Using Probabilistic Movement Primitives in Analyzing Human Motion Differences Under Transcranial Current Stimulation
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In: Frontiers in robotics and AI, Vol. 8.2021, 721890, 14.09.2021.
Research output: Contribution to journal › Article › Research › peer-review
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TY - JOUR
T1 - Using Probabilistic Movement Primitives in Analyzing Human Motion Differences Under Transcranial Current Stimulation
AU - Xue, Honghu
AU - Herzog, Rebecca
AU - Berger, Till M.
AU - Bäumer, Tobias
AU - Weissbach, Anne
AU - Rueckert, Elmar
N1 - Publisher Copyright: © Copyright © 2021 Xue, Herzog, Berger, Bäumer, Weissbach and Rueckert.
PY - 2021/9/14
Y1 - 2021/9/14
KW - finger tapping motion
KW - human motion analysis
KW - machine learning
KW - probabilistic movement primitives
KW - transcranial current stimulation
UR - http://www.scopus.com/inward/record.url?scp=85116005473&partnerID=8YFLogxK
U2 - 10.3389/frobt.2021.721890
DO - 10.3389/frobt.2021.721890
M3 - Article
AN - SCOPUS:85116005473
VL - 8.2021
JO - Frontiers in robotics and AI
JF - Frontiers in robotics and AI
SN - 2296-9144
M1 - 721890
ER -