Designing an EEG-based brain-computer interface (BCI). Therefore, during weeks 1-4, your group needs to learn the background information necessary for completing the design challenge. You will do this by formulating your own questions about BCIs and answering them in a short research paper.
Specifically, focus on how a BCI could enable individuals to control an external device using only their brain signals. While there are many ways to collect physiological signals from the human brain; here, we want you to focus only on noninvasive scalp electroencephalogram (EEG) data.
You will first need to identify key questions that, when answered, will lead to an understanding of the design considerations for EEG-based BCIs. You will then locate original research papers (at least one paper per group member) that describe real-world implementations of EEG-based BCI devices. These papers should be descriptions of individual BCI devices, rather than review papers that summarize a large number of studies. For each paper, summarize the device design and implementation by answering the key questions. Then integrate these summaries into a written report, including a brief Introduction section and a Discussion section that compares and contrasts the different designs.
The five key questions you should be answering for each paper are the following:
-What specific features from the EEG are being analyzed? ( e.g. P300, Mu rhythm etc)
-Describe the user interface and how the user can generate these key features. (e.g. does the device use a screen, flashing lights etc) Are there any limitations associated with this?
-How are they collecting, recording and processing the signals? ( e.g. electrode number and location, number of test subjects, data processing methods etc)
-How are the features paired with actions of the device and what are the overall benefits? (e.g. turning on household appliance, spelling a word etc)
-Who is the end user or who benefits from the device?
Sample Solution