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Benchmarking Online Sequence-to-Sequence and Character-based Handwriting Recognition from IMU-Enhanced Pens
While there exist many offline HWR datasets, there is only little data available for the development of OnHWR methods on paper as it requires hardware-integrated pens.
Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer
This system is applicable in real-world applications and requires no user-specific training for recognition.
Towards an IMU-based Pen Online Handwriting Recognizer
Most online handwriting recognition systems require the use of specific writing surfaces to extract positional data.
Stride Length Estimation with Deep Learning
The achieved precision outperforms state-of-the-art methods evaluated on this benchmark dataset by 3. 0 cm (36%).
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