Real Time Electro-Oculogram Driven Rehabilitation Aid
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.
KeywordsAmyotrophic Lateral Sclerosis Braincomputer Interface System Human Computer Interface Real Time Control Strategy Amplifier Output Signal
Unable to display preview. Download preview PDF.
- 2.Deng, L., Hsu, C., Lin, T., Tuan, J., Chang, S.: EOG-based Human–Computer Interface system development. Expert Systems with Applications, 3337–3343 (2010)Google Scholar
- 5.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)Google Scholar
- 6.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)Google Scholar
- 7.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)Google Scholar
- 8.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)Google Scholar
- 9.Liu, C., Chaovalitwongs, W., Pardalos, P., Seref, O., Xanthopoulos, P., Sackellares, J., Skidmore, F.: Quantitative analysis on electrooculography (EOG) for neurodegenerative diseaseGoogle Scholar
- 10.Roy Choudhury, S., Venkataramanan, S., Nemade, H.B., Sahambi, J.S.: Design and Development of a Novel EOG Biopotential Amplifier. IJBEM 7(1) (2005)Google Scholar
- 11.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)Google Scholar
- 12.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)Google Scholar