Automatic Extraction of Sigma-Lognormal Parameters on Signatures

Prior publications have highlighted that the SigmaLognormal model is one of the most suitable representation for the analysis of complex movement kinematics [1]. So far, the extraction of parameters from experimental data has been done interactively. This is a process that might become awkward when applied to large databases. This limitation has restrained the use of the model as a framework for human movement analysis, particularly in the field of on-line processing of handwriting. In this paper, a short overview of Sigma-Lognormal paradigm and the key steps for the development of a completely automatic sigma-lognormal parameter extractor for complex human movements are presented. Initial results on the automatic extraction of parameters from on-line signatures are also reported.

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