Comparative Evaluation of Sensor Devices for Micro-Gestures

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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.accessioned2017-11-21T15:42:15Z
dc.date.available2017-11-21T15:42:15Z
dc.date.issued2017
dc.description.abstractThis paper presents a comparative evaluation of two hand gesture recognition sensors and their ability to detect small, sub millimeter movement. We explore the capabilities of these devices by testing if users can reliably use the sensors to select a simple user interface element in 1D space using three distinct gestures a small movement of the thumb and forefinger representing a slider, the slightly larger movement of moving a finger up and down and a large gesture of moving the whole hand up and down. Results of our preliminary study reveal that the palm provides the fastest and most reliable input. While not conclusive, data from our initial study indicates that the Leap sensor provides lower error, difficulty and fatigue than the Soli sensor with our test gesture set.en_US
dc.description.sectionheadersPosters B
dc.description.seriesinformationICAT-EGVE 2017 - Posters and Demos
dc.identifier.doi10.2312/egve.20171375
dc.identifier.isbn978-3-03868-052-9
dc.identifier.pages23-24
dc.identifier.urihttps://doi.org/10.2312/egve.20171375
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egve20171375
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectGestural input
dc.titleComparative Evaluation of Sensor Devices for Micro-Gesturesen_US
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