Write on Paper and Get the Online Digital Trace:\newline A New Era for Handwriting

2026-09-11

AI Summary

本文提出了一种结合数字笔和先进人工智能算法的创新方案，以在普通纸上书写时捕捉手写轨迹，实现无延迟且低成本的手写数字化。

Abstract

Capturing the digital trace of handwriting usually requires a specific stylus and a compatible substrate, be it a capacitive touchscreen, an ElectroMagnetic Resonance (EMR) tablet as used in Wacom systems or special paper. While writing on regular paper offers rich haptics, no latency and is well known for improving information retention, no low-cost and widely accepted, effective solution exists to digitize such a pen trace. The challenge is to accurately track the pen's trajectory without an external reference system while allowing unrestricted freedom of pen movement across a surface. We propose an innovative solution that combines a digital pen, advanced artificial intelligence algorithms, and adaptive AI techniques to reconstruct the digital trace of handwriting. Our approach integrates hardware development, focusing on a sensor-equipped pen, with software innovations to optimize trajectory reconstruction and processing in real time using an embedded AI. This work aims to advance the state-of-the-art in automated trace reconstruction of handwriting, enabling a seamless connection between traditional handwriting on paper and capturing the trace digitally.

Problem

• handwriting
• digital trace
• regular paper

Innovation

• digital pen
• artificial intelligence algorithms
• adaptive AI techniques
• real-time trajectory reconstruction