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Author Friedman, Jason; Flash, Tamar pdf  doi
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  Title Task-dependent selection of grasp kinematics and stiffness in human object manipulation Type Journal Article
  Year (up) 2007 Publication Cortex Abbreviated Journal  
  Volume 43 Issue 3 Pages 444-460  
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  Abstract Object manipulation with the hand is a complex task. The task has redundancies at many levels, allowing many possibilities for the selection of grasp points, the orientation and posture of the hand, the forces to be applied at each fingertip and the impedance properties of the hand. Despite this inherent complexity, humans perform object manipulation nearly effortlessly. This article presents experimental findings of how humans grasp and manipulate objects, and examines the compatibility of grasps selected for specific tasks. This is accomplished by looking at the velocity transmission and force transmission ellipsoids, which represent the transmission ratios of the corresponding quantity from the joints to the object, as well as the stiffness ellipsoid which represents the directional stiffness of the grasp. These ellipsoids allow visualization of the grasp Jacobian and grasp stiffness matrices. The results show that the orientation of the ellipsoids can be related to salient task requirements.  
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  Call Number Penn State @ write.to.jason @ Serial 14  
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Author Friedman, Jason; Flash, Tamar pdf  url
doi  openurl
  Title Trajectory of the index finger during grasping Type Journal Article
  Year (up) 2009 Publication Experimental Brain Research Abbreviated Journal Exp Brain Res  
  Volume 196 Issue 4 Pages 497-509  
  Keywords  
  Abstract The trajectory of the index finger during grasping movements was compared to the trajectories predicted by three optimization-based models. The three models consisted of minimizing the integral of the weighted squared joint derivatives along the path (inertia-like cost), minimizing torque change, and minimizing angular jerk. Of the three models, it was observed that the path of the fingertip and the joint trajectories, were best described by the minimum angular jerk model. This model, which does not take into account the dynamics of the finger, performed equally well when the inertia of the finger was altered by adding a 20 g weight to the medial phalange. Thus, for the finger, it appears that trajectories are planned based primarily on kinematic considerations at a joint level.  
  Address Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel, write.to.jason@gmail.com  
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  Language English Summary Language Original Title  
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  Series Volume Series Issue Edition  
  ISSN 1432-1106 ISBN Medium  
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  Notes PMID:19521692 Approved no  
  Call Number Penn State @ write.to.jason @ Serial 17  
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