{"title":"利用眼电图技术研究影响眼信号的眼动活动","authors":"N. Noor, Muhammad Azhan Muzammil Mustafa","doi":"10.1109/ICCSCE.2016.7893551","DOIUrl":null,"url":null,"abstract":"The purpose of project is to study the effect of the eye movement activity using electrooculography technique which are open, close and blinking the eye as well as reading activity. The electrooculography is a technique that measured the corneo-retinal standing potential between front and back of the human eye. This resulting signal is called the electrooculogram (EOG). In order to collect the eye signal, the circuit is developed by Arduino Olimexino 328 circuit. The circuit is interfaced between Arduino and MATLAB software. Then, the Ag/AgCl electrodes are used to detect the EOG signal by placing the electrodes near the face. The signals are recorded and analysed based on four activities of eye movement. In this project, there are 5 subjects involve which are 2 males and 3 females. The results from these activities can be differentiated between the others signals such as upward, downward, rightward and leftward. These EOG signals can be used as a communication tools between human and machine such as wheelchair robot and rehabilitation purposes by developing the algorithm.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"12 1 1","pages":"91-95"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Eye movement activity that affected the eye signals using electrooculography (EOG) technique\",\"authors\":\"N. Noor, Muhammad Azhan Muzammil Mustafa\",\"doi\":\"10.1109/ICCSCE.2016.7893551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of project is to study the effect of the eye movement activity using electrooculography technique which are open, close and blinking the eye as well as reading activity. The electrooculography is a technique that measured the corneo-retinal standing potential between front and back of the human eye. This resulting signal is called the electrooculogram (EOG). In order to collect the eye signal, the circuit is developed by Arduino Olimexino 328 circuit. The circuit is interfaced between Arduino and MATLAB software. Then, the Ag/AgCl electrodes are used to detect the EOG signal by placing the electrodes near the face. The signals are recorded and analysed based on four activities of eye movement. In this project, there are 5 subjects involve which are 2 males and 3 females. The results from these activities can be differentiated between the others signals such as upward, downward, rightward and leftward. These EOG signals can be used as a communication tools between human and machine such as wheelchair robot and rehabilitation purposes by developing the algorithm.\",\"PeriodicalId\":6540,\"journal\":{\"name\":\"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)\",\"volume\":\"12 1 1\",\"pages\":\"91-95\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSCE.2016.7893551\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSCE.2016.7893551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Eye movement activity that affected the eye signals using electrooculography (EOG) technique
The purpose of project is to study the effect of the eye movement activity using electrooculography technique which are open, close and blinking the eye as well as reading activity. The electrooculography is a technique that measured the corneo-retinal standing potential between front and back of the human eye. This resulting signal is called the electrooculogram (EOG). In order to collect the eye signal, the circuit is developed by Arduino Olimexino 328 circuit. The circuit is interfaced between Arduino and MATLAB software. Then, the Ag/AgCl electrodes are used to detect the EOG signal by placing the electrodes near the face. The signals are recorded and analysed based on four activities of eye movement. In this project, there are 5 subjects involve which are 2 males and 3 females. The results from these activities can be differentiated between the others signals such as upward, downward, rightward and leftward. These EOG signals can be used as a communication tools between human and machine such as wheelchair robot and rehabilitation purposes by developing the algorithm.