scholarly journals The influence of perceptual–motor variability on the perception of action boundaries for reaching.

2020 ◽  
Vol 46 (5) ◽  
pp. 474-488 ◽  
Author(s):  
Lisa P. Y. Lin ◽  
Neil M. McLatchie ◽  
Sally A. Linkenauger
Keyword(s):  
Motor Variability ◽  
Perception Of Action

scholarly journals The Influence of Perceptual-Motor Variability on the Perception of Action Boundaries for Reaching in a Real-World Setting

Perception ◽  
2021 ◽  
Vol 50 (9) ◽  
pp. 783-796
Author(s):  
Lisa P. Y. Lin ◽  
Christopher J. Plack ◽  
Sally A. Linkenauger
Keyword(s):  
Virtual Reality ◽  
Real World ◽  
Elbow Extension ◽  
Visually Guided ◽  
Motor Variability ◽  
Real World Setting ◽  
Action Capabilities ◽  
Successful Execution ◽  
Perceptual Systems ◽  
Perception Of Action

The ability to accurately perceive the extent over which one can act is requisite for the successful execution of visually guided actions. Yet, like other outcomes of perceptual-motor experience, our perceived action boundaries are not stagnant, but in constant flux. Hence, the perceptual systems must account for variability in one’s action capabilities in order for the perceiver to determine when they are capable of successfully performing an action. Recent work has found that, after reaching with a virtual arm that varied between short and long each time they reach, individuals determined their perceived action boundaries using the most liberal reaching experience. However, these studies were conducted in virtual reality, and the perceptual systems may handle variability differently in a real-world setting. To test this hypothesis, we created a modified orthopedic elbow brace that mimics injury in the upper limb by restricting elbow extension via remote control. Participants were asked to make reachability judgments after training in which the maximum extent of their reaching ability was either unconstricted, constricted or variable over several calibration trials. Findings from the current study did not conform to those in virtual reality; participants were more conservative with their reachability estimates after experiencing variability in a real-world setting.

Fitts's Law Holds for the Perception of Action

2004 ◽  
Author(s):  
Marc Grosjean ◽  
Gunther Knoblich ◽  
Maggie Shiffrar
Keyword(s):  
Perception Of Action

scholarly journals Influence of Experimental Pain on the Perception of Action Capabilities and Performance of a Maximal Single-Leg Hop

2014 ◽  
Vol 15 (3) ◽  
pp. 271.e1-271.e7 ◽  
Author(s):  
Thibault Deschamps ◽  
François Hug ◽  
Paul W. Hodges ◽  
Kylie Tucker
Keyword(s):  
Experimental Pain ◽  
Action Capabilities ◽  
And Performance ◽  
Perception Of Action

An enhanced experimental procedure to rationalize on the impairment of perception of action capabilities

2015 ◽  
Vol 80 (2) ◽  
pp. 224-234 ◽  
Author(s):  
Yannick Daviaux ◽  
Sylvain Cremoux ◽  
Jessica Tallet ◽  
David Amarantini ◽  
Christophe Cornu ◽  
...  
Keyword(s):  
Experimental Procedure ◽  
Action Capabilities ◽  
Perception Of Action

scholarly journals Deciphering the relationship between perceptual and motor variability

2011 ◽  
Vol 11 (11) ◽  
pp. 548-548
Author(s):  
D. Liston ◽  
L. Stone
Keyword(s):  
Motor Variability ◽  
The Relationship

scholarly journals Validity and sensitivity of an inertial measurement unit-driven biomechanical model of motor variability for gait

2021 ◽  
Author(s):  
Christopher Bailey ◽  
Thomas Uchida ◽  
Julie Nantel ◽  
Ryan Graham
Keyword(s):  
Inertial Measurement Unit ◽  
Intraclass Correlation ◽  
Biomechanical Model ◽  
Measurement Unit ◽  
Local Dynamic ◽  
Joint Angles ◽  
Motor Variability ◽  
Arm Swing ◽  
Inertial Measurement ◽  
Local Dynamic Stability

Motor variability in gait is frequently linked to fall risk, yet field-based biomechanical joint evaluations are scarce. We evaluated the validity and sensitivity of an inertial measurement unit (IMU)-driven biomechanical model of joint angle variability for gait. Fourteen healthy young adults completed seven-minute trials of treadmill gait at several speeds and arm swing amplitudes. Joint kinematics were estimated by IMU- and optoelectronic-based models using OpenSim. We calculated range of motion (ROM), magnitude of variability (meanSD), local dynamic stability (λmax), persistence of ROM fluctuations (DFAα), and regularity (SaEn) of each angle over 200 continuous strides, and evaluated model accuracy (e.g., RMSD: root mean square difference), consistency (ICC2,1: intraclass correlation), biases, limits of agreement, and sensitivity to within-participant gait responses (effects of Speed and Swing). RMSDs of joint angles were 1.7–7.5° (pooled mean of 4.8°), excluding ankle inversion. ICCs were mostly good–excellent in the primary plane of motion for ROM and in all planes for meanSD and λmax, but were poor–moderate for DFAα and SaEn. Modeled Speed and Swing responses for ROM, meanSD, and λmax were similar. Results suggest that the IMU-driven model is valid and sensitive for field-based assessments of joint angles and several motor variability features.

Motor variability prior to learning does not facilitate the ability to adopt new movement solutions

Neuroscience ◽  
2021 ◽  
Author(s):  
Rajiv Ranganathan ◽  
Marco Lin ◽  
Samuel Carey ◽  
Rakshith Lokesh ◽  
Mei-Hua Lee ◽  
...  
Keyword(s):  
Motor Variability
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