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Effect of Dyadic Haptic Collaboration on Ankle Motor Learning and Task Performance.

Authors :
Kim, Sangjoon J.
Wen, Yue
Ludvig, Daniel
Kucuktabak, Emek Baris
Short, Matthew R.
Lynch, Kevin
Hargrove, Levi
Perreault, Eric J.
Pons, Jose L.
Source :
IEEE Transactions on Neural Systems & Rehabilitation Engineering; 2023, Vol. 31, p416-425, 10p
Publication Year :
2023

Abstract

Optimizing skill acquisition during novel motor tasks and regaining lost motor functions have been the interest of many researchers over the past few decades. One approach shown to accelerate motor learning involves haptically coupling two individuals through robotic interfaces. Studies have shown that an individual’s solo performance during upper-limb tracking tasks may improve after haptically-coupled training with a partner. In this study, our goal was to investigate whether these findings can be translated to lower-limb motor tasks, more specifically, during an ankle position tracking task. Using one-degree-of-freedom ankle movements, pairs of participants (i.e., dyads) tracked target trajectories independently. Participants alternated between tracking trials with and without haptic coupling, achieved by rendering a virtual spring between two ankle rehabilitation robots. In our analysis, we compared changes in task performance across trials while training with and without haptic coupling. The tracking performance of both individuals (i.e., dyadic task performance) improved during haptic coupling, which was likely due to averaging of random errors of the dyadic pair during tracking. However, we found that dyadic haptic coupling did not lead to faster individual learning for the tracking task. These results suggest that haptic coupling between unimpaired individuals may not be an effective method of training ankle movements during a simple, one-degree-of-freedom task. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15344320
Volume :
31
Database :
Complementary Index
Journal :
IEEE Transactions on Neural Systems & Rehabilitation Engineering
Publication Type :
Academic Journal
Accession number :
161715041
Full Text :
https://doi.org/10.1109/TNSRE.2022.3225759