Suppr超能文献

一种用于辅助性沟通与控制的基于眼电图的二元扫视序列分类(BSSC)技术。

An electrooculogram-based binary saccade sequence classification (BSSC) technique for augmentative communication and control.

作者信息

Keegan Johnalan, Burke Edward, Condron James

机构信息

School of Electrical Engineering Systems, Dublin Institute of Technology, Kevin St., Dublin 8, Ireland.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:2604-7. doi: 10.1109/IEMBS.2009.5335325.

Abstract

In the field of assistive technology, the electrooculogram (EOG) can be used as a channel of communication and the basis of a man-machine interface. For many people with severe motor disabilities, simple actions such as changing the TV channel require assistance. This paper describes a method of detecting saccadic eye movements and the use of a saccade sequence classification algorithm to facilitate communication and control. Saccades are fast eye movements that occurs when a person's gaze jumps from one fixation point to another. The classification is based on pre-defined sequences of saccades, guided by a static visual template (e.g. a page or poster). The template, consisting of a table of symbols each having a clearly identifiable fixation point, is situated within view of the user. To execute a particular command, the user moves his or her gaze through a pre-defined path of eye movements. This results in a well-formed sequence of saccades which are translated into a command if a match is found in a library of predefined sequences. A coordinate transformation algorithm is applied to each candidate sequence of recorded saccades to mitigate the effect of changes in the user's position and orientation relative to the visual template. Upon recognition of a saccade sequence from the library, its associated command is executed. A preliminary experiment in which two subjects were instructed to perform a series of command sequences consisting of 8 different commands are presented in the final sections. The system is also shown to be extensible to facilitate convenient text entry via an alphabetic visual template.

摘要

在辅助技术领域,眼电图(EOG)可作为一种通信渠道和人机界面的基础。对于许多严重运动障碍患者来说,诸如换电视频道这样的简单动作都需要他人协助。本文描述了一种检测眼球扫视运动的方法以及使用扫视序列分类算法来促进通信和控制。扫视是指当人的目光从一个注视点跳到另一个注视点时发生的快速眼球运动。该分类基于预定义的扫视序列,由静态视觉模板(如页面或海报)引导。该模板由一个符号表组成,每个符号都有一个清晰可识别的注视点,位于用户的视野范围内。为了执行特定命令,用户通过预定义的眼球运动路径移动其目光。这会产生一个格式良好的扫视序列,如果在预定义序列库中找到匹配项,该序列将被转换为一个命令。应用坐标变换算法对每个记录的扫视候选序列进行处理,以减轻用户相对于视觉模板的位置和方向变化的影响。一旦从库中识别出扫视序列,就会执行其相关命令。最后部分展示了一个初步实验,其中两名受试者被指示执行一系列由8个不同命令组成的命令序列。该系统还被证明可扩展,以通过字母视觉模板方便地进行文本输入。

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