digital pens 1digital pen sensors 1domain adaptation 1educational technology 1handwriting recognition 1handwriting trajectory reconstruction 1imu sensors 1mixture of experts 1online handwriting 1sensor data processing 1trajectory reconstruction 1
From the 2 of 2 linked papers with an AI index.
6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2026★ 1 cited
Domain adaptation for handwriting trajectory reconstruction from IMU sensors
Florent Imbert, Romain Tavenard, Yann Soullard +1
The paper proposes a domain adaptation method to create a unified feature representation for reconstructing handwriting trajectories from IMU-equipped digital pens, addressing sign…
cs.LG2026★ 6 cited
Mixture-of-experts for handwriting trajectory reconstruction from IMU sensors
Florent Imbert, Eric Anquetil, Yann Soullard +1
The paper proposes a mixture-of-experts model to reconstruct online handwriting trajectories from IMU-equipped digital pens, handling both touching and hovering phases, and introdu…