustandsbestimmung (EmpkinS)

How to cite

APA:

Müller, J., Krauß, D., Engel, L., Vossiek, M., Eskofier, B., & Dorschky, E. (2024). End-to-End Learning for Human Pose Estimation from Raw Millimeter Wave Radar Data. In Proceedings of the Asilomar Conference on Signals, Systems, and Computers.

MLA:

Müller, Jonas, et al. "End-to-End Learning for Human Pose Estimation from Raw Millimeter Wave Radar Data." Proceedings of the Asilomar Conference on Signals, Systems, and Computers 2024.

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