Oculo-manual coordination control: Ocular and manual tracking of visual targets with delayed visual feedback of the hand motion

1992 ◽  
Vol 90 (3) ◽  
Author(s):  
J.-L. Vercher ◽  
G.M. Gauthier
Keyword(s):  
Visual Feedback ◽  
Manual Tracking ◽  
Coordination Control ◽  
Hand Motion ◽  
Visual Targets ◽  
Delayed Visual Feedback

Oculo-manual tracking of visual targets: control learning, coordination control and coordination model

1988 ◽  
Vol 73 (1) ◽  
pp. 127-137 ◽  
Author(s):  
G. M. Gauthier ◽  
J. -L. Vercher ◽  
F. Mussa Ivaldi ◽  
E. Marchetti
Keyword(s):  
Manual Tracking ◽  
Coordination Control ◽  
Coordination Model ◽  
Control Learning ◽  
Visual Targets

Delayed Visual Feedback Affects Both Manual Tracking and Grip Force Control When Transporting a Handheld Object

2010 ◽  
Vol 104 (2) ◽  
pp. 641-653 ◽  
Author(s):  
Fabrice R. Sarlegna ◽  
Gabriel Baud-Bovy ◽  
Frédéric Danion
Keyword(s):  
Visual Feedback ◽  
Grip Force ◽  
Task Complexity ◽  
Dynamic Properties ◽  
Internal Representation ◽  
Object Motion ◽  
Load Force ◽  
Manual Tracking ◽  
Actual Object ◽  
Delayed Visual Feedback

When we manipulate an object, grip force is adjusted in anticipation of the mechanical consequences of hand motion (i.e., load force) to prevent the object from slipping. This predictive behavior is assumed to rely on an internal representation of the object dynamic properties, which would be elaborated via visual information before the object is grasped and via somatosensory feedback once the object is grasped. Here we examined this view by investigating the effect of delayed visual feedback during dextrous object manipulation. Adult participants manually tracked a sinusoidal target by oscillating a handheld object whose current position was displayed as a cursor on a screen along with the visual target. A delay was introduced between actual object displacement and cursor motion. This delay was linearly increased (from 0 to 300 ms) and decreased within 2-min trials. As previously reported, delayed visual feedback altered performance in manual tracking. Importantly, although the physical properties of the object remained unchanged, delayed visual feedback altered the timing of grip force relative to load force by about 50 ms. Additional experiments showed that this effect was not due to task complexity nor to manual tracking. A model inspired by the behavior of mass-spring systems suggests that delayed visual feedback may have biased the representation of object dynamics. Overall, our findings support the idea that visual feedback of object motion can influence the predictive control of grip force even when the object is grasped.

Delayed Visual Feedback While Learning to Track a Moving Target

1996 ◽  
Vol 67 (4) ◽  
pp. 416-423 ◽  
Author(s):  
Heather Carnahan ◽  
Craig Hall ◽  
Timothy D. Lee
Keyword(s):  
Visual Feedback ◽  
Moving Target ◽  
Delayed Visual Feedback

Contributions of delayed visual feedback and cognitive task load to postural dynamics

2010 ◽  
Vol 481 (3) ◽  
pp. 173-177 ◽  
Author(s):  
Ting Ting Yeh ◽  
Jason Boulet ◽  
Tyler Cluff ◽  
Ramesh Balasubramaniam
Keyword(s):  
Visual Feedback ◽  
Cognitive Task ◽  
Task Load ◽  
Delayed Visual Feedback

Delayed visual feedback and movement control in Parkinson's disease

1990 ◽  
Vol 110 (2) ◽  
pp. 228-235 ◽  
Author(s):  
A. Beuter ◽  
J.G. Milton ◽  
C. Labrie ◽  
L. Glass ◽  
S. Gauthier
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Visual Feedback ◽  
Movement Control ◽  
Delayed Visual Feedback

Modeling head tracking of visual targets

2002 ◽  
Vol 12 (1) ◽  
pp. 25-33
Author(s):  
K.J. Chen ◽  
E.A. Keshner ◽  
B.W. Peterson ◽  
T.C. Hain
Keyword(s):  
Control System ◽  
Visual Feedback ◽  
Human Head ◽  
Feedback System ◽  
Optimization Methods ◽  
Head Tracking ◽  
Feedback Systems ◽  
Control Gain ◽  
Head Control ◽  
Visual Targets

Control of the head involves somatosensory, vestibular, and visual feedback. The dynamics of these three feedback systems must be identified in order to gain a greater understanding of the head control system. We have completed one step in the development of a head control model by identifying the dynamics of the visual feedback system. A mathematical model of human head tracking of visual targets in the horizontal plane was fit to experimental data from seven subjects performing a visual head tracking task. The model incorporates components based on the underlying physiology of the head control system. Using optimization methods, we were able to identify neural processing delay, visual control gain, and neck viscosity parameters in each experimental subject.

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