Text input, which is essential for a variety of applications, is one of the most difficult operations for older people. So, we propose a prototype to automatically detect and input text from a natural image taken from a user's smartphone. For the evaluation of the system, 232 photo data taken by the actual people were prepared. When all data was processed on the server, the average processing time was less than 10 seconds, and the overall recognition rate was over 94%. For user study, 20 healthy older people aged 65 years or older were collected. And, after conducting a simulation with the conventional typing system, the prototype in this proposal was asked to be used. The time required to complete each work was recorded, and the usability was evaluated using System Usability Scale (SUS).

中文翻译：

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用于电力阅读单自然图像的强大字符输入支持系统的开发和用户评估

文本输入对于各种应用程序至关重要，对于老年人来说是最困难的操作之一。因此，我们提出了一个原型，可以自动检测并输入从用户智能手机拍摄的自然图像中的文本。为了对系统进行评估，准备了 232 张真人拍摄的照片数据。当所有数据都在服务器上处理时，平均处理时间不到10秒，整体识别率超过94%。为了进行用户研究，收集了 20 名 65 岁或以上的健康老年人。并且，在对传统打字系统进行模拟后，要求使用本提案中的原型。记录完成每项工作所需的时间，并使用系统可用性量表（SUS）评估可用性。