用眨眼识别摩斯电码，让重度瘫痪者低成本实时沟通
Blink-to-code: real-time Morse code communication via eye blink detection and classification
- 通过摄像头检测眨眼长短，转化为摩斯电码
- 五人实验准确率达62%，响应时间18-20秒
- 适合无手部动作的残障人士日常交流
本研究提出一种基于标准网络摄像头和计算机视觉的实时系统，将自愿性眼睑眨动转化为摩斯电码，实现严重运动障碍者的通信。系统可识别短（点）或长（划）眨眼，并解码为字母数字字符。对五名参与者进行的实验显示，解码准确率为62%，响应时间为18至20秒，验证了该方法在低成本、无障碍通信中的可行性。
原文摘要 · Abstract (English)
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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