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Analyzing the kinematics of hand movements in catching tasks—An online correction analysis of movement toward the target’s trajectory

Overview of attention for article published in Behavior Research Methods, December 2017
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Title
Analyzing the kinematics of hand movements in catching tasks—An online correction analysis of movement toward the target’s trajectory
Published in
Behavior Research Methods, December 2017
DOI 10.3758/s13428-017-0995-2
Pubmed ID
Authors

Lena Slupinski, Marc H. E. de Lussanet, Heiko Wagner

Abstract

Free, 3-D interceptive movements are difficult to visualize and quantify. For ball catching, the endpoint of a movement can be anywhere along the target's trajectory. Furthermore, the hand may already have begun to move before the subject has estimated the target's trajectory, and the subject may alter the targeted position during the initial part of the movement. We introduce a method to deal with these difficulties and to quantify three movement phases involved in catching: the initial, non-goal-directed phase; the goal-directed phase, which is smoothly directed toward the target's trajectory; and the final, interception phase. Therefore, the 3-D movement of the hand was decomposed into a component toward the target's trajectory (the minimal distance of the hand to the target's parabolic [MDHP] trajectory) and a component along this trajectory. To identify the goal-directed phase of the MDHP trajectory, we employed the empirical finding that goal-directed trajectories are minimally jerky. The second component, along the target's trajectory, was used to analyze the interaction of the hand with the ball. The method was applied to two conditions of a ball-catching task. In the manipulated condition, the initial part of the ball's flight was occluded, so the visibility of the ball was postponed. As expected, the onset of the smooth part of the movement shifted to a later time. This method can be used to quantify anticipatory behavior in interceptive tasks, allowing researchers to gain new insights into movement planning toward the target's trajectory.

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 30%
Researcher 3 15%
Student > Postgraduate 2 10%
Student > Doctoral Student 1 5%
Student > Master 1 5%
Other 3 15%
Unknown 4 20%
Readers by discipline Count As %
Neuroscience 6 30%
Sports and Recreations 4 20%
Psychology 2 10%
Engineering 2 10%
Economics, Econometrics and Finance 1 5%
Other 1 5%
Unknown 4 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 December 2018.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Behavior Research Methods
#2,100
of 2,526 outputs
Outputs of similar age
#385,601
of 446,047 outputs
Outputs of similar age from Behavior Research Methods
#27
of 35 outputs
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