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

被引:4
作者
Kim, Sangjoon J. J. [1 ,2 ]
Wen, Yue [1 ,2 ]
Ludvig, Daniel [3 ,4 ]
Kucuktabak, Emek Baris [3 ,5 ,6 ]
Short, Matthew R. R. [3 ,4 ]
Lynch, Kevin [6 ,7 ]
Hargrove, Levi
Perreault, Eric J. J.
Pons, Jose L. L. [2 ,8 ,9 ]
机构
[1] Northwestern Univ, Feinberg Sch Med, Legs & Walking Lab, Shirley Ryan AbilityLab, Chicago, IL 60611 USA
[2] Northwestern Univ, Feinberg Sch Med, Dept Phys Med & Rehabil, Chicago, IL 60611 USA
[3] Shirley Ryan AbilityLab, Legs & Walking Lab, Chicago, IL 60611 USA
[4] Northwestern Univ, Dept Biomed Engn, Evanston, IL 60208 USA
[5] Northwestern Univ, Ctr Robot & Biosyst, Evanston, IL 60208 USA
[6] Northwestern Univ, McCormick Sch Engn, Dept Mech Engn, Evanston, IL 60208 USA
[7] Northwestern Univ, Northwestern Inst Complex Syst, Ctr Robot & Biosyst, McCormick Sch Engn, Evanston, IL 60208 USA
[8] Northwestern Univ, Feinberg Sch Med, Dept Mech Engn, Legs & Walking Lab,Shirley Ryan AbilityLab, Chicago, IL 60611 USA
[9] Northwestern Univ, McCormick Sch Engn, Feinberg Sch Med, Dept Biomed Engn, Chicago, IL 60611 USA
基金
美国国家科学基金会;
关键词
Task analysis; Haptic interfaces; Robots; Trajectory; Training; Target tracking; Legged locomotion; Motor learning; haptic rendering; rehabilitation; STIFFNESS; FEEDBACK;
D O I
10.1109/TNSRE.2022.3225759
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
收藏
页码:416 / 425
页数:10
相关论文
共 44 条
  • [1] [Anonymous], 2016, INT J PHYS MED REHAB, V4, P370
  • [2] Effects of Vibrotactile Feedback on Human Learning of Arm Motions
    Bark, Karlin
    Hyman, Emily
    Tan, Frank
    Cha, Elizabeth
    Jax, Steven A.
    Buxbaum, Laurel J.
    Kuchenbecker, Katherine J.
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2015, 23 (01) : 51 - 63
  • [3] Haptic Training: Which Types Facilitate (re)Learning of Which Motor Task and for Whom? Answers by a Review
    Basalp, Ekin
    Wolf, Peter
    Marchal-Crespo, Laura
    [J]. IEEE TRANSACTIONS ON HAPTICS, 2021, 14 (04) : 722 - 739
  • [4] Rowing Simulator Modulates Water Density to Foster Motor Learning
    Basalp, Ekin
    Marchal-Crespo, Laura
    Rauter, Georg
    Riener, Robert
    Wolf, Peter
    [J]. FRONTIERS IN ROBOTICS AND AI, 2019, 6
  • [5] Beckers E. H. F., 2020, SCI REP-UK, V10, P1
  • [6] Haptic Human-Human Interaction Through a Compliant Connection Does Not Improve Motor Learning in a Force Field
    Beckers, Niek
    Keemink, Arvid
    van Asseldonk, Edwin
    van der Kooij, Herman
    [J]. HAPTICS: SCIENCE, TECHNOLOGY, AND APPLICATIONS, PT I, 2018, 10893 : 333 - 344
  • [7] Kinematic determinants of human locomotion
    Borghese, NA
    Bianchi, L
    Lacquaniti, F
    [J]. JOURNAL OF PHYSIOLOGY-LONDON, 1996, 494 (03): : 863 - 879
  • [8] A single robotic session that guides or increases movement error in survivors post-chronic stroke: which intervention is best to boost the learning of a timing task?
    Bouchard, Amy E.
    Corriveau, Helene
    Milot, Marie-Helene
    [J]. DISABILITY AND REHABILITATION, 2017, 39 (16) : 1607 - 1614
  • [9] Che YH, 2016, P IEEE RAS-EMBS INT, P1290, DOI 10.1109/BIOROB.2016.7523809
  • [10] Lower-Limb Robotic Rehabilitation: Literature Review and Challenges
    Diaz, Inaki
    Juan Gil, Jorge
    Sanchez, Emilio
    [J]. JOURNAL OF ROBOTICS, 2011, 2011