文献类型：会议论文

英文题名：Real-time estimation system of gaze angle based on electrooculogram

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

机构：[1] Department of Automation, East China University of Science and Technology, 130 St. Meilong, Shanghai, China; [2] Department of Electrical and Electronic Engineering, Saga University, 1 Honjimachi, Saga, 840-8502, Japan; [3] Department of Advanced Systems Control Engineering, Saga University, 1 Honjimachi, Saga, 840-8502, Japan

会议论文集：Proceedings of the 14th International Symposium on Artificial Life and Robotics, AROB 14th'09

语种：英文

外文关键词：Target tracking

摘要：This paper describes an online eye-tracking method based on electrooculogram (EOG) to estimate gaze angle. The objective is to use biomedical signal EOG as the input of human-machine interface for both disabled and healthy people. In this study, a quadratic function is applied to set the relation between EOG and gaze angle. The estimated gaze angle is decided by three EOG channels with maximum amplitude after compensating shift and smoothing. The results of real-time estimation showed high accuracy, which makes it possible in many application fields, such as assistance robot control, online word processor and so on. ?ISAROB 2009.