C4.5: programs for machine learning
C4.5: programs for machine learning
PlanMine: Predicting Plan Failures Using Sequence Mining
Artificial Intelligence Review - Issues on the application of data mining
Multivariate Time Series Prediction via Temporal Classification
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Handwriting and Signature: One or Two Personality Identifiers?
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences
An Approach to Identify Unique Styles in Online Handwriting Recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Directional features in online handwriting recognition
Pattern Recognition
Fast large-scale spectral clustering by sequential shrinkage optimization
ECIR'07 Proceedings of the 29th European conference on IR research
A probabilistic model for clustering text documents with multiple fields
ECIR'07 Proceedings of the 29th European conference on IR research
Hi-index | 0.00 |
In this paper we present COACH - a Cumulative Online Algorithm for Classification of Handwriting deficiencies. A description of our algorithm along with a performance evaluation of COACH on real data is provided. COACH is an innovative algorithm designed for building an online handwriting evaluation tool to be used for classifying and remediating handwriting deficiencies. COACH adapts learning and data mining techniques from AI to handwriting deficiency classification in an innovative fashion. Until now handwriting classification has been performed manually by trained therapists causing expensive and subjective evaluation. This application lowers the cost of evaluation, increases objectiveness, and enables repeated testing that can accompany therapy. COACH is evaluated on real data obtained from children with poor handwriting using a digitizer tablet. Results show that COACH manages to successfully differentiate between poor to proficient handwriting. Differentiation is obtained even after using data from only a few words. These results prove that COACH is a promising emerging application for online evaluation.