!FTL, an Articulation-Invariant Stroke Gesture Recognizer with Controllable Position, Scale, and Rotation Invariances - researchr publication related

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Jean Vanderdonckt, Paolo Roselli, Jorge Luis Pérez-Medina. !FTL, an Articulation-Invariant Stroke Gesture Recognizer with Controllable Position, Scale, and Rotation Invariances. In Sidney K. D'Mello, Panayiotis G. Georgiou, Stefan Scherer, Emily Mower Provost, Mohammad Soleymani, Marcelo Worsley, editors, Proceedings of the 2018 on International Conference on Multimodal Interaction, ICMI 2018, Boulder, CO, USA, October 16-20, 2018. pages 125-134, ACM, 2018. [doi]

The following publications are possibly variants of this publication:

µV: An Articulation, Rotation, Scaling, and Translation Invariant (ARST) Multi-stroke Gesture RecognizerNathan Magrofuoco, Paolo Roselli, Jean Vanderdonckt. pacmhci, 6(EICS):1-25, 2022. [doi]

Recognizing 3D Trajectories as 2D Multi-stroke GesturesMehdi Ousmer, Arthur Sluÿters, Nathan Magrofuoco, Paolo Roselli, Jean Vanderdonckt. pacmhci, 4(ISS), 2020. [doi]

Recognizing a sketched task model by multi-stroke gesture recognitionJorge Luis Pérez-Medina, Karina Beatriz Jimenes Vargas. EICS 2020: [doi]

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