SMTS ranked second in the gesture recognition competition

A time-series classification challenge is organized in the context of 2nd ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data. This is a gesture recognition task.

SMTS (Symbolic Representation for Multivariate Time Series) ranked second out of 24 methods with an accuracy of 0.956 on the test data. 

SMTS is a very simple and efficient representation for multivariate time series. Default parameters (as discussed in the paper) simply  achieved to provide a good result for this dataset.

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