(IJIRSE) International Journal of Innovative Research in Science & Engineering ISSN (Online) 2347-3207 IJIRSE/Vol 3. Iss. 3/ Page 111 Design of wireless EOG system for establishing Human Machine Interface A.Saravanan, Silpa Ajith Kumar Assistant Professor DSCE, Bangalore, India Email: sarvy92@gmail.com, silpaajithkumar@gmail.com Abstract— According to study on the group of persons with severe disabilities shows that many of them have the ability to control their eye movements, which could be used to develop various human machine interface systems to help control artifacts around them. This paper illustrates the design factor associated with the development of wireless Electro-oculography (EOG) system for paralyzed people allowing them to control a machine independently just by their movement of eyes. The proposed system aims at making the signal acquisition module simpler and robust laptop resulting in a very cost effective module. Electro- oculography (EOG) is a new technology of placing electrodes on user’s forehead around the eyes to record eye movements. Our system also uses these signals, preprocess them with analog circuits and post process them in software to detect various eye movements and henceforth transmits them using wireless interface. At receiver end the motor control system looks for special sequence of eye movements to achieve desire control of motor either of robot or wheel chair. Keywords-EOG; paralysis; epithelium; HMI; assistive technology; bio-potential I. INTRODUCTION Physical impairments come in many forms and can generally be classified as a loss or limitation of function in muscle control or movement or a limitation in mobility. This may include hands that are too large or small for a keyboard, shakiness, arthritis, paralysis, and limb loss, among other difficulties. There is a wide range of assistive technologies available to help with all these impairments. One among the several such technologies is the human machine interface by means of EOG signals. The eye movements have attracted many researchers in the past. However since the electro-oculography (EOG) provides an effective, low cost and non-invasive method for detection of full range of eye movements it has been a frequently used system in ophthalmoscopy. It is as well as used to assess the function of pigment epithelium. Besides the clinical applications of EOG, it has been the theme of research for development of assistive technologies by human-machine interface [1, 2]. The electro-oculogram is the measure of potential between the cornea and the retina of the eye called the corneal-retinal potential (CRP). This potential is generated due to the hyper-polarization and depolarization of retinal cells. During the process the cornea establishes a relatively positive potential with respect to the retina. The electrodes are placed round the eyes to acquire the changing position. The EOG is acquired using Ag-AgCl electrode which is placed as a single channel electrode placement system namely the horizontal channel. The strength of the EOG signal varies from 10- 30mV [3] with frequencies in the DC-10Hz band [4]. In addition to EOG signal produced from the eyeball rotation and movements it is also affected by different sources of artifacts like head movements, electro-encephalogram (EEG) signals, electrode placement thereby resulting in noise. Hence, it becomes necessary to develop an amplifier which eliminates the shifting resting potentials arising due to these artifacts and simultaneously avoid saturation. Most of the commercially available EOG amplifiers are costly and uses intricate design. Hence, the development of dedicated topology for the maximization of overall circuit performance in a cost effective manner has been the motive behind this study. Additionally, this system follows the trend of integrating real-time embedded systems with wireless transmission for diagnostics [5, 6], making it more practicable to implement on newer and smaller platforms. Note: This is not based on eye blink sensor which uses photodiode and LED. It is based on EOG and signal processing. II. EXISITING SYSTEM Recent technological research which is being carried out in this field is on the ―Design of wireless EOG Bio-potential amplifier‖. The focus is on designing a low cost amplifier to amplify the signal obtained as a result of movement of eye. Although human machine interface has been established by means of image processing, camera interface techniques using MATLAB or LabView it has been found that the overall cost factor and