Using Probabilistic Movement Primitives in Analyzing Human Motion Differences Under Transcranial Current Stimulation

Honghu Xue; Rebecca Herzog; Till M. Berger; Tobias Bäumer; Anne Weissbach; Elmar Rueckert

doi:10.3389/frobt.2021.721890

Using Probabilistic Movement Primitives in Analyzing Human Motion Differences Under Transcranial Current Stimulation

Honghu Xue, Rebecca Herzog, Till M. Berger, Tobias Bäumer, Anne Weissbach, Elmar Rueckert

Lehrstuhl für Cyber Physical Systems (190)

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Begutachtung

Originalsprache	Englisch
Aufsatznummer	721890
Seitenumfang	18
Fachzeitschrift	Frontiers in robotics and AI
Jahrgang	8.2021
DOIs	https://doi.org/10.3389/frobt.2021.721890
Publikationsstatus	Veröffentlicht - 14 Sept. 2021

Bibliographische Notiz

Funding Information:
The project receives funding from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – No 430054590 (TRAIN, to ER) and (DFG, WE 5919/2-1 to AW) and the Else Kröner-Fresenius Foundation (2018_A55) to AW. The authors also show great appreciation to Julius Verrel for the code for data post-processing parts, Nils Rottmann and Ralf Bruder for their suggestions on the data post processing, and Jingxuan Zhou for further proof-reading of the manuscript.

Publisher Copyright:
© Copyright © 2021 Xue, Herzog, Berger, Bäumer, Weissbach and Rueckert.

Zugriff auf Dokument

10.3389/frobt.2021.721890

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