CHAPTER I
INTRODUCTION
1.1 Project Background
Recently, humankind has seen a revolution in the smart phone industry and emerging growth in the usage of mobile applications that range from entertainment
and educational apps to simple games, health care apps and more. However, the development of technology broke the science fiction and brought the reality into play
when reading human minds was just as science fiction.
With the increasing cost and demands made of the mobile phones applications
and services, there is significant interest in the development of technology that can help to make a communication between our brains and mobile phones. In
particular, there is growing interest in the development of wearable systems for acquiring and analyzing various neural signals. A commonly used device for the
implementation of such systems is called electroencephalography EEG wireless headset. By using this device, neural signals are acquired from the brain based on the
brain activity interact with influence or change of the environment.
Brain-mobile phone aims to provide a communication channel from human’s
brain to a mobile phones and it is a system which directly translates brain activity
into a sequences of control commands. It also decodes real time digital signals from electrical activities of the brain and it does not depend on the cessation of physical
movements, hence it is capable of providing superior communication and control. Brain-Mobile Phone Interface allows people to send massages or commands from
human’s brain activities to the outside world without peripheral nerves and muscles activities. However, these activities can be detected and recorded by EEG wireless
headset [1].
This headset is wirelessly connected with a smart phone where this phone is
directly interfaced with human brain. In this project, we will discuss the Brain- Mobile phone interface design and build a mobile real-time platform for stimulus
delivery, data acquisition, and processing with focus on real-time of brain activity. The implementation and evaluation will be discussed as well for the neurophone
system.
1.2 Motivation
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