Federated Action Recognition for Smart Worker Assistance Using FastPose

Abstract

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Publication
Federated Action Recognition for Smart Worker Assistance Using FastPose

Citation: V. Hegiste, V. Goyal, T. Legler, M. Ruskowski. “Federated Action Recognition for Smart Worker Assistance Using FastPose.” In: Proceedings of the 2025 3rd International Conference on Federated Learning Technologies and Applications (FLTA). IEEE, 2025. DOI: 10.1109/FLTA67013.2025.11336524.

MSc. Tatjana Legler
MSc. Tatjana Legler
Researcher

Tatjana Legler studied mechanical engineering at the Technical University of Kaiserslautern. She wrote her master thesis on “Optimization of automated visual inspection of common rails using neural networks”. She has been working as a research assistent at the Chair of Machine Tools and Control Systems since November 2017.

Prof. Dr.-Ing. Martin Ruskowski
Prof. Dr.-Ing. Martin Ruskowski
Head of Chair Department of Machine Tools and Control Systems (WSKL)

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