DocumentCode :
60124
Title :
The Effect of Haptic Guidance on Learning a Hybrid Rhythmic-Discrete Motor Task
Author :
Marchal-Crespo, Laura ; Bannwart, Mathias ; Riener, Robert ; Vallery, Heike
Author_Institution :
Sensory-Motor Syst. (SMS) Lab., ETH Zurich, Zurich, Switzerland
Volume :
8
Issue :
2
fYear :
2015
fDate :
April-June 1 2015
Firstpage :
222
Lastpage :
234
Abstract :
Bouncing a ball with a racket is a hybrid rhythmic-discrete motor task, combining continuous rhythmic racket movements with discrete impact events. Rhythmicity is exceptionally important in motor learning, because it underlies fundamental movements such as walking. Studies suggested that rhythmic and discrete movements are governed by different control mechanisms at different levels of the Central Nervous System. The aim of this study is to evaluate the effect of fixed/fading haptic guidance on learning to bounce a ball to a desired apex in virtual reality with varying gravity. Changing gravity changes dominance of rhythmic versus discrete control: The higher the value of gravity, the more rhythmic the task; lower values reduce the bouncing frequency and increase dwell times, eventually leading to a repetitive discrete task that requires initiation and termination, resembling target-oriented reaching. Although motor learning in the ball-bouncing task with varying gravity has been studied, the effect of haptic guidance on learning such a hybrid rhythmic-discrete motor task has not been addressed. We performed an experiment with thirty healthy subjects and found that the most effective training condition depended on the degree of rhythmicity: Haptic guidance seems to hamper learning of continuous rhythmic tasks, but it seems to promote learning for repetitive tasks that resemble discrete movements.
Keywords :
control engineering computing; handicapped aids; haptic interfaces; medical robotics; virtual reality; ball-bouncing task; central nervous system; discrete impact event; haptic guidance; hybrid rhythmic-discrete motor task; motor learning; robotic mechanism; virtual reality; Elbow; Fading; Gravity; Haptic interfaces; Robots; Training; Trajectory; Haptic guidance; fading guidance; hybrid rhythmic-discrete task; motor learning;
fLanguage :
English
Journal_Title :
Haptics, IEEE Transactions on
Publisher :
ieee
ISSN :
1939-1412
Type :
jour
DOI :
10.1109/TOH.2014.2375173
Filename :
6967807
Link To Document :
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