Hand Gesture Recognition in an Interval Fuzzy Approach | Zendy

Benjamín Bedregal | Zendy; Graçaliz Pereira Dimuro | Zendy; A.C.R. Costa | Zendy

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Hand Gesture Recognition in an Interval Fuzzy Approach

Author(s) -

Benjamín Bedregal,

Graçaliz Pereira Dimuro,

A.C.R. Costa

Publication year - 2007

Publication title -

tema (são carlos)

Language(s) - English

Resource type - Journals

eISSN - 2179-8451

pISSN - 1677-1966

DOI - 10.5540/tema.2007.08.01.0021

Subject(s) - gesture , computer science , set (abstract data type) , gesture recognition , wired glove , fuzzy logic , segmentation , interval (graph theory) , artificial intelligence , monotonic function , speech recognition , computer vision , mathematics , programming language , combinatorics , mathematical analysis

This paper introduces an interval fuzzy rule-based method for the recognition of hand gestures acquired from a data glove, with an application to the recognition of hand gestures of the Brazilian Sign Language. To deal with the uncertainties in the data provided by the data glove, an approach based on interval fuzzy logic is used. The method uses the set of angles of finger joints for the classification of hand configurations, and classifications of segments of hand gestures for recognizing gestures. The segmentation of gestures is based on the concept of monotonic gesture segment. Each gesture is characterized by its list of monotonic segments. The set of all lists of segments of a given set of gestures determine a set of finite automata able to recognize such gestures.

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