基于眼电图的iOS控制器用于四肢瘫痪或神经退行性疾病患者

Bryce O'Bard, A. Larson, Joshua Herrera, Dominic Nega, K. George
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引用次数: 11

摘要

随着平板电脑和手机的使用成为世界各地获取信息、娱乐和交流的标准媒介,人们对这些设备的依赖程度大大增加。对于四肢瘫痪或神经退行性疾病患者,由于其固有的触摸屏设计,这些移动设备的访问受到极大阻碍。如今,这类患者可用的辅助技术解决方案要求患者家属投资数千美元购买独立的平板电脑系统。很少有已知的选择可以让这些患者连接到他们现有的平板电脑或智能手机上,这些设备已经可以访问可以帮助他们进行交流和日常活动的应用程序。出于这个原因,我们在本文中提出了一种低成本的商用现货(COTS)辅助通信设备,允许有这种条件的个人通过从他们的眼球运动中捕获的眼电信号访问基于iOS的设备。信号通过放置在用户面部眼睛周围的电极捕获。这些信号经过过滤、放大和处理,以检测映射到iOS设备的关键眼动,从而执行控制输出。通过打字测试的管理来测试通信能力,以测量每分钟输入的字符数(cpm)。该设备的测试包括由健康受试者和ALS患者进行的定向任务的定时试验。测试结果表明,用户使用该设备平均可以输入3.25 ~ 6.11 cpm,平均准确率为89%。在手机上使用一个更合适的键盘应用程序可以显著改善这一点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electrooculography Based iOS Controller for Individuals with Quadriplegia or Neurodegenerative Disease
As the use of tablet computers and cell phones has become a standard medium of access to information, entertainment, and communication around the world, the reliance on having access to such devices has increased tremendously. For individuals with quadriplegia or neurodegenerative diseases, the access to these mobile devices is greatly hindered due to their inherent touchscreen design. Assistive technology solutions available to such patients today require families of patients to invest thousands of dollars in standalone tablet systems. There are few known options for allowing such patients to connect to their existing tablets or smartphones, which already have access to apps that can assist them in communication and daily activities. For this reason, we present in this paper a low-cost commercial off the shelf (COTS) assistive communication device to allow individuals with such conditions to access iOS based devices through electrooculography signals captured from their eye movements. Signals are captured through electrodes placed on the users face around the eyes. These signals are filtered, amplified, and processed to detect key eye movements mapped to perform control outputs sent to the iOS device. The communication capabilities are tested through the administration of a typing test to measure characters typed per minute (cpm). Testing of the device includes timed trials of directed tasks carried out by both healthy subjects and patients with ALS (PALS). It was determined that a user can type an average of 3.25 ~ 6.11 cpm using the device with an average accuracy of 89%. This could be significantly improved using a better suited keyboard application on the phone.
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