PADCAM: A Human-Centric Perceptual Interface for Temporal Recovery of Pen-Based Input

Amay Champaneria and Larry Rudolph

We present a perceptual interface for pen-based input that uses live video of handwriting and recovers the time-ordered sequence of strokes that were written. Our system employs a novel algorithm for page detection and explores the use of frame differencing and pen tracking to reconstruct the temporal information in the input video sequence. We present the design and implementation of PADCAM, a working prototype of the proposed pen-based input capture system, as well as the preliminary results, which are very encouraging.

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