KIHT: Kaligo-based Intelligent Handwriting Teacher

Tanja Harbaum (1) , Alexey Serdyuk (1) , Fabian Kreß (1) , Tim Hamann (2) , Jens Barth (2) , Peter Kämpf (2) , Florent Imbert (3, 4, 5) , Yann Soullard (3, 6, 5) , Romain Tavenard (6, 7, 8) , Eric Anquetil (3, 4, 5) , Jessica Delahaie (9)

1 KIT - Karlsruhe Institute of Technology
2 Stabilo
3 IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires
4 INSA Rennes - Institut National des Sciences Appliquées - Rennes
5 SHADOC - Systems for Hybrid Analysis of DOCuments
6 UR2 - Université de Rennes 2
7 OBELIX - Observation de l’environnement par imagerie complexe
8 LETG - Rennes - Littoral, Environnement, Télédétection, Géomatique
9 Learn&Go

Kaligo-based Intelligent Handwriting Teacher (KIHT) is a bi-nationally funded research project. The aim of this joint project is to develop an intelligent learning device for automated handwriting, composed of existing components, which can be made available to as many students as possible. With KIHT, we specifically address the challenging task of using inertial sensors to retrace the trajectory of a pen without relying on external reference systems. The nearly unlimited freedom to let the pen glide over the paper has not yet provided a satisfactory solution to this challenge in the state-of-the-art methods, even with sophisticated algorithms and AI approaches. Together with partners from industry and academia, we are taking a holistic approach by considering the entire chain of components, from the pen to the embedded processing system, the algorithms and the app.

Domains: Computer Science [cs]; Artificial Intelligence [cs.AI]; Embedded Systems; Human-Computer Interaction [cs.HC]

Tanja Harbaum, Alexey Serdyuk, Fabian Kreß, Tim Hamann, Jens Barth, et al.. KIHT: Kaligo-based Intelligent Handwriting Teacher. DATE 2024, Mar 2024, Valencia, Spain. ⟨hal-04359877⟩