Circular fuzzy neural network based hand gesture and posture modeling

Author

Tusor, Balazs ; Varkonyi-Koczy, Annamaria R.

Author_Institution

Integrated Intell. Syst. Japanese-Hungarian Lab., Budapest, Hungary

fYear

2010

fDate

3-6 May 2010

Firstpage

815

Lastpage

820

Abstract

Recently, the usage of smart environments has become popular, in order to make everyday living more comfortable and to improve the quality of live of humans. In this paper, a hand posture and gesture modeling and recognition system is introduced, which can be used as an interface to make possible communication with the Intelligent Space by simple hand gestures. The system transforms preprocessed data of the detected hand into a fuzzy hand posture feature model by using fuzzy neural networks and based on this model determines the actual hand posture applying fuzzy inference. Finally, from the sequence of detected hand postures, the system can recognize the hand gesture of the user.

Keywords

feature extraction; fuzzy neural nets; gesture recognition; circular fuzzy neural network; fuzzy hand posture feature model; hand gesture recognition system; intelligent space; posture modeling; Fuzzy neural networks; Humans; Intelligent agent; Intelligent networks; Intelligent systems; Mobile robots; Modeling; Monitoring; Motion detection; Ubiquitous computing; Fuzzy Neural Networks; Hand Gesture Recognition; Hand Posture Modeling; Intelligent Space; iSpace;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference (I2MTC), 2010 IEEE

Conference_Location

Austin, TX

ISSN

1091-5281

Print_ISBN

978-1-4244-2832-8

Electronic_ISBN

1091-5281

Type

conf

DOI

10.1109/IMTC.2010.5488145

Filename

5488145