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)

Universität Lübeck
University Medical Center Schleswig-Holstein

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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Verknüpfung zur Publikation in Scopus

Dieses zitieren

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