Abstract:A portable intelligent speller system based on blink electrooculogram (EOG) was designed to help patients of limb movement function disorders to communicate with other people. The user can control virtual keyboard to spell characters by blinking on human-computer interaction (HCI) interface. The signal would be pre-processed by acquisition module of the system. Then the signal was converted to digital signal, and the digital signal was transmitted to microprocessor. Pike noise of the digital signal was firstly filtered by mathematical morphology. Then dynamical threshold algorithm and normalization, differential algorithm were used to detect the blink. According to the information of EOG, virtual keyboard was controlled to spell characters by microprocessor. In this paper, 12 subjects were tested the system in three occasions (routine laboratory, magnetic resonance imaging equipment room with the large electromagnetic interference, and outdoor playground). Results showed that the system could accurately identify blink signal and spell characters including Chinese, English and numbers. Besides, the mean average precision of input character was above 98%. The average input speeds of Chinese character, English character and number were 2.8±0.3, 6.6±0.35 and 9.7±0.38 (per/min), respectively. Hence the system which has higher interference rejection is appropriate for patient of limb movement function disorders.
郜东瑞 甘玉龙 李鹏霄 谢佳欣 尧德中 刘铁军#*. 基于眼电的智能输入系统研究[J]. 中国生物医学工程学报, 2015, 34(6): 662-669.
Gao Dongrui GanYulong Li Pengxiao Xie Jiaxin Yao Dezhong Liu Tiejun#* . Research of Intelligent Speller System Based on EOG. journal1, 2015, 34(6): 662-669.
[1]郑敏敏, 高小榕. 基于眼电的字符输入系统[J].中国生物医学工程学报,2012,31(6): 801-806.
[2]吴湛微.从EOG扫视信号中提取人眼位置信息的研究[D].上海:华东理工大学,2004.
[3]Jacob RJK, Kam KS. Eye tracking in humancomputer interaction and usability research: Ready to deliver the promise [J]. Mind, 2003, 2: 573-605.
[4]Stahl JS, Van Alphen AM, Zeeuw CD. Acomparison of video and magnetic search coil recording of mouse eye movements [J]. Journal of Neuroscience Methods, 2000, 99(1):101-110.
[5]Kai\|Uwe S, Markus HM. Comparing eye movements recorded by search coil and infrared eye tracking [J]. Journal of Clinical Monitoring and Computing, 2007, 21(1):49-53.
[6]李卫娜,侯文生,郑小林.基于Electrooculogram的眼动信息识别[J].仪器仪表学报,2007,28(8):1428-1433.
[7]李昕.基于眼电的无障碍人机交互技术研究[D]. 杭州:浙江大学,2010.
[8]马翔, 赵乐军,张晴. 基于红外位移传感器的眼动测量系统[J]. 华东理工大学学报,2009,35(6):897-901.
[9]陈卫东,李昕,刘俊,等. 基于数学形态学的眼电信号识别及其应用[J]. 浙江大学学报, 2011, 45(4): 644-649.