Robotic Assisted Hand for Learning a Timing-based Task by the Elderly - Preliminary Results
Amy E. Bouchard, Marie-Helene Milot
2014
Abstract
With age, the timing of movement is impaired and can have a detrimental impact on functional performance. To improve motor learning, two robotic trainings, haptic guidance (HG) and error amplification (EA), could help. Some studies have found that learning is greater when demonstrating the correct movement (HG), while other studies have shown that enhancing performance error (EA) drives faster learning. Up to now, no studies have evaluated and compared HG and EA for improving the timing of movement with age. Eleven healthy seniors (mean age 68+/- 4 years) learned to play a computerized pinball-like game with their right hand, where they had to hit as many targets as possible by triggering a wrist flexion at the proper timing. This flexion caused the robot to fire, rotating the flipper, and causing the falling ball to hit a randomly positioned target. HG and EA were administered randomly. Before and after each training, a baseline and a retention condition were given and their respective timing errors were analyzed. The preliminary results showed that subjects tended to improve their timing error following HG only (p=0.09). It is possible that EA training may have been too challenging for the motor system, preventing learning.
References
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Paper Citation
in Harvard Style
Bouchard A. and Milot M. (2014). Robotic Assisted Hand for Learning a Timing-based Task by the Elderly - Preliminary Results . In - NEUROTECHNIX, ISBN , pages 0-0
in Bibtex Style
@conference{neurotechnix14,
author={Amy E. Bouchard and Marie-Helene Milot},
title={Robotic Assisted Hand for Learning a Timing-based Task by the Elderly - Preliminary Results},
booktitle={ - NEUROTECHNIX,},
year={2014},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={},
}
in EndNote Style
TY - CONF
JO - - NEUROTECHNIX,
TI - Robotic Assisted Hand for Learning a Timing-based Task by the Elderly - Preliminary Results
SN -
AU - Bouchard A.
AU - Milot M.
PY - 2014
SP - 0
EP - 0
DO -