Abstract
Human computer interfacing technology based rehabilitation aids have shown a new horizon towards intelligent systems to improve the quality of life of physically challenged people. Research is going on to utilize biosignals to interface the movement based signals with machines. Electro-oculogram is the signal to detect eye ball movements and can be used to control mobility aids. Electro-oculogram is the potential difference around the eyes due to movement of the eye balls in different directions. In this study an acquisition system for electro-oculogram is designed to collect the desired signal with low noise and then signal processing is done for control application. The contribution of this paper lies in the development of two new strategies to use electrooculographic signal based control of motors in real time.
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References
Cincotti, F., Mattia, D., Aloise, F., et al.: Non-invasive braincomputer interface system: towards its application as assistive technology. Brain Research Bulletin 75(6), 796–803 (2008)
Deng, L., Hsu, C., Lin, T., Tuan, J., Chang, S.: EOG-based Human–Computer Interface system development. Expert Systems with Applications, 3337–3343 (2010)
Barea, R., Boquete, L., Mazo, M., Lopez, E.: System for Assisted Mobility Using Eye Movements Based on Electrooculography. IEEE Transaction on Neual Systems and Rehabilitation Engineering 10(4), 209–218 (2002)
Barea, R., Boquete, L., Mazo, M., López, E., Bergasa, L.M.: Wheelchair guidance strategies using EOG. Journal of Intelligent and Robotic Systems 34, 279–299 (2002)
Barea, R., Boquete, L., Mazo, M., López, E., Bergasa, L.M.: E.O.G. guidance of a wheel-chair using spiking neural networks. In: European Symposium on Artificial Neural Networks, Belgium, pp. 233–238 (2000)
Rajan, A., Shivakeshavan, R.G., Vijay Ramnath, J.: Electrooculogram based Instrumentation and Control System (IC System) and its applications for Severely Paralysed Patients. In: Intl. Conf. on Biomedical and Pharmaceutical Engineering (2006)
Lv, Z., Wu, X., Li, M.: Implementation of the EOG-based Human Computer Interface System. In: 2nd International Conference on Bioinformatics and Biomedical Engineering, ICBBE 2008, pp. 2188–2191 (2008)
Ding, Q., Tong, K., Li, G.: Development of an EOG (Electro- Oculography) Based Human-Computer Interface. In: Proceedings of the 2005 IEEE EMBS 27th Annual Conference, Shanghai, China, September 1-4, pp. 6829–6831 (2005)
Liu, C., Chaovalitwongs, W., Pardalos, P., Seref, O., Xanthopoulos, P., Sackellares, J., Skidmore, F.: Quantitative analysis on electrooculography (EOG) for neurodegenerative disease
Roy Choudhury, S., Venkataramanan, S., Nemade, H.B., Sahambi, J.S.: Design and Development of a Novel EOG Biopotential Amplifier. IJBEMÂ 7(1) (2005)
Fkirin, M.A., Badawy, S., El-Sherbeny, A.S.: Driving a DC Motor by Numerically Ma-nipulated Eye Signal Captured by EOG. The Online Journal on Electronics and Electrical Engineering (OJEEE) (2009)
Usakli, A.B., Gurkan, S., Aloise, F., Vecchiato, G., Babiloni, F.: On the Use of Electro Occulo Gram for Efficient Human Computer Interfaces. In: Corporation Computational Intelligence and Neuroscience. Hindawi Publishing (2010)
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Banerjee, A., Das, P., Datta, S., Konar, A., Janarthanan, R., Tibarewala, D.N. (2013). Real Time Electro-Oculogram Driven Rehabilitation Aid. In: Kumar M., A., R., S., Kumar, T. (eds) Proceedings of International Conference on Advances in Computing. Advances in Intelligent Systems and Computing, vol 174. Springer, New Delhi. https://doi.org/10.1007/978-81-322-0740-5_53
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DOI: https://doi.org/10.1007/978-81-322-0740-5_53
Publisher Name: Springer, New Delhi
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