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By H. Martinez-Alfaro

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Since portable system offers benefits such as flexibility, mobility and convenience to use, it is more preferred than a fixed system. An embedded system can be designed to provide portability feature. To include this feature, a microcontroller is required to control its operation and provide a communication link between human and machine. This chapter discusses how neural signal and embedded system can be combined together to activate a fan connected to a motor. It covers the introduction to neural signal, neural signal processing, embedded system and EEG based fan system hardware and software.

The overall excitation of the brain determines the amplitude and patterns of the signal. The excitation depends on the activity of the reticular activating system in the brain stem. The pattern changes markedly between states of sleep and wakefulness. The EEG signal is divided into five frequency bands; beta, alpha, theta, delta and gamma. Beta frequency is in the range of 12 Hz – 22 Hz and occurs when the person is awaken and in the state of alertness. Alpha is in the range of 8 – 13 Hz and is present when a 32 Advances in Mechatronics person is awaken and relaxed with eyes close.

Moreover, a more advanced integrated control approach called hierarchical control method has been applied to coordinate control of the ASS and the ESP. The design flexibility of the hierarchical control method has been demonstrated through the design practice of the two-layer control system. The upper layer controller has been designed to coordinate specifically the interactions between the ASS and the ESP. While the two lower layer controllers including the ASS and the ESP, have been designed independently to achieve their local control objectives.

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