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| Main Author: | |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.09344 |
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| _version_ | 1866918128828547072 |
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| author | Bhatt, Anushka |
| author_facet | Bhatt, Anushka |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_09344 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Blink-to-code: real-time Morse code communication via eye blink detection and classification Bhatt, Anushka Computer Vision and Pattern Recognition 68T45, 92C55 H.5.2; I.2.10; J.3 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. |
| title | Blink-to-code: real-time Morse code communication via eye blink detection and classification |
| topic | Computer Vision and Pattern Recognition 68T45, 92C55 H.5.2; I.2.10; J.3 |
| url | https://arxiv.org/abs/2508.09344 |