DocumentCode :
3051670
Title :
Negative viscosity can enhance learning of inertial dynamics
Author :
Huang, Felix C. ; Patton, James L. ; Mussa-Ivaldi, Ferdinando A.
Author_Institution :
Sensory Motor Performance Program, Rehabilitation Inst. of Chicago, Chicago, IL, USA
fYear :
2009
fDate :
23-26 June 2009
Firstpage :
474
Lastpage :
479
Abstract :
We investigated how learning of inertial load manipulation is influenced by movement amplification with negative viscosity. Using a force-feedback device, subjects trained on anisotropic loads (5 orientations) with free movements in one of three conditions (inertia only, negative viscosity only, or combined), prior to common evaluation conditions (prescribed circular pattern with inertia only). Training with combined-load resulted in lower error (6.89 plusmn 3.25%) compared to inertia-only (8.40 plusmn 4.32%) and viscosity-only (8.17 plusmn 4.13%) according to radial deviation analysis (% of trial mean radius). Combined-Load and inertia-only groups exhibited similar unexpected no-load trials (8.38 plusmn 4.31% versus 8.91 plusmn 4.70% of trial mean radius), which suggests comparable low-impedance strategies. These findings are remarkable since negative viscosity, only available during training, evidently enhanced learning when combined with inertia. Modeling analysis suggests that a feedforward after-effect of negative viscosity cannot predict such performance gains. Instead, results from combined-load training are consistent with greater feedforward inertia compensation along with a small increase in impedance control. The capability of the nervous system to generalize learning from negative viscosity suggests an intriguing new method for enhancing sensorimotor adaptation.
Keywords :
biomechanics; medical robotics; patient rehabilitation; viscosity; combined-load training; feedforward after-effect; force-feedback device; inertia-only; inertial dynamics; inertial load manipulation; learning; negative viscosity; radial deviation analysis; viscosity-only; Anisotropic magnetoresistance; Impedance; Medical control systems; Nervous system; Performance analysis; Predictive models; Rehabilitation robotics; Robot kinematics; Robot sensing systems; Viscosity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Rehabilitation Robotics, 2009. ICORR 2009. IEEE International Conference on
Conference_Location :
Kyoto International Conference Center
ISSN :
1945-7898
Print_ISBN :
978-1-4244-3788-7
Electronic_ISBN :
1945-7898
Type :
conf
DOI :
10.1109/ICORR.2009.5209528
Filename :
5209528
Link To Document :
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