Tim Hamann

According to our database, Tim Hamann authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving Online Handwriting Trajectory Reconstruction Based on Temporal Convolutional Networks.

Alexey Serdyuk, Fabian Kreß, Iuliia Topko, Tanja Harbaum, Jürgen Becker, Tim Hamann, Peter Kämpf

Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2024

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

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

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

Proceedings of the 26th Euromicro Conference on Digital System Design, 2023

2022

Surface-Free Multi-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen.

Mohamad Wehbi, Daniel Luge, Tim Hamann, Jens Barth, Peter Kaempf, Dario Zanca, Bjoern M. Eskofier

Sensors, 2022

Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens.

Felix Ott, David Rügamer, Lucas Heublein, Tim Hamann, Jens Barth, Bernd Bischl, Christopher Mutschler

Int. J. Document Anal. Recognit., 2022

Hardware-aware Workload Distribution for AI-based Online Handwriting Recognition in a Sensor Pen.

Fabian Kreß, Alexey Serdyuk, Tim Hotfilter, Julian Höfer, Tanja Harbaum, Jürgen Becker, Tim Hamann

Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022

2021

Towards an IMU-based Pen Online Handwriting Recognizer.

Mohamad Wehbi, Tim Hamann, Jens Barth, Peter Kaempf, Dario Zanca, Björn M. Eskofier

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2020

The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning.

Felix Ott, Mohamad Wehbi, Tim Hamann, Jens Barth, Björn M. Eskofier, Christopher Mutschler

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer.

Mohamad Wehbi, Tim Hamann, Jens Barth, Bjoern M. Eskofier

Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020