文献类型：期刊文献

英文题名：Real-time estimation system of the gaze position based on an electrooculogram

作者：Zhang, Xiu[1,3];Sugi, Takenao[2];Wang, Xingyu[1];Nakamura, Masatoshi[3]

机构：[1]East China Univ Sci & Technol, Dept Automat, 130 St Meilong, Shanghai, Peoples R China;[2]Saga Univ, Dept Elect & Elect Engn, Saga, Japan;[3]Saga Univ, Res Inst Syst Control, Inst Adv Res & Educ, Saga, Japan

年份：2009

卷号：14

期号：2

起止页码：182

外文期刊名：ARTIFICIAL LIFE AND ROBOTICS

收录：EI(收录号：20095312586341);WOS:【ESCI(收录号:WOS:000211856000018)】；

基金：This study was supported by the National Nature Science Foundation of China 60543005, 60674089, and the Shanghai Leading Academic Discipline Project, B504.

语种：英文

外文关键词：Electrooculogram (EOG); Gaze position; Target tracking; Real-time estimation

摘要：This article describes an online eye-tracking method based on an electrooculogram (EOG) to estimate gaze position. The objective is to use a biomedical signal EOG as the input of a human-machine interface for both disabled and healthy people. In this study, features of horizontal and vertical EOG signals were extracted to estimate the gaze position. Compensation for time-shift and nonlinearity were applied to improve the performance of the estimation. The estimated locus of the moving eye was compared with the locus of the target, and the deviation was about 3 cm. The results can be applied in some raw tracking fields, such as online communication, EOG-based pointers, and so on.