Why triangular membership functions?
Fuzzy Sets and Systems
Clinical monitoring with fuzzy automata
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
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Inertial proprioceptive devices: self-motion-sensing toys and tools
IBM Systems Journal
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A segment-wise time warping method for time scaling searching
Information Sciences—Informatics and Computer Science: An International Journal
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Pattern Recognition
Real time gesture recognition using continuous time recurrent neural networks
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Information Sciences: an International Journal
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Fuzzy Sets and Systems
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ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
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IEEE Transactions on Fuzzy Systems
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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In this paper, we propose a syntactic pattern recognition approach based on fuzzy automata, which can cope with the variability of patterns by defining imprecise models. This approach is called temporal fuzzy automata as it allows the inclusion of time restrictions to model the duration of the different states. The concept of fuzzy state makes it possible to handle ambiguity as the automaton can be in several states at the same time. Another advantage of our approach is the capability to synchronize with the signal, which allows us to avoid the segmentation stage before the recognition process. Furthermore, a learning method based on dynamic time warping is provided that makes it possible to automatically generate models. Finally, to demonstrate the performance and robustness of this approach, we have applied it to the recognition of hand gestures without any kind of signal preprocessing.