EOG signal Modeling using Double Exponential Smoothing for Robot Arm Control System

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Naufel B. Mhammed Soran Ab. M. Saeed Avan M. Ahmed


This paper present a novel way of modeling EOG signal to use in a robot arm control system, two procedures implemented, offline procedure to measure and modeling EOG for building  a pattern reference model ,and online procedure used to Control the robot arm. By comparing online measured EOG and the EOG pattern in reference model suitable manipulation instruction generated by the micro controller. The double exponential smoothing method used for building the pattern reference model, the accuracy of the reference model tested with main squire error (MSE) and main absolute error (MAPE) measures. Auto correlation analysis applied to study the existing pattern and linearity of EOG signal with eye movements. EOG signal measurement for this research classified in to five kinds: EOG horizontal (left and right) Vertical (up and down), and blinking. The EOG signal models of this research saved and used as a reference model file to classify the eye movements. a measurement and robot arm control system constructed by using arduino olimix 328, olimix sensor shield, and robot arm driving circuit, arduino C used as a programming environment, Minitab software used to build the model and correlation analysis ,Brain Bay software used to control and signal processing.


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[1] U. Siddiqui and A. N. sheikh, “An over view of electrooculography” international journal of advanced research in computer and communication engineering, Vol.2, issue 11, November 2013.
[2] A Method of EOG Signal Processing to Detect the Direction of Eye Movements. In: 2010 First International Conference on Sensor Device Technologies and Applications. [online] Venice, Italy: IEEE. Available at: http://ieeexplore.ieee.org/document/5632116/
[3] A. Khan, et. al. “electrooculogram based interactive robotic arm interface for partially paralytic patients” , ITEE journal Vol.1 , issue 1, December 2012
[4] D. Pakulski, and Ar. Gmerek, ”The electrooculography control system” . Pomiary Automatyka Robotyka. pp. 160-163. PAR 12/2012
[5] C. Kavitha and G. Nagappan, (May 2015). “Sensing and processing of EOG signals to control human machine interface system”, international journal of since, engineering and technology research (IJSETR), Vol.4 issue 4, pp 1330 – 1336, May 2015
[6] V. Arthi and N. Suresh, “Analysis of electrooculography signals for the interface and control of appliances”, international journal of multidisciplinary and current research , Vol.3, pp 87-90, Jan/Feb 2015.
[7] J. Veena, etl,. “EOG based prostatic arm/ hand control”, international journal of innovative research in science engineering and technology, Vol.4, issue.5. pp. 3693-3698, May 2015
[8] K. Mehta “a review on different method of EOG signals analysis” , international journal of research in science engineering and technology , Vol.5 , issue.2., pp. 1862-1865., Feb 2016
[9] N. Kim –Tiem and N. Truong –Thinh., "using Electro ocalogram and Electromyogram for powered wheelchair " , International conference on Robotic and biomimetics , proceeding of IEEE ,phuket ,Thailand, Dec 2011.
[10] L.V. Zhao, et. al. "Development of a human computer Interface system using EOG" ,Helth,scientific research, June 2009. [Online] available from: ,http://www.scrip_org/journal/health.
[11] H. Shahabi, et. Al,. "EEG Eye blink artifact removal by EOG modeling and Kalman filter " ,5th International conference on biomedical engineering and informatics (BMEI), Oct 2012.
[12] S. Aungsakun., et. Al,. “Development of robust electrooculography (EOG) –based human –computer interface controlled by eight directional eye movements ", International Journal of physical science, Vol.7 (14), pp.2196-2208, march 2012.
[13] C. Louis Tsui, et. al., "EMG-based Hands-Free wheelchair control with EOG Attention shift Detection " ,International conference on robotics and Biomimetics,sanya china, Dec 2007.
[14] B. Andreas, et. al., "Eye movement Analysis for Activity Recognition using Elecrooculography", IEEE Transaction on pattern Analysis And machine Intelligence , 2010.
[15] F. Gary, et .al., “business statistics”, allyn and bacon inc. , 7 wells avenue. Newton. Massachusetts, 1987.
[16] Minitab,. “single and double exponential smoothing”, May 2001 , [online] available from: http://ww.minitab.com/support/.
[17] Pham and hoang,. (editors, “handbook of engineering statistics” Springer/verlag. London. 2006
[18] R. Shumay and D. Stoffer, “time series analysis and its applications” , Springer, NewYork. 2011
[19] D. Gerbing, “Auto correlation’, school of business administration, Portland state university, June 2016.
[20] N. Steinhausen, “Applications of the electric potential sensors for healthcare and assistive technology”, PhD. Thesis, university of Sussex, falmer , Brighton UK, March 2014.
[21] [Online] available from: https://www.quora.com/In-1st-person-video-games-why-dont-they-introduce-peripheral-vision.