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Title: Character Trajectories Data Set
Abstract: Multiple, labelled samples of pen tip trajectories recorded whilst
writing individual characters. All samples are from the same writer, for the
purposes of primitive extraction. Only characters with a single pen-down segment
were considered.
-----------------------------------------------------
Data Set Characteristics: Time-Series
Number of Instances: 2858
Area: Computer
Attribute Characteristics: Real
Number of Attributes: 3
Date Donated: 2008-08-20
Associated Tasks: Classification, Clustering
Missing Values? N/A
-----------------------------------------------------
Source:
Ben H Williams
School of Informatics,
University of Edinburgh,
ben.williams 'at' ed.ac.uk
-----------------------------------------------------
Data Set Information:
The characters here were used for a PhD study on primitive extraction using HMM
based models. The data consists of 2858 character samples, contained in the cell
array 'mixout'. The struct variable 'consts' contains a field consts.charlabels
which provides ennummerated labels for the characters. consts.key provides the
key for each label. The data was captured using a WACOM tablet. 3 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 with consts.datanorm. Only characters with a
single 'PEN-DOWN' segment were considered. 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.
-----------------------------------------------------
Attribute Information:
Each character sample is a 3-dimensional pen tip velocity trajectory. This is
contained in matrix format, with 3 rows and T columns where T is the length of
the character sample.