Blink-to-code: real-time Morse code communication via eye blink detection and classification
This provides a low-cost assistive communication method for people with severe motor impairments, though it is incremental as it builds on existing eye blink detection and Morse code concepts.
The study tackled the problem of enabling communication for individuals with severe motor impairments by developing a real-time system that translates voluntary eye blinks into Morse code, achieving 62% decoding accuracy and 18-20 seconds response times in experiments with five participants.
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.