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Leiva, L. A., Diaz, M., Ferrer, M. A., & Plamondon, R. (janvier 2021). Human or Machine? It Is Not What You Write, But How You Write It [Communication écrite]. 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italie. Lien externe
Leiva, L. A., Martín-Albo, D., Vatavu, R.-D., & Plamondon, R. (2021). Stroke Gesture Synthesis in Human-Computer Interaction. Dans The Lognormality Principle and its Applications in e-Security, e-Learning and e-Health (Vol. 88, 21-235). Lien externe
Leiva, L. A., Vatavu, R.-D., Martin-Albo, D., & Plamondon, R. (2020). Omnis Praedictio: Estimating the full spectrum of human performance with stroke gestures. International Journal of Human Computer Studies, 142, 17 pages. Lien externe
Leiva, L. A., Martín-Albo, D., & Plamondon, R. (mai 2018). Gesture synthesis for human-computer interaction [Communication écrite]. International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2018), Montréal, Québec (4 pages). Lien externe
Leiva, L. A., Martin-Albo, D., Plamondon, R., & Vatavu, R.-D. (avril 2018). KeyTime: Super-accurate prediction of stroke gesture production times [Communication écrite]. CHI Conference on Human Factors in Computing Systems (CHI 2018), Montréal, Québec (12 pages). Lien externe
Leiva, L. A., Martín-Albo, D., & Plamondon, R. (2017). The kinematic theory produces human-like stroke gestures. Interacting with Computers, 29(4), 552-565. Lien externe
Leiva, L. A., Martin-Albo, D., Plamondon, R., & Vidal, E. (avril 2015). Gestures à go go: Authoring synthetic human-like gestures using the kinematic theory of rapid movements [Communication écrite]. CHI 2015, Seoul, Korea (10 pages). Non disponible
Leiva, L. A., Martin-Albo, D., & Plamondon, R. (2015). Gestures à go go: Authoring synthetic human-like stroke gestures using the kinematic theory of rapid movements. ACM Transactions on Intelligent Systems and Technology, 7(2), 1-29. Lien externe
Martin-Albo, D., Leiva, L. A., & Plamondon, R. (octobre 2016). On the design of personal digital bodyguards: Impact of hardware resolution on handwriting analysis [Communication écrite]. 15th International Conference on Frontiers in Handwriting Recognition (ICFHR 2016), Shenzhen, China. Lien externe
Martín-Albo, D., Leiva, L. A., Huang, J., & Plamondon, R. (2016). Strokes of insight: User intent detection and kinematic compression of mouse cursor trails. Information Processing & Management, 52(6), 989-1003. Lien externe
Ungurean, O.-C., Vatavu, R.-D., Leiva, L. A., & Plamondon, R. (avril 2018). Gesture input for users with motor impairments on touchscreens: Empirical results based on the kinematic theory [Communication écrite]. CHI Conference on Human Factors in Computing Systems, Montréal, Québec (6 pages). Lien externe
