AI RESEARCH
Robust and Efficient Writer-Independent IMU-Based Handwriting Recognition
arXiv CS.LG
•
ArXi:2502.20954v3 Announce Type: replace Handwriting recognition (HWR) using inertial measurement unit (IMU) data remains challenging due to variations in writing styles and the limited availability of datasets. Previous approaches often struggle with handwriting from unseen writers, making writer-independent (WI) recognition a crucial yet difficult problem. This paper presents a model designed to improve WI HWR on IMU data, using a CNN encoder and BiLSTM-based decoder.