Evaluation of Human Prehension Using Grasp Quality Measures

Author:

León Beatriz1,Sancho-Bru Joaquín L.2,Jarque-Bou Néstor J.2,Morales Antonio1,Roa Máximo A.3

Affiliation:

1. Robotic Intelligence Lab, Department of Computer Science and Engineering, Universitat Jaume I, Castellón, Spain

2. Biomechanics & Ergonomics Group, Department of Mechanical Engineering & Construction, Universitat Jaume I, Castellón, Spain

3. Institute of Robotics and Mechatronics, German Aerospace Centre (DLR), Wessling, Germany

Abstract

One of the main features of the human hand is its grasping ability. Robot grasping has been studied for years and different quality measures have been proposed to evaluate the stability and manipulability of grasps. Although the human hand is obviously more complex than robot hands, the methods used in robotics might be adopted to study the human grasp. The purpose of this work is to propose a set of measures that allow the evaluation of different aspects of the human grasp. The most common robotic grasp quality measures have been adapted to the evaluation of the human hand and a new quality measure – the fatigue index – is proposed in order to incorporate the biomechanical aspect into the evaluation. The minimum set of indices that allows the evaluation of the different aspects of the grasp is obtained from the analysis of a human prehension experiment.

Publisher

SAGE Publications

Subject

Artificial Intelligence,Computer Science Applications,Software

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