Literature DB >> 19521692

Trajectory of the index finger during grasping.

Jason Friedman1, Tamar Flash.   

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.

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Year:  2009        PMID: 19521692     DOI: 10.1007/s00221-009-1878-2

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  23 in total

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Authors:  J B Smeets; E Brenner
Journal:  Motor Control       Date:  1999-07       Impact factor: 1.422

2.  Quantitative examinations for multi joint arm trajectory planning--using a robust calculation algorithm of the minimum commanded torque change trajectory.

Authors:  Y Wada; Y Kaneko; E Nakano; R Osu; M Kawato
Journal:  Neural Netw       Date:  2001-05

3.  Patterns of hand motion during grasping and the influence of sensory guidance.

Authors:  Marco Santello; Martha Flanders; John F Soechting
Journal:  J Neurosci       Date:  2002-02-15       Impact factor: 6.167

4.  Separate adaptive mechanisms for controlling trajectory and final position in reaching.

Authors:  Robert A Scheidt; Claude Ghez
Journal:  J Neurophysiol       Date:  2007-10-03       Impact factor: 2.714

5.  Kinematics of point-to-point finger movements.

Authors:  E G Cruz; D G Kamper
Journal:  Exp Brain Res       Date:  2006-03-17       Impact factor: 1.972

6.  Quantitative analysis of the linkage between the interphalangeal joints of the index finger. An in vivo study.

Authors:  P Hahn; H Krimmer; A Hradetzky; U Lanz
Journal:  J Hand Surg Br       Date:  1995-10

7.  Moving effortlessly in three dimensions: does Donders' law apply to arm movement?

Authors:  J F Soechting; C A Buneo; U Herrmann; M Flanders
Journal:  J Neurosci       Date:  1995-09       Impact factor: 6.167

8.  The coordination of arm movements: an experimentally confirmed mathematical model.

Authors:  T Flash; N Hogan
Journal:  J Neurosci       Date:  1985-07       Impact factor: 6.167

9.  Simulating discrete and rhythmic multi-joint human arm movements by optimization of nonlinear performance indices.

Authors:  Armin Biess; Mark Nagurka; Tamar Flash
Journal:  Biol Cybern       Date:  2006-05-13       Impact factor: 2.086

10.  Task-dependent selection of grasp kinematics and stiffness in human object manipulation.

Authors:  Jason Friedman; Tamar Flash
Journal:  Cortex       Date:  2007-04       Impact factor: 4.027

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  7 in total

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Authors:  Shaw Bronner; James Shippen
Journal:  Exp Brain Res       Date:  2015-08-30       Impact factor: 1.972

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Authors:  Mohsen Sadeghi; Mehran Emadi Andani; Fariba Bahrami; Mohamad Parnianpour
Journal:  Exp Brain Res       Date:  2013-06-27       Impact factor: 1.972

3.  Corrective jitter motion shows similar individual frequencies for the arm and the finger.

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Journal:  Exp Brain Res       Date:  2015-01-29       Impact factor: 1.972

4.  Analytical and numerical analysis of inverse optimization problems: conditions of uniqueness and computational methods.

Authors:  Alexander V Terekhov; Vladimir M Zatsiorsky
Journal:  Biol Cybern       Date:  2011-02-11       Impact factor: 2.086

5.  Grasping kinematics from the perspective of the individual digits: a modelling study.

Authors:  Rebekka Verheij; Eli Brenner; Jeroen B J Smeets
Journal:  PLoS One       Date:  2012-03-07       Impact factor: 3.240

6.  Offline Optimization of the Relative Timing of Movements in a Sequence Is Blocked by Retroactive Behavioral Interference.

Authors:  Jason Friedman; Maria Korman
Journal:  Front Hum Neurosci       Date:  2016-12-20       Impact factor: 3.169

7.  Control Architecture for Human-Like Motion With Applications to Articulated Soft Robots.

Authors:  Franco Angelini; Cosimo Della Santina; Manolo Garabini; Matteo Bianchi; Antonio Bicchi
Journal:  Front Robot AI       Date:  2020-09-11
  7 in total

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