Towards an IMU-based Pen Online Handwriting Recognizer. - Mohamad Wehbi; Tim Hamann; Jens Barth; Peter Kämpf; Dario Zanca; Björn M. Eskofier (ICDAR (3), 2021)

Surface-Free Multi-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen. - Mohamad Wehbi; Daniel Luge; Tim Hamann; Jens Barth; Peter Kämpf; Dario Zanca; Bjoern M. Eskofier (Sensors, 2022)

ATLAS: An Approximate Time-Series LSTM Accelerator for Low-Power IoT Applications. - Fabian Kreß; Alexey Serdyuk; Micha Hiegle; Disnebio Waldmann; Tim Hotfilter; Julian Höfer; Tim Hamann; Jens Barth; Peter Kämpf; Tanja Harbaum; Jürgen Becker 001 (DSD, 2023)

Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced Pen. - Alexey Serdyuk; Fabian Kreß; Micha Hiegle; Tanja Harbaum; Jürgen Becker 001; Florent Imbert; Yann Soullard; Romain Tavenard; Éric Anquetil; Jens Barth; Peter Kämpf (WF-IoT, 2023)

KIHT: Kaligo-Based Intelligent Handwriting Teacher. - Tanja Harbaum; Alexey Serdyuk; Fabian Kreß; Tim Hamann; Jens Barth; Peter Kämpf; Florent Imbert; Yann Soullard; Romain Tavenard; Éric Anquetil; Jessica Delahaie (DATE, 2024)

Improving Online Handwriting Trajectory Reconstruction Based on Temporal Convolutional Networks. - Alexey Serdyuk; Fabian Kreß; Iuliia Topko; Tanja Harbaum; Jürgen Becker 001; Tim Hamann; Peter Kämpf (SDF, 2024)

Robust and Efficient Writer-Independent IMU-Based Handwriting Recognization. - Jindong Li; Tim Hamann; Jens Barth; Peter Kämpf; Dario Zanca; Björn M. Eskofier (CoRR, 2025)