Character Trajectories
Donated on 8/19/2008
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.
Dataset Characteristics
Time-Series
Subject Area
Computer Science
Associated Tasks
Classification, Clustering
Feature Type
Real
# Instances
2858
# Features
-
Dataset Information
Additional 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.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no |
0 to 3 of 3
Additional Variable 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.
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset character_trajectories = fetch_ucirepo(id=175) # data (as pandas dataframes) X = character_trajectories.data.features y = character_trajectories.data.targets # metadata print(character_trajectories.metadata) # variable information print(character_trajectories.variables)
Williams,Ben. (2008). Character Trajectories. UCI Machine Learning Repository. https://doi.org/10.24432/C58G7V.
@misc{misc_character_trajectories_175,
author = {Williams,Ben},
title = {{Character Trajectories}},
year = {2008},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C58G7V}
}Creators
Ben Williams
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.