Authors:
Atsushi Shimada
1
;
Takayoshi Yamashita
2
and
Rin-ichiro Tanguchi
1
Affiliations:
1
Kyushu University, Japan
;
2
OMRON Corporation, Japan
Keyword(s):
Hand gesture recognition, Selection, Supporting system.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Image Understanding
;
Learning of Action Patterns
;
Pattern Recognition
;
Software Engineering
Abstract:
This paper discusses hand shapes for Human Computer Interface. Usually, a hand gesture based Human
Computer Interface is developed by human centered design concept. A system designer or developer tends to
select hand shapes by himself/herself without verifying practical effectiveness from the standpoint of system
aspect. Instead, a methodology of training and recognition of hand shapes is often discussed. On the other
hand, this paper listens to system’s voice; which hand shape is easy to be recognized, which is easy to be
confused and so on. Actually, 37 kinds of tentative hand shapes were investigated from the viewpoint of
system-friendly hand shape. Based on the result, a supporting system was developed for a system designer,
which helps to find appropriate hand shapes which satisfy both “user-friendly” and “system-friendly” demand.