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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., 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., 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
