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Fundamental Study to Consider for Advanced Interface in Grasping Movement

Authors:
Shunji Shimizu
Hiroaki Inoue
Noboru Takahashi

Keywords: human hand; grasping force; grasping pattern; brain activity; NIRS

Abstract:
The analysis of human grasping movement is important in developing methodologies for controlling robots or understanding human motion programs. In analyzing human grasping movement, it is advantageous to classify movements. In previous papers, classifications of grasping patterns were proposed according to the posture. Among these classifications of grasping patterns, no unified view has been reached as yet. The measured quantities in grasping have included only the posture of the hand, force and its distribution. Few have pertained to classifications based on grasping force and its distribution. This paper first tries to analyze the effect of visual information on grasping movements, and then attempts to classify grasping movements broadly according to their purpose. For the elements of the purposes of grasping movements, movements that were decided upon were those which require attention, snapping or the adjustment of the wrist or movements which do not require any special action to achieve their purpose. Secondly, we focus on the tactile information to predict with a limitation of movement. Finally, we attempted to discuss the relation between human brain activity and grasping movement on cognitive tasks.

Pages: 342 to 347

Copyright: Copyright (c) IARIA, 2013

Publication date: February 24, 2013

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-250-9

Location: Nice, France

Dates: from February 24, 2013 to March 1, 2013