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.
Merrill-Palmer Quarterly 52(4), 755–778 (2006)
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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.