Suppr超能文献

优化汉字显示可提高模拟不规则光幻视图的识别和阅读性能。

Optimizing Chinese character displays improves recognition and reading performance of simulated irregular phosphene maps.

机构信息

School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.

出版信息

Invest Ophthalmol Vis Sci. 2013 Apr 26;54(4):2918-26. doi: 10.1167/iovs.12-11039.

Abstract

PURPOSE

A visual prosthesis may elicit an irregular phosphene map relative to a regular electrode array. This study used simulated irregular phosphene maps as a way of optimizing the display methods of Chinese characters (CCs) to improve recognition and reading performance.

METHODS

TWENTY SUBJECTS WITH NORMAL OR CORRECTED SIGHT PARTICIPATED IN TWO EXPERIMENTS (9 FEMALES, 11 MALES, 2030 YEARS OF AGE). EXPERIMENT 1: two character display methods were proposed: selecting phosphenes covered by character strokes on a simulated phosphene array (projection method) and finding the phosphene closest to the expected location in some range of an irregular phosphene array as a substitute (nearest neighbor search [NNS] method). The recognition accuracy of CCs was investigated using six levels for the coverage ratio of stroke and phosphene area and for search range, respectively, for two methods, for several irregularity levels. Experiment 2: reading accuracy (RA) and reading efficiency (RE) were measured using the regular array correspondence and NNS methods.

RESULTS

EXPERIMENT 1: projection and NNS methods were significantly affected by coverage ratio or search range. NNS significantly improved CC recognition accuracy to the highest at 81.3 ± 2.7% and 59.1 ± 5.2%, respectively, for different irregularity levels, compared with the projection method. Experiment 2: RA and RE significantly decreased as the distortion level increased; NNS significantly improved RA (from approximately 40% to >80%) and RE (from approximately 13 char/min to >40 char/min) when reading more irregular paragraphs.

CONCLUSIONS

The performance of CC recognition and paragraph reading when using an irregular phosphene array can be improved through optimizing the display method.

摘要

目的

视觉假体可能会产生相对于规则电极阵列不规则的闪光图。本研究使用模拟的不规则闪光图作为优化汉字(CCs)显示方法的一种方式,以提高识别和阅读性能。

方法

20 名视力正常或矫正的受试者参加了两项实验(9 名女性,11 名男性,20-30 岁)。实验 1:提出了两种字符显示方法:在模拟的闪光图上选择覆盖字符笔画的闪光(投影方法)和在不规则闪光图的某个范围内找到最接近预期位置的闪光作为替代物(最近邻搜索[NNS]方法)。使用两种方法,针对六个笔画与闪光区域的覆盖比和搜索范围级别,分别研究了 CCs 的识别准确率,以及不同不规则程度的级别。实验 2:使用规则阵列对应和 NNS 方法测量阅读准确率(RA)和阅读效率(RE)。

结果

实验 1:投影和 NNS 方法均受到覆盖比或搜索范围的显著影响。与投影方法相比,NNS 方法在不同的不规则程度下,显著提高了 CC 识别准确率,分别达到 81.3±2.7%和 59.1±5.2%。实验 2:随着失真水平的增加,RA 和 RE 显著降低;当阅读更多不规则段落时,NNS 显著提高了 RA(从大约 40%提高到>80%)和 RE(从大约 13 个字符/分钟提高到>40 个字符/分钟)。

结论

通过优化显示方法,可以提高使用不规则闪光阵列时 CC 识别和段落阅读的性能。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验