Literature DB >> 1733991

A kinematic model of the human hand to evaluate its prehensile capabilities.

B Buchholz1, T J Armstrong.   

Abstract

A kinematic model has been developed for simulation and prediction of the prehensile capabilities of the human hand. The kinematic skeleton of the hand is characterized by ideal joints and simple segments. Finger-joint angulation is characterized by yaw (abduction-adduction), pitch (flexion-extension) and roll (axial rotation) angles. The model is based on an algorithm that determines contact between two ellipsoids, which are used to approximate the geometry of the cutaneous surface of the hand segments. The model predicts the hand posture (joint angles) for power grasp of ellipsoidal objects by 'wrapping' the fingers around the object. Algorithms for two grip types are included: (1) a transverse volar grasp, which has the thumb abducted for added power; and (2) a diagonal volar grasp, which has the thumb adducted for an element of precision. Coefficients for estimating anthropometric parameters from hand length and breadth are incorporated in the model. Graphics procedures are included for visual display of the model. In an effort to validate the predictive capabilities of the model, joint angles were measured on six subjects grasping circular cylinders of various diameters and these measured joint angles were compared with angles predicted by the model. Sensitivity of the model to the various input parameters was also determined. On an average, the model predicted joint flexion angles that were 5.3% or 2.8 degrees +/- 12.2 degrees larger than the measured angles. Good agreement was found for the MCP and PIP joints, but results for DIP were more variable because of its dependence on the predictions for the proximal joints.

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Year:  1992        PMID: 1733991     DOI: 10.1016/0021-9290(92)90272-3

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  7 in total

1.  In vivo finger flexor tendon force while tapping on a keyswitch.

Authors:  J T Dennerlein; E Diao; C D Mote; D M Rempel
Journal:  J Orthop Res       Date:  1999-03       Impact factor: 3.494

2.  Reach to grasp: the natural response to perturbation of object size.

Authors:  U Castiello; K M Bennett; G E Stelmach
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

3.  A Novel Clinical-Driven Design for Robotic Hand Rehabilitation: Combining Sensory Training, Effortless Setup, and Large Range of Motion in a Palmar Device.

Authors:  Raphael Rätz; François Conti; René M Müri; Laura Marchal-Crespo
Journal:  Front Neurorobot       Date:  2021-12-20       Impact factor: 2.650

4.  Design and Evaluation of an Actuated Exoskeleton for Examining Motor Control in Stroke Thumb.

Authors:  Furui Wang; Christopher L Jones; Milind Shastri; Kai Qian; Derek G Kamper; Nilanjan Sarkar
Journal:  Adv Robot       Date:  2016-03-07       Impact factor: 1.699

5.  Measurement of three-joint-finger motions: reality or fancy? A three-dimensional anatomical approach.

Authors:  R Degeorges; C Oberlin
Journal:  Surg Radiol Anat       Date:  2003-05-20       Impact factor: 1.246

6.  Dependence of safety margins in grip force on isometric push force levels in lateral pinch.

Authors:  Na Jin Seo
Journal:  Ergonomics       Date:  2009-07       Impact factor: 2.778

7.  3D active workspace of human hand anatomical model.

Authors:  Doina Dragulescu; Véronique Perdereau; Michel Drouin; Loredana Ungureanu; Karoly Menyhardt
Journal:  Biomed Eng Online       Date:  2007-05-02       Impact factor: 2.819

  7 in total

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