Implementation of fuzzy similarity methods for manipulative hand posture evaluation

Author

Baysal, Cabbar Veysel

Author_Institution

Dipt. de Ing. Sist. y Autom., Univ. Carlos III de Madrid, Leganes, Spain

fYear

2010

fDate

10-13 Oct. 2010

Firstpage

1320

Lastpage

1324

Abstract

In this paper, an implementation of fuzzy similarity methods for model based manipulative hand postures is presented. The model used to represent manipulative hand postures is based on a human hand kinematical model. In the model, the posture is formed as a set of hand joint variables. Joint angles of the posture are fuzzified to obtain a Fuzzy superset, which is used to obtain the symbolic posture pattern. Evaluation of different types of fuzzy membership functions is performed for fuzzification. Fuzzy similarity measures are adapted and analyzed as a distinction tool for a possible hand posture identification and classification.

Keywords

fuzzy control; fuzzy set theory; human-robot interaction; manipulator kinematics; fuzziflcation; fuzzy membership functions; fuzzy similarity methods; fuzzy superset; hand joint variables; human hand kinematical model; manipulative hand posture evaluation; symbolic posture pattern; Adaptation model; Electronics packaging; Joints; USA Councils; Uncertainty; Manipulative hand postures; classification; fuzzy similarity measures;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1062-922X

Print_ISBN

978-1-4244-6586-6

Type

conf

DOI

10.1109/ICSMC.2010.5642441

Filename

5642441