Abstract
Ever since the assemblage of the first computer, efforts have been made to improve the way people could use machines. This ambition is still present nowadays: indeed, intuitively operated systems are currently under intensive research. Intelligent Space (or iSpace) based systems are good examples: they strive to be comfortable and easy to use, even without demanding technical knowledge from their users. However, their aim is not limited to this: in fact, their ultimate goal is to achieve an intelligent environment for higher quality, natural, and easy to follow lifestyle. The system described in this chapter can be used to create a new, intuitive man-machine interface for iSpace applications. The solution exploits one of the basic human skills, namely the ability to assume various hand postures. The proposed system first processes the frames of a stereo camera pair and builds a model of the hand posture visible on the images and then classifies this model into one of the previously stored hand posture models, by using neural networks and fuzzy reasoning.
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Tóth, A.A., Tusor, B., Várkonyi-Kóczy, A.R. (2010). Fuzzy Hand Posture Models in Man-Machine Communication. In: Rudas, I.J., Fodor, J., Kacprzyk, J. (eds) Computational Intelligence in Engineering. Studies in Computational Intelligence, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15220-7_19
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DOI: https://doi.org/10.1007/978-3-642-15220-7_19
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