Inducing Human Motor Adaptation Without Explicit Error Feedback: A Motor Cost Approach

被引:1
作者
Xu, Yangmengfei [1 ]
Crocher, Vincent [1 ]
Fong, Justin [1 ]
Tan, Ying [1 ]
Oetomo, Denny [1 ]
机构
[1] Univ Melbourne, Dept Mech Engn, UoM & Fourier Intelligence Joint Robot Lab, Parkville, Vic 3010, Australia
基金
澳大利亚研究理事会;
关键词
Task analysis; Force; Robots; Kinematics; Null space; Aerospace electronics; Motor drives; Motor adaptation; motor cost; movement; reaching; robotic; REDUCING TRUNK COMPENSATION; STROKE; COORDINATION; RECOVERY; MOVEMENT;
D O I
10.1109/TNSRE.2021.3096516
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Recent studies have shown that motor adaptation is an optimisation process on both kinematic error and effort. This work aims to induce a motor adaption in an experimental setup solely relying on the effort without any explicit kinematic error. In this experiment, the intervention space and adaptation space are decoupled: while the force field only applies to the hand linear velocity, the adaptation is expected to happen in the arm joint null space (i.e. the swivel angle). The primary hypothesis is that such an effort-based force field can induce a movement pattern change in an indirect manner. Secondarily, assuming that this adaptation may be further promoted through subtle prompts to explore the cost space, a variation of the approach with a progressive goal is also tested. Twenty naive subjects were allocated into two groups with slightly different implementations of the force field: one with a Constant Goal (CG) and another one with a Progressively changing Goal (PG). Subjects were asked to perform reaching tasks while attached to a 3D manipulandum. During the intervention, the device applied a resistive viscous force at the subject's hand as a function of the subject's swivel angle to encourage an increase of the latter. Significant increases of the swivel angle of 4.9 degrees and 6.3 degrees were observed for the CG and the PG groups respectively. This result confirms the feasibility of inducing motor adaptation in the redundant joint space by providing a task space intervention without explicit error feedback.
引用
收藏
页码:1403 / 1412
页数:10
相关论文
共 21 条
  • [1] Brokaw Elizabeth B, 2013, IEEE Int Conf Rehabil Robot, V2013, P6650384, DOI 10.1109/ICORR.2013.6650384
  • [2] Retraining of interjoint arm coordination after stroke using robot-assisted time-independent functional training
    Brokaw, Elizabeth B.
    Murray, Theresa
    Nef, Tobias
    Lum, Peter S.
    [J]. JOURNAL OF REHABILITATION RESEARCH AND DEVELOPMENT, 2011, 48 (04) : 299 - 316
  • [3] Learning, Retention, and Slacking: A Model of the Dynamics of Recovery in Robot Therapy
    Casadio, Maura
    Sanguineti, Vittorio
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2012, 20 (03) : 286 - 296
  • [4] Crocher Vincent, 2018, IEEE Robotics and Automation Letters, V3, P2116, DOI 10.1109/LRA.2018.2809605
  • [5] Constraining Upper Limb Synergies of Hemiparetic Patients Using a Robotic Exoskeleton in the Perspective of Neuro-Rehabilitation
    Crocher, Vincent
    Sahbani, Anis
    Robertson, Johanna
    Roby-Brami, Agnes
    Morel, Guillaume
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2012, 20 (03) : 247 - 257
  • [6] Motor adaptation as a greedy optimization of error and effort
    Emken, Jeremy L.
    Benitez, Raul
    Sideris, Athanasios
    Bobrow, James E.
    Reinkensmeyer, David J.
    [J]. JOURNAL OF NEUROPHYSIOLOGY, 2007, 97 (06) : 3997 - 4006
  • [7] Fong JT, 2019, INT C REHAB ROBOT, P977, DOI [10.1109/ICORR.2019.8779430, 10.1109/icorr.2019.8779430]
  • [8] Fong J, 2017, INT C REHAB ROBOT, P771, DOI 10.1109/ICORR.2017.8009341
  • [9] Motor adaptation as a process of reoptimization
    Izawa, Jun
    Rane, Tushar
    Donchin, Opher
    Shadmehr, Reza
    [J]. JOURNAL OF NEUROSCIENCE, 2008, 28 (11) : 2883 - 2891
  • [10] Determining natural arm configuration along a reaching trajectory
    Kang, T
    He, JP
    Tillery, SIH
    [J]. EXPERIMENTAL BRAIN RESEARCH, 2005, 167 (03) : 352 - 361