Position and Velocity Controls in Children and Adults during a Wrist-Tracking Task

Author:

Kim Jihun1,Lee Jongho2,Kim Jaehyo1

Affiliation:

1. Handong Global University

2. Komatsu University

Abstract

Abstract

Children's motor control skills develop with age, but it is unclear when the development begins and ends. To identify those critical points, we conducted a wrist-tracking task and examined position and velocity controls in children and adults. The task consisted of a visible circular orbit, a tracer rotating at a constant speed of 0.1 Hz, and target-visible and -invisible subsections. We had three age groups for younger elementary school children (n = 16, 8.0 ± 0.8 years, Group 1), older elementary school children (n = 13, 11.6 ± 0.6 years, Group 2), and adults (n = 10, 23.5 ± 2.7 years, Group 3). Absolute angular position difference Δθ and absolute angular velocity difference Δω between the target and tracer were computed to compare the position and velocity control abilities among the groups. Statistical hypothesis tests on the control parameters revealed that the mean Δθ of Group 2 (4.06 ± 0.71 deg) was statistically smaller than Group 1 (6.17 ± 1.51 deg, p < 0.006) and equivalent to Group 3 (2.76 ± 0.51 deg, p < 0.075), whereas the mean Δω of Group 2 (19.8 ± 4.5 deg/s) was statistically equivalent to Group 1 (20.5 ± 2.9 deg/s, p < 1.0) but greater than Group 3 (12.9 ± 2.0 deg/s, p < 0.0011). It indicated that the older children performed comparably accurate position control to the adults but exercised immature velocity control. However, we noticed that velocity control in the older children was actively developing since they managed to decrease Δω significantly (17.4 ± 3.53 deg/s, p < 0.003) during the target-invisible phase, just like the adults did (11.8 ± 1.08 deg/s, p < 0.017). Therefore, we could also infer that children start to obtain feedforward abilities and internal models in preteens.

Publisher

Research Square Platform LLC

Reference33 articles.

1. "Processing visual feedback information for movement control;Carlton Les G;Journal of Experimental Psychology: Human Perception and Performance,1981

2. Burdet, Etienne, David W. Franklin, and Theodore E. Milner. Human robotics: neuromechanics and motor control. MIT press, 2013.

3. "A hierarchical neural-network model for control and learning of voluntary movement;Kawato Mitsuo;Biological cybernetics,1987

4. "A computational model of four regions of the cerebellum based on feedback-error learning;Kawato Mitsuo;Biological cybernetics,1992

5. Jordan, Michael I., and Daniel M. Wolpert. "Computational motor control." (1999): 601–620.

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