Studies And Implements Of Multimedia Controller Based On BCI

A novel wireless brain-computer interface (BCI) multimedia controller systemhas been proposed. Conventional multimedia controller usually involves muscle orother physical movements which may be unpractical in specific situations. Althoughwith the dramatic developments of micro electronic and computer science, variousadvanced controller techniques were introduced. However there are still more toimprove.BCI provide us distinctive brand-new approaches to human computer interface(HCI). BCI systems translate the electroencephalogram (EEG) within human brain toactual instructions. Nevertheless most of current BCI controller either haveinconvenience EEG acquisition devices or bulky back-end processing units. In thisstudy a novel wireless BCI multimedia controller was proposed. Most of current BCIsystem are synchronous. They need synchronization cues to hint the beginning of eachmental task. These synchronous BCI system could not tell the actual orders form theunintentional ones efficiently. The proposed BCI system had an asynchronouscharacteristics which allowed the system to distinguish normal operations andunintentional ones.The proposed system consists of wireless EEG acquisition device, stimulusdevice and host system. Wireless EEG acquisition device is powered by built-inrechargeable battery and provides easy setup and comfortable user experience. Stimulusdevice is implemented on a common Google Android OS tablet while host system isimplemented on a Microsoft Windows8tablet. Moreover a new EEG translationmechanism is designed to achieve asynchronous property. The experiment results showsour BCI multimedia controller can achieve a relatively high information transfer rate(IRT) and obvious advantages compared to other non-BCI and BCI controller systems.To validate the proposed system, hardware validations and software validationswere conducted. Hardware validations include the validation of wireless EEGacquisition device. Software validations include the validation of visual stimulusprogram and the program on the host system. After validations the whole system were proved to accurate, functional and efficient. Human tests were also conducted. Crosscomparison results with similar BCI systems and controller schemes were given.The proposed BCI multimedia controller system could be used in various fieldslike entertainments, rehabilitations, mental state monitoring. This study also introduceda unique wireless EEG acquisition device for future usage.