Fuzzy sensor for gesture recognition based on motion and shape recognition of hand

Author

BENOIT, Eric ; Allevard, Thomas ; Ukegawa, Takumi ; Sawada, Hideyuki

Author_Institution

Savoie Univ., Chambery, France

fYear

2003

fDate

27-29 July 2003

Firstpage

63

Lastpage

67

Abstract

Gesture recognition needs to take into account very different information. It needs to perform the fusion of hand shape and motion information. This paper presents a solution using a fuzzy sensor approach for the aggregation of such measurement information. Motion recognition is based on a measurement represented by numerical fuzzy subsets, and shape recognition is based on measurements represented by lexical fuzzy subsets.

Keywords

fuzzy set theory; gesture recognition; image motion analysis; image sensors; motion measurement; sensor fusion; shape measurement; HCI; fuzzy sensor; gesture recognition; hand configuration recognition; hand motion; hand posture; hand shape; human-computer interface; lexical fuzzy subsets; measurement information aggregation; motion information; motion recognition; numerical fuzzy subset; shape recognition; sign language; Application software; Character recognition; Computer interfaces; Handicapped aids; Human computer interaction; Measurement uncertainty; Motion measurement; Robot control; Shape measurement; Speech coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Virtual Environments, Human-Computer Interfaces and Measurement Systems, 2003. VECIMS '03. 2003 IEEE International Symposium on

Print_ISBN

0-7803-7785-0

Type

conf

DOI

10.1109/VECIMS.2003.1227031

Filename

1227031