JOURNAL ARTICLE

Evaluation of Human Prehension Using Grasp Quality Measures

Beatriz LeónJoaquín L. Sancho-BruNéstor J. Jarque-BouAntonio MoralesMáximo A. Roa

Year: 2012 Journal:   International Journal of Advanced Robotic Systems Vol: 9 (4)   Publisher: SAGE Publishing

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.

Keywords:
GRASP Computer science Set (abstract data type) Artificial intelligence Robotics Quality (philosophy) Robot Stability (learning theory) Measure (data warehouse) Human–robot interaction Human–computer interaction Machine learning Data mining

Metrics

32
Cited By
6.08
FWCI (Field Weighted Citation Impact)
37
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Robot Manipulation and Learning
Physical Sciences →  Engineering →  Control and Systems Engineering
Muscle activation and electromyography studies
Physical Sciences →  Engineering →  Biomedical Engineering
Robotic Mechanisms and Dynamics
Physical Sciences →  Engineering →  Control and Systems Engineering
© 2026 ScienceGate Book Chapters — All rights reserved.