Title
A Design Approach To The Configuration Of A Prosthetic Hand
Abstract
Purpose - This paper presents a method to elaborate the selections of these parameters to achieve stable grasps. The performance of a prosthetic hand is mainly determined by its mechanical design. However, the effects of the geometric parameters of the hand configuration and the object sizes on the grasp stability are unknown.Design/methodology/approach - First, the thumb functions of human hands are analyzed based on the anatomical model, and the configuration characteristics of the thumbs for typical prosthetic hands are summarized. Then a method of optimizing the thumb configuration is proposed by measuring the kinematic transmission performance of robotics. On the basis of the thumb configuration analysis, a design method of the prosthetic hand configuration is proposed based on form closure theory. The discriminant function of form closure is used to analyze and determine the hand configuration parameters.Findings - An application of this method - the newly developed HIT V prosthetic hand - elaborates the optimization of the thumb configuration and the hand configuration, where the relation between the key hand configuration parameters and the discriminant function on condition of satisfying form closure, sustained by analytical equations and graphs, is revealed and visualized. An experimental verification shows that it is an effective method to design the prosthetic hand configuration available for grasping typical objects in our daily life.Originality/value - The paper shows how to easily determine the geometric dimensions of the palm, phalanges and hand configuration, so that the desired range of object sizes can be obtained.
Year
DOI
Venue
2015
10.1108/IR-02-2015-0029
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION
Keywords
Field
DocType
Robot design, Prosthetics, Form closure, Hand configuration, Stable grasp
Mechanical design,Kinematics,Thumb,Engineering drawing,Control engineering,Transmission performance,Artificial intelligence,Robotics,Discriminant function analysis,Force closure,GRASP,Simulation,Engineering
Journal
Volume
Issue
ISSN
42
4
0143-991X
Citations 
PageRank 
References 
1
0.36
14
Authors
3
Name
Order
Citations
PageRank
li jiang1111.60
Bo Zeng27613.74
Shaowei Fan38511.78