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Reading pixelized paragraphs of Chinese characters using simulated prosthetic vision
1School of Biomedical Engineering, Jiao Tong University, Shanghai, China.
Investigative Ophthalmology & Visual Science
|June 23, 2011
Summary
This study found that character size, resolution, and pixel dropout significantly impact reading pixelized Chinese text. Optimal visual prostheses for Chinese reading may need more electrodes than those for Latin alphabets.
Area of Science:
- Vision science
- Biomedical engineering
- Human-computer interaction
Background:
- Visual prostheses aim to restore reading for the blind.
- Simulating reading with pixelized text is an active research area.
Purpose of the Study:
- To examine reading accuracy and efficiency of pixelized Chinese paragraphs.
- To investigate the effect of altered parameters on pixelized reading.
Main Methods:
- Forty native Chinese speakers participated in four experiments.
- Reading accuracy and efficiency were measured by altering character resolution, size, pixel dropout, gray levels, and luminance.
Main Results:
- Optimal character size for pixelized reading was 5° × 5°.
- 10 × 10 pixels/character yielded near 100% accuracy, while 6 × 6 pixels/character yielded ~60% accuracy.
- Pixel dropout severely impacted accuracy; 50% dropout made paragraphs unreadable. Gray levels significantly affected performance, while luminance had minimal effect.
Conclusions:
- Character size, resolution, pixel dropout, and gray levels are critical for pixelized Chinese paragraph reading.
- Pixelized Chinese paragraph reading is more accurate than character recognition.
- Optimal visual prostheses for Chinese reading may require more electrodes (1000) than for Latin alphabets (500).
