Determining subunits for sign language recognition by evolutionary cluster-based segmentation of time series

Authors:
Mariusz Oszust;Marian Wysocki
Affiliations:
Rzeszow University of Technology, Department of Computer and Control Engineering, Rzeszow, Poland;Rzeszow University of Technology, Department of Computer and Control Engineering, Rzeszow, Poland
Venue:
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Year:
2010

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Abstract

The paper considers partitioning time series into subsequences which form homogeneous groups. To determine the cut points an evolutionary optimization procedure based on multicriteria quality assessment of the resulting clusters is applied. The problem is motivated by automatic recognition of signed expressions, based on modeling gestures with subunits, which is similar to modeling speech by means of phonemes. In the paper the problem is formulated, its solution method is proposed and experimentally verified.