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dc.contributor.authorlee, Juyoung
dc.contributor.authorYeo, Hui Shyong
dc.contributor.authorStarner, Thad
dc.contributor.authorQuigley, Aaron John
dc.contributor.authorKunze, Kai
dc.contributor.authorWoo, Woontack
dc.date.accessioned2018-03-07T10:30:11Z
dc.date.available2018-03-07T10:30:11Z
dc.date.issued2018-02-07
dc.identifier.citationlee , J , Yeo , H S , Starner , T , Quigley , A J , Kunze , K & Woo , W 2018 , Automated data gathering and training tool for personalized "Itchy Nose" . in AH '18 Proceedings of the 9th Augmented Human International Conference . , 43 , ACM , New York , 9th Augmented Human International Conference , Seoul , Korea, Democratic People's Republic of , 7/02/18 . https://doi.org/10.1145/3174910.3174953en
dc.identifier.citationconferenceen
dc.identifier.isbn9781450354158
dc.identifier.otherPURE: 252305862
dc.identifier.otherPURE UUID: fbbda310-d0bc-496a-8600-3c8128736884
dc.identifier.otherScopus: 85044306579
dc.identifier.otherORCID: /0000-0002-5274-6889/work/41757148
dc.identifier.urihttp://hdl.handle.net/10023/12868
dc.description.abstractIn "Itchy Nose" we proposed a sensing technique for detecting finger movements on the nose for supporting subtle and discreet interaction. It uses the electrooculography sensors embedded in the frame of a pair of eyeglasses for data gathering and uses machine-learning technique to classify different gestures. Here we further propose an automated training and visualization tool for its classifier. This tool guides the user to make the gesture in proper timing and records the sensor data. It automatically picks the ground truth and trains a machine-learning classifier with it. With this tool, we can quickly create trained classifier that is personalized for the user and test various gestures.en
dc.format.extent3en
dc.language.isoeng
dc.publisherACM
dc.relation.ispartofAH '18 Proceedings of the 9th Augmented Human International Conferenceen
dc.rights© 2018, the Author(s). This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1145/3174910.3174953en
dc.subjectNose gestureen
dc.subjectSubtle interactionen
dc.subjectEOGen
dc.subjectWearable computeren
dc.subjectSmart eyeglassesen
dc.subjectSmart eyewearen
dc.subjectTraining toolen
dc.subjectOnline classificationen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectT Technologyen
dc.subjectNDASen
dc.subject.lccQA75en
dc.subject.lccTen
dc.titleAutomated data gathering and training tool for personalized "Itchy Nose"en
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1145/3174910.3174953


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