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基于EOG眼电信号的机器人三维定位 被引量：2

Robot 3D Positioning Based on EOG Signal Analysis
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摘要 在控制机器人的各种方法中 ,采用生物电信号控制机器人的研究发展非常迅速 ,成为二十一世纪最热门的研究课题。眼电图EOG(electro -oculography)方法是目前唯一一种信号产生于生物电的眼运动记录技术。本文在对EOG的产生原理及扫视信号提取的方法进行分析的基础上 ,利用EOG信号提取侧、俯平面的视角变化来实现对机器人进行三维空间移动定位 。 Among various of robot control methods, the research of robot control using bio signal is in rapid developing, and becomes one of the hottest research topics. Presently, EOG is the only eye movement recording method whose signal is produced by bio electricity. In this paper, a theory of robot orientation in three-dimensional space is proposed based on analysis of EOG signals and extraction of saccade signal. Finally, a simulation experiment is performed for the validation of this control theory.
作者 方淼滨 邹俊忠 姚晓东 王行愚 王蓓
机构地区 华东理工大学信息科学与工程学院
出处 《计算机与数字工程》 2005年第2期28-30,共3页 Computer & Digital Engineering
关键词 眼电图 扫视 三自由度机器人 三维空间定位 动力学 EOG,saccade,3-DOF robot,orientation in 3-D space,dynamics
分类号 TP242 [自动化与计算机技术—检测技术与自动化装置]
  • 相关文献

参考文献3

  • 1Berg, Scherg. Dipole models of eye movements and blinks[J].Electroencephalography and Clinical Neurophysiology, 1991, vol.79:pp. 36- 44.
  • 2Bahill. Prediction Final Eye Position Halfway Through a Saccade [J]. IEEE Trans. On Biomedical Engineering, 1982, vol. 30(no. 12): pp. 781 - 786.
  • 3R. P. Paul, Robot Manipulators: Mathematics, Programming,and Control. Cambridge,Massachusetts: MIT Press, 1981.

同被引文献19

  • 1TECCE J J, GIPS J, OLIVIERI C P, et al. Eye movement control of computer functions [J]. International Journal of Psychophysiology, 1998, 29(3) :319 - 325.
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  • 7KIMMIG H, GREENLEE M W, HUETHE F, et al. MR-Eyetracker: a new method for eye movement recording in functional magnetic resonance imaging[J].Experimental Brain Research, 1999, 126(3): 443- 449.
  • 8CLARKE A H, DITTERICH J, DRUEN K, et al. Using high frame rate CMOS sensors for three-dimensional eye tracking [J]. Behavior Research Methods, Instruments and Computers, 2002, 34(4) : 549 - 600.
  • 9WOLPAW J R, BIRBAUMER N, MCFARLAND D J, et al. Brain-computer interfaces for communication and control[J].Clinical Neurophysiology, 2002, 113(6): 767- 791.
  • 10ZHAO L, WU X P, LI M, et ai. Implementation of the EOG-based human computer interface system [C] // Bioinformatics and Biomedical Engineering. Shanghai: IEEE, 2008: 2188-2191.

引证文献2

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计算机与数字工程
2005年 第2期

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