Title :
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
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;
Conference_Titel :
Virtual Environments, Human-Computer Interfaces and Measurement Systems, 2003. VECIMS '03. 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7785-0
DOI :
10.1109/VECIMS.2003.1227031
