Blink-to-code: real-time Morse code communication via eye blink detection and classification

Anushka Bhatt
8/12/2025
cs.CV

No official code found. Best implementation: B-Mohid/morse-code-eye-blink-detection (5 stars, MIT, last commit 2025-06-12).

Abstract

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.

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Code Implementations(1)

B-Mohid/morse-code-eye-blink-detectionCommunity72%
MIT

Real-time Morse code communication through eye blink detection using computer vision and machine learning.

50HTML, PythonJun 12, 20251 years agoMIT

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Cite this paper

@article{bhatt2025blinktocode,
  title  = {Blink-to-code: real-time Morse code communication via eye blink detection and classification},
  author = {Anushka Bhatt},
  year   = {2025},
  eprint = {2508.09344},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2508.09344v2}
}

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