InfraNotes: Inconspicuous Handwritten Trajectory Tracking for Lecture Note Recording with Infrared Sensors

TL;DR

InfraNotes is a non-intrusive infrared sensor system that automatically captures and processes lecturer handwriting trajectories to generate clear lecture notes without special accessories.

Contribution

The paper introduces a novel infrared sensor-based system that records handwritten lecture notes automatically without requiring special writing tools or infrastructure.

Findings

InfraNotes effectively captures handwritten trajectories with high accuracy.

Generated lecture notes are clear and suitable for character recognition.

System does not need special accessories or infrastructure.

Abstract

Lecture notes are important for students to review and understand the key points in the class. Unfortunately, the students often miss or lose part of the lecture notes. In this paper, we design and implement an infrared sensor based system, InfraNotes, to automatically record the notes on the board by sensing and analyzing hand gestures of the lecturer. Compared with existing techniques, our system does not require special accessories with lecturers such as sensor-facilitated pens, writing surfaces or the video-taping infrastructure. Instead, it only has an infrared-sensor module on the eraser holder of black/white board to capture handwritten trajectories. With a lightweight framework for handwritten trajectory processing, clear lecture notes can be generated automatically. We evaluate the quality of lecture notes by three standard character recognition techniques. The results indicate that InfraNotes is a promising solution to create clear and complete lectures to promote the education.