Up a level |
Plamondon, R., Pirlo, G., Anquetil, É., Rémi, C., Teulings, H.-L., & Nakagawa, M. (2018). Personal digital bodyguards for e-security, e-learning and e-health: A prospective survey. Pattern Recognition, 81, 633-659. External link
Duval, T., Rémi, C., Plamondon, R., Valliant, J., & O'Reilly, C. (2015). Combining sigma-lognormal modeling and classical features for analyzing graphomotor performances in kindergarten children. Human Movement Science, 43, 183-200. External link
Plamondon, R., O'Reilly, C., Rémi, C., & Duval, T. (2013). The lognormal handwriter: learning, performing, and declining. Frontiers in Psychology, 4. Available
Plamondon, R., Bensalah, A., Lebel, K., Salameh, R., Séguin de Broin, G., O'Reilly, C., Begon, M., Desbiens, O., Beloufa, Y., Guy, A., Berio, D., Leymarie, F. F., Boyoguéno-Bidias, S.-P., Fischer, A., Zhang, Z., Morin, M.-F., Alamargot, D., Rémi, C., Faci, N., ... Bazinet, C. (2023, October). Lognormality: An Open Window on Neuromotor Control [Paper]. 21st International Conference of the International Graphonomics Society (IGS 2023), Évora, Portugal. External link
Rémi, C., Nagau, J., Vaillant, J., & Plamondon, R. (2021). Could Sigma-Lognormal Modeling Help Teachers to Characterize the Kinematic Efficiency of Pupils' Cursive Procedures of Handwriting? In The Lognormality Principle and its Applications in e-Security, e-Learning and e-Health (Vol. 88, pp. 87-116). External link