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dc.contributor.advisorHan, Qi
dc.contributor.authorZhao, Yongjian
dc.contributor.authorHan, Qi
dc.date2017
dc.date.accessioned2017-05-02T15:52:05Z
dc.date.accessioned2022-02-03T10:22:04Z
dc.date.available2017-05-02T15:52:05Z
dc.date.available2022-02-03T10:22:04Z
dc.identifier.urihttps://hdl.handle.net/11124/170910
dc.identifier.urihttp://dx.doi.org/10.25676/11124/170910
dc.format.mediumposters
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado School of Mines. Arthur Lakes Library
dc.relation.ispartof2017 Graduate Research And Discovery Symposium (GRADS) posters and presentations
dc.rightsCopyright of the original work is retained by the author.
dc.titleFine grained group gesture detection using wearable devices
dc.typeStillImage
thesis.degree.disciplineElectrical Engineering and Computer Science


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