Benutzer: Gast  Login
Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
J. R. Medina; H. Börner; S. Endo; S. Hirche
Titel:
Impedance-based Gaussian Processes for Modeling Human Motor Behavior in Physical and Non-physical Interaction
Abstract:
Objective: Modeling of human motor intention plays an essential role in predictively controlling a robotic system in human-robot interaction tasks. In most machine learning techniques, human motor behavior is modeled as a generic stochastic process. However, the integration of a priori knowledge about underlying system structures can provide insights on otherwise unobservable intrinsic states that yield superior prediction performance and increased generalization capabilities. Methods: We presen...     »
Stichworte:
boerner_pub_sel, boerner_pub, conhumo; hri_endo
Zeitschriftentitel:
IEEE Transactions on Biomedical Engineering
Jahr:
2019
Band / Volume:
66
Jahr / Monat:
2019-02
Heft / Issue:
9
Seitenangaben Beitrag:
2499-2511
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1109/TBME.2018.2890710
WWW:
https://ieeexplore.ieee.org/document/8599006
Verlag / Institution:
IEEE
Print-ISSN:
0018-9294
E-ISSN:
1558-2531
Status:
Verlagsversion / published
Eingereicht (bei Zeitschrift):
13.08.2018
Angenommen (von Zeitschrift):
24.12.2018
Publikationsdatum:
01.09.2019
 BibTeX
Versionen