基于眼电的字符输入系统

目前无障碍人机交互系统的设备普遍昂贵和体积较大,无法真正走入残疾人的日常生活问题.为了开发出一套低成本、高精度、便携的无障碍字符输入系统,设计了一套基于眼电的字符输入系统,提出了一种基于区域优化的闪烁字符交互方式,并在识别目标字符算法上提出了动态阈值算法进行优化.实验表明,该系统实现了使用成本低于1000元的设备,识别准确率达97.73%,接近到100%,平均字符输入速率达1.95个/min的效果.

Character Input System Based on Eye Electricity

Nowadays, the barrier-free device in the human-computer interaction system is generally extremely expensive and its volume is large, which fail to really walk into the daily lives of people with disabilities. To develop a set of low cost, high precision, portable barrier-free character input system, this study designs a set of character input system based on EOG (Electro-OculoGram), puts forward a flashing character interaction based on regional optimization, and optimizes the dynamic threshold algorithm for identifying target character algorithm. Experiments showed that the system has realized the identification accuracy of 97.73%, nearly 100%, using equipment which costs less than RMB1000, and average character input rate of 1.95 characters/min.