KimCHI: Sketch-Based Development Classifier for Children
Citation
H. Kim, P. Taele, S. Valentine, E. Mctigue, and T. Hammond, “KimCHI : A Sketch-Based Developmental Skill Classifier to Enhance Pen-Driven Educational Interfaces for Children,” pp. 33–42, 2013.
This paper gets its motivation from the fact that the sketching habits/skills can tell us a lot about the user/person. The author uses this concept to develop a Machine-Learning based Sketch interface that can predict the age, developmental levels in children, adults etc. This can also be further used to improve the Sketch designing interfaces. This is used for determining the developmental disorders among the people of various ages by using the standard sketch based tests.
The Technique/Approach
In order to achieve the objective, the children were asked to draw three different kinds of sketches:
- Simple Shape Tracing without any external help/instructions.
- Drawing a shape as quickly as possible.
- Drawing a shape as slowly as possible.
As a part of this experiment, children of different ages were asked to draw sketches and 725 such sketches were collected from them. These sketches were carefully chosen so as to ensure that various geometric as well as gesture based features get collected required for the correct prediction of children's age. The authors used 10-fold cross-validation to classify the children’s developmental progress and gender. Out of the 8 classifiers that were tried, the combination of Random forests and Bagging performed the best.
Thoughts and Further research:
The idea is a very good one and can be further used to determine the user attributes like activeness/sleepiness, state of mind (attentive etc)
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