Control of Physical Objects Utilizing Brain Computer Interfaces

dc.contributor.author Schmidt, Nick
dc.contributor.department Electrical and Computer Engineering
dc.contributor.majorProfessor Lotfi ben Othmane
dc.contributor.majorProfessor David Jiles
dc.date 2020-09-17T14:41:44.000
dc.date.accessioned 2021-02-25T00:03:00Z
dc.date.available 2021-02-25T00:03:00Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 2020
dc.date.embargo 2020-07-27
dc.date.issued 2020-01-01
dc.description.abstract <p>Brain Computer Interfaces (BCI) are a rapidly growing and expanding field. BCIs are capable of creating an interface between the human brain and a computer. This paper lays out the required background knowledge to work with a BCI. It attempts to answer the question ”Can a BCI be used to control a set of real work objects?”. To do so, common methods of BCI were analyzed to create a reliable BCI. Then, an architecture was designed to allow for this BCI to be easily expanded to include functionality with as many devices as possible. The architecture developed as well as the logic and rationale behind it is laid out within this paper.</p>
dc.format.mimetype PDF
dc.identifier archive/lib.dr.iastate.edu/creativecomponents/614/
dc.identifier.articleid 1663
dc.identifier.contextkey 18666104
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath creativecomponents/614
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/93734
dc.source.bitstream archive/lib.dr.iastate.edu/creativecomponents/614/Nick_Thesis_Edited.pdf|||Fri Aug 28 18:38:22 UTC 2020
dc.subject.disciplines Biomedical
dc.subject.disciplines Computer and Systems Architecture
dc.subject.disciplines Other Computer Engineering
dc.subject.keywords Electroencephalogram
dc.subject.keywords EEG
dc.subject.keywords Brain control
dc.subject.keywords Brainwave
dc.subject.keywords Plugin
dc.title Control of Physical Objects Utilizing Brain Computer Interfaces
dc.type article
dc.type.genre creativecomponent
dspace.entity.type Publication
relation.isOrgUnitOfPublication a75a044c-d11e-44cd-af4f-dab1d83339ff
thesis.degree.discipline Computer Engineering
thesis.degree.level creativecomponent
File
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Nick_Thesis_Edited.pdf
Size:
600.63 KB
Format:
Adobe Portable Document Format
Description: