![]() ![]() ![]() The Neuroscan system is tens of thousands of dollars but with good contact quality and a 1kHz sampling rate. As any researcher with a substantial grant would do, his team purchased the upscale Neuroscan EEG system for their work. He now studies auditory processing in children with dyslexia. Nic did his PhD in developmental psychology and then studied language processing at Oxford before returning to Australia. Nicholas Badcock and his group at Macquarie University in Sydney Australia were among the first to see its potential in other applications. When Emotiv came out with its EEG EPOC headset it was originally positioned as a gaming system – allowing simple brain computer interface applications for video games. ![]() The developed system showed robust and accurate classification results for both datasets.The Emotiv EPOC at less than $2000 opens up enormous possibilities to take research out of the lab to get access to subjects and scale experiments substantially. The first is a well-known and publicly available dataset, while the second dataset was collected locally using a retail EEG kit. The proposed system is tested on two separate datasets. A set of prepossessing, feature extraction and classification methods were implemented to help support and validate the proposed system and to benchmark it against the latest developed systems in BCI literature. This thesis develops an asynchronous multiclass noninvasive EEG-based BCI system which is based on a novel feature extraction method for asynchronous BCI. However, it is a challenging problem and requires the development of appropriate machine learning and signal processing tools. The asynchronous multiclass BCI problem is particular importance because it closely matches realistic operating conditions (as opposed to synchronous problems). Although Noninvasive Electroencephalogram-based (EEG-based) BCI is showing a lot of promise, it is faced with a number of difficult challenges, especially from the perspective of signal processing, because the signals being observed by EEG are extremely weak and typically contain very high levels of noise. It can be used to allow paralyzed as well as healthy individuals to interact with and control the surrounding environment or to communicate simply by the conscious modulation of thought patterns. A Brain Computer Interface (BCI) is a system which allows direct communication between the brain and a computer. ![]()
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