DocumentCode
3685474
Title
Difficulty-dependent trajectory planning during target-reaching movements
Author
Yuan Yang;Rong Song
Author_Institution
School of Engineering, Sun Yat-sen University, Guangzhou, Guang Dong, China
fYear
2015
Firstpage
6675
Lastpage
6678
Abstract
This study explored how the difficulty of a task influenced motor control during target-reaching movements. During the experiment, twelve healthy subjects were recruited to perform target-reaching tasks with three different target sizes over three distances as quickly and accurately as possible using their index fingers. There were nine levels of difficulty of the tasks, with a combination of three target sizes and three distances, and the difficulty of the tasks could be measured by Fitts´ law in terms of the index of difficulty (ID). The kinematic variables to represent movement performance were peak velocity (Vpeak), percentage time to peak velocity (PTPV), normalized jerk score (NJS) and fApEn (fuzzy approximate entropy). The results showed both distance and target size significantly influenced these parameters with the exception of the effect of the target size on Vpeak. Vpeak and fApEn were only linearly related to the ID when the individual target size across movement distances was considered. And a linear relationship between PTPV or NJS and ID was found. The increase in the difficulty of the task could lead to a shift from feedforward to feedback control by the central nerve system. The findings in this study contribute to an understanding of the underlying motor control during target reaching movements and can be applied as a quantitative method of evaluation in the clinic in the future.
Keywords
"Kinematics","Indexes","Correlation","Motor drives","Feedback control","Standards","Biomechanics"
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN
1094-687X
Electronic_ISBN
1558-4615
Type
conf
DOI
10.1109/EMBC.2015.7319924
Filename
7319924
Link To Document