Could Sigma-Lognormal Modeling Help Teachers to Characterize the Kinematic Efficiency of Pupils' Cursive Procedures of Handwriting?

Céline Rémi, Jimmy Nagau, Jean Vaillant, Réjean Plamondon. Could Sigma-Lognormal Modeling Help Teachers to Characterize the Kinematic Efficiency of Pupils' Cursive Procedures of Handwriting?. In Réjean Plamondon, Angelo Marcelli, Miguel Ángel Ferrer, editors, The Lognormality Principle and its Applications in e-Security, e-Learning and e-Health. Volume 88 of Series in Machine Perception and Artificial Intelligence, pages 87-116, World Scientific, 2020. [doi]

@incollection{RemiNVP20,
  title = {Could Sigma-Lognormal Modeling Help Teachers to Characterize the Kinematic Efficiency of Pupils' Cursive Procedures of Handwriting?},
  author = {Céline Rémi and Jimmy Nagau and Jean Vaillant and Réjean Plamondon},
  year = {2020},
  doi = {10.1142/9789811226830_0004},
  url = {https://doi.org/10.1142/9789811226830_0004},
  researchr = {https://researchr.org/publication/RemiNVP20},
  cites = {0},
  citedby = {0},
  pages = {87-116},
  booktitle = {The Lognormality Principle and its Applications in e-Security, e-Learning and e-Health},
  editor = {Réjean Plamondon and Angelo Marcelli and Miguel Ángel Ferrer},
  volume = {88},
  series = {Series in Machine Perception and Artificial Intelligence},
  publisher = {World Scientific},
  isbn = {9789811226847},
}