Age-Adaptive Handwriting Reconstruction from an IMU-Based Digital Pen through Shared Representations and Domain-Specific Heads
A cross-domain learning model is proposed, using an original neural network architecture based on a Temporal Convolutional Network and multiple prediction heads, designed to improve handwriting trace reconstruction from sensor data, where each domain benefits from additional data provided by the other domain.
Florent Imbert, Yann Soullard, Éric Anquetil et al.
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