DocumentCode
2466944
Title
Trajectory formation based on a human arm model with redundancy
Author
Kashima, Tadashi ; Yanagihara, Keisuke ; Iwaseya, Masao
Author_Institution
Tomakomai Nat. Coll. of Technol., Tomakomai, Japan
fYear
2012
fDate
14-17 Oct. 2012
Firstpage
959
Lastpage
963
Abstract
Human arm trajectory formations have been widely investigated to understand how we control the trajectories in the central nervous system. The trajectory formations proposed in most of studies are for now limited to a plane motion, and the arm model used for analyses are mostly restricted within three degrees of freedom. On the contrary, the structure of the human arm has redundancy for locating a hand to any position in a three dimensional space. This study presents the trajectory formation applicable to a redundant arm model which is capable of moving in a three dimensional space. The criterion is defined by the angular jerk for all joint angles, and a constraint is provided for the motion of the elbow joint in order to exhibit the hand velocity profile of the human arm trajectory. This trajectory formation is applied to a redundant arm model of which structure is similar to a human arm. The trajectories produced under the proposed trajectory formation are evaluated by the trajectories observed in a three dimensional space as well as in a sagittal plane. Consequently, the relevance of the trajectory formation for demonstrating human arm trajectories has been discussed.
Keywords
biology; motion control; neurophysiology; trajectory control; central nervous system; human arm model; human arm trajectory formation; plane motion; redundancy; sagittal plane; Elbow; Humans; Joints; Kinematics; Redundancy; Shoulder; Trajectory; jerk; redundant arm model; trajectory formation;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4673-1713-9
Electronic_ISBN
978-1-4673-1712-2
Type
conf
DOI
10.1109/ICSMC.2012.6377852
Filename
6377852
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