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By H. Martinez-Alfaro

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16. EEG with spontaneous eye blinks observed at the output of PIC microcontroller. [Wahy et al, 2010] 7. Conclusion A system that can activate a fan using EEG signal detected by a microcontroller has been described in this paper. The results showed that eye blinks can be detected successfully using PIC16F877A. With a program running on PIC16F877 microcontroller, a simple motor 42 Advances in Mechatronics can be activated using neural signal. This application is suitable for people who cannot move their hands or the whole body to control a fan.

The chapter is concluded with highligths of summary of the results of the study and future directions of research in this area. 2. Review of friction modelling techniques in motion control system The study of friction is dated back to the work of Leonardo da Vinci (1452-1519) who investigated the nature of friction and proposed the basis for the theory of classical friction. According to da Vinci (1452-1519) theory of friction, and latter work of Amontons (1699), and Charles (1785) friction is proportional to load, opposed motion, and is independent of Artificial Intelligent Based Friction Modelling and Compensation in Motion Control System 45 contact area.

2190-2198. , and Diaz, V. (2005), Fuzzy-logic Applied to Yaw Moment Control for Vehicle Stability, Vehicle System Dynamics, Vol. 43, pp. 753-770. J. (2007), Model-based Predictive Control of Vehicle Dynamics, International Journal of Vehicle Autonomous Systems, Vol. 5(1-2), pp. 3-27. W. (2006), Integrated Control of Automotive Electrical Power Steering and Active Suspension Systems Based on Random Suboptimal Control, International Journal of Vehicle Design, Vol. 42(3/4), pp. 370-391. , Tseng, H.

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