DocumentCode
2746014
Title
Internal models underlying fingertip force control during object manipulation in humans
Author
Gordon, A.M. ; Salimi, I.
Author_Institution
Dept. of Biobehavioral Sci., Columbia Univ., New York, NY, USA
Volume
2
fYear
2004
fDate
1-5 Sept. 2004
Firstpage
4641
Lastpage
4644
Abstract
Since sensory information pertaining to an object´s weight and weight distribution is not available until after an object has been grasped and lifted from its support surface, skillful manipulation requires predictive scaling of fingertip forces. The predictive control is based on internal models of the object formed during prior manipulatory experience. The present study investigates the extent to which such predictive control achieved with practice of one hand can be generalized to the contralateral hand. Subjects grasped and lifted an object instrumented with force transducers. The object´s center of mass (CoM) was displaced 2 cm laterally from the object´s center, requiring asymmetric partitioning of tangential force development to prevent tilting. They first performed five lifts using their right hand with the CoM located on a given side with a given weight. Then the subjects translated the object the left side of the body and performed one lift with the left hand. The procedure was repeated five times with the CoM located on each side of the object and with a total object weight of 400 g and 800 g. On the last pre-translation lift, the rate of tangential force development was appropriately higher in the digit opposing the CoM (p<0.05). In contrast, following translation to the left hand, the rate of tangential force development was nearly equal in each digit (p>0.05). Nevertheless the force rates were higher in both digits for lifts with the heavier (800g) object (p<0.05). The results suggest there is a dichotomy between the generalizability of predictive control based on the object´s weight and CoM. We propose that the control may be hierarchical in nature, with parameters that can be globalized representing higher level control and those that cannot (e.g., individuated digit control) representing a lower level control.
Keywords
biomechanics; force sensors; predictive control; 400 g; 800 g; center of mass; fingertip force control; force transducers; humans; internal models; object manipulation; predictive control; sensory information; tangential force development; Fingers; Force control; Force measurement; Grasping; Humans; Predictive control; Predictive models; Robot sensing systems; Thumb; Transducers; Human hand; grasp; internal model; precision grip; predictive isometric force control;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-8439-3
Type
conf
DOI
10.1109/IEMBS.2004.1404286
Filename
1404286
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