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dc.contributor.authorSimmons, H.en_US
dc.contributor.authorDevi, R.en_US
dc.contributor.authorEns, Barretten_US
dc.contributor.authorBillinghurst, Marken_US
dc.contributor.editorTony Huang and Arindam Deyen_US
dc.date.accessioned2017-11-21T15:42:20Z
dc.date.available2017-11-21T15:42:20Z
dc.date.issued2017
dc.identifier.isbn978-3-03868-052-9
dc.identifier.urihttp://dx.doi.org/10.2312/egve.20171382
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egve20171382
dc.description.abstractThis paper presents a comparative evaluation of two gesture recognition sensors and their ability to detect small, movements known as micro-gestures. In this work we explore the capabilities of these devices by testing if users can reliably use the sensors to select a target using a simple 1D user interface element. We implemented three distinct gestures, including a large gesture of moving the whole hand up and down; a smaller gesture of moving a finger up and down and; and a small movement of the thumb against the forefinger to represent a virtual slider. Demo participants will be able to experience these three gestures with to sensing devices, a Leap Motion and Google Soli.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectGestural input
dc.titleComparative Evaluation of Sensor Devices for Micro-Gesturesen_US
dc.description.seriesinformationICAT-EGVE 2017 - Posters and Demos
dc.description.sectionheadersDemos
dc.identifier.doi10.2312/egve.20171382
dc.identifier.pages37-38


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