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RISS 인기검색어
- 검색키워드
- 저자 : M. I Rusydi (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
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M. I Rusydi,T. Okamoto,M. Sasaki,S. Ito 한국재활복지공학회 2012 한국재활복지공학회 학술대회논문집 Vol.2012 No.11
Electro-oculogram (EOG) is such kind of sensitive biosignal that comes from eyes activities. Using the NF Instrument as the sensor to obtain the signal from gaze motion, the optimum electrode positions in order to distinguish the distance of vertical and horizontal movement were observed based on the magnitude and the stability of EOG signal. There were twelve electrode positions, each six beside and below the eye, as the candidate for the suitable electrode position to acquire the EOG. Another experiment to compare the signal difference between left and right eye was also investigated in horizontal and vertical eye movement. The result shows that the position number 2 satisfies the desired condition for horizontal movement and position number 11 leads in magnitude and stability of the EOG signal in vertical movement. Position number 10 is available for vertical and horizontal gaze motion for the alternative option. These positions were tested by finding the relationship between displacement (pixel) and EOG signal(μV). The result shows that linear approaching to this condition successfully detect the system not only in horizontal or vertical case but also in diagonal gaze motion with average error pixel around 80 pixels or 1.6 cm. Based on this result, we concluded that although we can get easily the EOG signal around the eyes, but not all positions can give a clear figure, so it is very important to determine the suitable electrode position
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Using EOG Signal to Control Robot Manipulator
M.I. Rusydi,Y. Mori,T. Okamoto,M. Sasaki,S. Ito 한국재활복지공학회 2012 한국재활복지공학회 학술대회논문집 Vol.2012 No.11
Electro-oculograph (EOG) is one of the biosignal that can be used to improve life quality in human machine interface area. EOG occurs as the eye activities change the magnitude of potential between cornea and retina. This signal was used to control robot manipulator in four directions (up, down, left and right). To record this phenomenon we used NF Instrument with head box to amplify the signal and processor box to process digital filter. Combination of 3 digital filter, 1.6 High Pass Filter, 60 Hz Low Pass Filter and 60 Hz Ham Filter added by 6 Hz Low Pass Filter gave neat signal until the difference among the eye movement could be distinguished. This is a real time system because we could detect when a signal comes and send it to the robot manipulator system through Arduino microcontroller. The determination of the signal emersion was successfully calculated by the combination of wavelet transform with scale = 1 and translation = 0.031 and garbor filter with O=1. Since the average accuracy of the system is more than 90% so we can use this method for some extend application later.
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