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InvisibleEye is an innovative approach for mobile eye tracking that uses millimeter-size RGB cameras, which can be fully embedded into normal glasses frames, as well as appearancebased gaze estimation to directly estimate gaze from the eye images. Through evaluation on three large-scale, increasingly realistic datasets, we show that InvisibleEye can achieve a person-specific gaze estimation accuracy of up to 2.04\u00b0 using three camera pairs with a resolution of only 3x3 pixels.<\/jats:p>","DOI":"10.1145\/3372300.3372307","type":"journal-article","created":{"date-parts":[[2019,11,14]],"date-time":"2019-11-14T22:07:36Z","timestamp":1573769256000},"page":"30-34","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["InvisibleEye"],"prefix":"10.1145","volume":"23","author":[{"given":"Julian","family":"Steil","sequence":"first","affiliation":[{"name":"Max Planck Institute for Informatics, , Ghana"}]},{"given":"Marc","family":"Tonsen","sequence":"additional","affiliation":[{"name":"Max Planck Institute for Informatics, , Germany"}]},{"given":"Yusuke","family":"Sugano","sequence":"additional","affiliation":[{"name":"The University of Tokyo, Tokyo, Japan"}]},{"given":"Andreas","family":"Bulling","sequence":"additional","affiliation":[{"name":"University of Stuttgart, Stuttgart, Germany"}]}],"member":"320","published-online":{"date-parts":[[2019,11,14]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2010.86"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.86"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2807442.2807499"},{"volume-title":"Eye movements during everyday behavior predict personality traits.\" Frontiers in Human Neuroscience, 12, 105:1--105:8. 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