English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Nowadays, controlling electronic devices without the use of hands is essential to provide a communication interface for disable persons to have control over their environment and to enable multi-tasking operation for normal person. Various methods of controlling electronic devices without the use of hands have been investigated by researchers, for examples sipand-puff, electro-oculogram (EOG signals), light emitter and others [Ding et al., 2005, Kumar et al., 2002; Breau et al., 2004]. In our previous study, EOG signal was found to be suitable for activating a television using a specific protocol [Harun et al., 2009], however, it could not be used when a person is not facing the system. Thus, a method that is more flexible has to be investigated. The use of neural signals to directly control a machine via a brain computer interface (BCI) has been studied since 1960s. Using an appropriate electrode placement and digital signal processing technique, useful information can be extracted from neural signals [Holzner et al, 2009; Jian et al., 2010; Gupta et al., 1996.] One of the events that can be detected from this signal is eye blink. It can be used as a mechanism to activate and control a machine which can help disable people to do their everyday routines. Most BCI systems employs a computer to process neural signals and perform control. 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.

Integrating Neural Signal and Embedded System for Controlling Small Motor