shah hajissa patton (2018) tNSRE 08361891.pdf (1.58 MB)
Download fileReshaping movement distributions with limit-push robotic training
journal contribution
posted on 2021-08-16, 16:32 authored by AK Shah, I Sharp, E Hajissa, James PattonJames PattonHigh-cost situations need to be avoided. However, occasionally, cost may only be learned by experience. Here, we tested whether an artificially induced unstable and invisible high-cost region, a 'limit-push' force field, might reshape people's motion distributions. Healthy and neurologically impaired (chronic stroke) populations attempted 600 interceptions of a projectile while holding a robot handle that could render forces to the hand. The 'limit-push,' in the middle of the study, pushed the hand outward unless the hand stayed within a box-shaped region. Both healthy and some stroke survivors adapted through selection of safer actions, avoiding the high-cost regions (outside the box); they stayed more inside and even kept a greater distance from the box's boundaries. This was supported by other measures that showed subjects distributed their hand movements within the box more uniformly. These effects lasted a very short time after returning to the no-force condition. Although most robotic teaching approaches focus on shifting the mean, this limit-push treatment demonstrates how both mean and variance might be reshaped in motor training and neurorehabilitation.
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Citation
Shah, A. K., Sharp, I., Hajissa, E.Patton, J. L. (2018). Reshaping movement distributions with limit-push robotic training. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(11), 2134-2144. https://doi.org/10.1109/TNSRE.2018.2839565Publisher
Institute of Electrical and Electronics Engineers (IEEE)Language
- en
issn
1534-4320Usage metrics
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Movement variabilityobstacle avoidancestrokesensory motor learningmotor planningAdultAlgorithmsCohort StudiesFemaleHandHealthy VolunteersHumansMaleMiddle AgedMovementPsychomotor PerformanceRecovery of FunctionRoboticsStrokeStroke RehabilitationVirtual RealityYoung AdultBiomedical EngineeringElectrical and Electronic Engineering