1. Bloom, V., Argyriou, V., Makris, D.: Linear latent low dimensional space for online early action recognition and prediction. Pattern Recogn. 72, 532–547 (2017). https://doi.org/10.1016/j.patcog.2017.07.003
2. Boulahia, S.Y., Anquetil, E., Multon, F., Kulpa, R.: Détection précoce d’actions squelettiques 3D dans un flot non segmenté à base de modèles curvilignes. In: Reconnaissance des Formes. Image, Apprentissage et Perception, RFIAP 2018, June 2018, Paris, France, pp. 1–8 (2018)
3. Carreira, J., Zisserman, A.: Quo vadis, action recognition? A new model and the kinetics dataset. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017). https://doi.org/10.1109/CVPR.2017.502
4. Chen, Z., Anquetil, E., Viard-Gaudin, C., Mouchère, H.: Early recognition of handwritten gestures based on multi-classifier reject option. In: 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), vol. 01, pp. 212–217 (2017). https://doi.org/10.1109/ICDAR.2017.43
5. Chen, Z., Anquetil, E., Mouchère, H., Viard-Gaudin, C.: Recognize multi-touch gestures by graph modeling and matching. In: 17th Biennial Conference of the International Graphonomics Society. Drawing, Handwriting Processing Analysis: New Advances and Challenges. International Graphonomics Society (IGS) and Université des Antilles (UA), Pointe-a-Pitre, Guadeloupe (June 2015)