This study proposes a real-time system that translates voluntary eye blinks into Morse code, enabling communication for individuals with severe motor impairments. Using a standard webcam and computer vision, the system detects and classifies blinks as short (dot) or long (dash), then decodes them into alphanumeric characters. Experiments with five participants show 62% decoding accuracy and 18-20 seconds response times, demonstrating a viable, low-cost assistive communication method.
@article{arxiv.2508.09344,
title = {Blink-to-code: real-time Morse code communication via eye blink detection and classification},
author = {Anushka Bhatt},
journal= {arXiv preprint arXiv:2508.09344},
year = {2025}
}
Comments
4 pages, 4 figures. Preprint on blink-based Morse code communication via webcam for assistive technology. Relevant to computer vision and human-computer interaction