Kinematic handwriting features from the sigma-lognormal model predict children's grade, gender, and academic performance on a large Japanese student dataset using regression and random forest models.
In: 2016 24th Signal Processing and Communication Application Confer- ence (SIU)
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Prediction of Grade, Gender, and Academic Performance of Children and Teenagers from Handwriting Using the Sigma-Lognormal Model
Kinematic handwriting features from the sigma-lognormal model predict children's grade, gender, and academic performance on a large Japanese student dataset using regression and random forest models.