CSI-based Gesture Recognition and Object Detection

dc.contributor.author Zhao, Ruyin
dc.contributor.department Electrical and Computer Engineering
dc.contributor.majorProfessor Daji Qiao
dc.date 2021-06-11T15:20:02.000
dc.date.accessioned 2021-08-14T03:35:25Z
dc.date.available 2021-08-14T03:35:25Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 2021
dc.date.embargo 2021-04-18
dc.date.issued 2021-01-01
dc.description.abstract <p>Nowadays, Wi-Fi is closely related to our life as we use Wi-Fi to communicate everyday. At the same time, people are constantly exploring other uses of Wi-Fi. With the release of Channel State Information (CSI) measurement tool, we can achieve more accurate indoor activity and object detection. In order to make a better used of the combination of Wi-Fi sensing tools and data analytic methods, we first have a deep look at CSI and methods of signal processing. Then, we use CSI and SVM, KNN, Decision Tree, LSTM and Random Forest to perform gesture recognition and object detection.</p>
dc.format.mimetype PDF
dc.identifier archive/lib.dr.iastate.edu/creativecomponents/830/
dc.identifier.articleid 1828
dc.identifier.contextkey 22546497
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath creativecomponents/830
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/arY49GZv
dc.source.bitstream archive/lib.dr.iastate.edu/creativecomponents/830/CSI_based_Gesture_Recognition_and_Object_Detection___04182021.pdf|||Sat Jan 15 02:09:48 UTC 2022
dc.subject.disciplines Data Science
dc.subject.disciplines Digital Communications and Networking
dc.subject.keywords Wireless Sensing
dc.subject.keywords Channel State Information (CSI)
dc.subject.keywords Machine Learning
dc.subject.keywords Gesture Recognition
dc.subject.keywords Object Detection.
dc.title CSI-based Gesture Recognition and Object Detection
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
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