DocumentCode
426071
Title
Hand posture detection by neural network and grasp mapping for a master slave hand system
Author
Wojtara, Tytus ; Nonami, Kenzo
Author_Institution
Gaduate Sch. of Sci. & Technol., Chiba Univ., Japan
Volume
1
fYear
2004
fDate
28 Sept.-2 Oct. 2004
Firstpage
866
Abstract
This article is proposing a grasp recognition and grasp mapping method for a land mine clearance master-slave system. The system consists of a data glove and a powerful hydraulic hand. Because of the different structure of the master and slave hand a mapping from master grasp to slave grasp has to be implemented. The paper presents a grasp recognition method by neural network (NN) and a mapping method. The introduced mapping method allows the operator more intuitive grasping.
Keywords
control engineering computing; landmine detection; manipulators; neural nets; grasp mapping; grasp recognition; hand posture detection; land mine clearance; master slave hand system; neural network; Data gloves; Grasping; Humans; Injuries; Laboratories; Landmine detection; Master-slave; Neural networks; Pulse modulation; Service robots;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on
Print_ISBN
0-7803-8463-6
Type
conf
DOI
10.1109/IROS.2004.1389461
Filename
1389461
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