TY - GEN
T1 - Fuzzy sensor for gesture recognition based on motion and shape recognition of hand
AU - Benoit, E.
AU - Allevard, T.
AU - Ukegawa, T.
AU - Sawada, H.
N1 - Publisher Copyright:
© 2003 IEEE.
PY - 2003
Y1 - 2003
N2 - 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.
AB - 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.
KW - Application software
KW - Character recognition
KW - Computer interfaces
KW - Handicapped aids
KW - Human computer interaction
KW - Measurement uncertainty
KW - Motion measurement
KW - Robot control
KW - Shape measurement
KW - Speech coding
UR - http://www.scopus.com/inward/record.url?scp=27744582251&partnerID=8YFLogxK
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U2 - 10.1109/VECIMS.2003.1227031
DO - 10.1109/VECIMS.2003.1227031
M3 - Conference contribution
AN - SCOPUS:27744582251
T3 - VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems
SP - 63
EP - 67
BT - VECIMS 2003 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2003 International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems, VECIMS 2003
Y2 - 27 July 2003 through 29 July 2003
ER -