Train SizeTest SizeLength Number of ClassesNumber of DimensionsType
1422 14360 203MOTION
Data Source: Link Here
Donated By: Ben H Williams, UCI
Description:

This datset is from the UCI archive.

The data consists of 2858 character samples, The data was captured using a WACOM tablet. three Dimensions were kept - x, y, and pen tip force. The data has been numerically differentiated and Gaussian smoothed, with a sigma value of 2.

Data was captured at 200Hz. The data was normalised. Only characters with a single 'PEN-DOWN' segment were considered. The characters were used for a PhD study on primitive extraction using HMM based models.

Character segmentation was performed using a pen tip force cut-off point. The characters have also been shifted so that their velocity profiles best match the mean of the set. Each instance is a 3-dimensional pen tip velocity trajectory.

The data has different length cases. The class label is one of 20 characters 'a' 'b' 'c' 'd' 'e' 'g' 'h' 'l' 'm' 'n' 'o' 'p' 'q' 'r' 's' 'u' 'v' 'w' 'y' 'z' Relevant Papers:

  • [1] B.H. Williams, M.Toussaint, and A.J. Storkey. Extracting motion primitives from natural handwriting data. In ICANN, volume 2, 2006.
  • [2] B.H. Williams, M.Toussaint, and A.J. Storkey. A primitive based generative model to infer timing information in unpartitioned handwriting data. In IJCAI, 2007.
  • [3] B.H. Williams, M. Toussaint, and A.J. Storkey. Modelling motion primitives and their timing in biologically executed movements. In J.C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Advances in Neural Information Processing Systems 20, 2008.
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