{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:32:34Z","timestamp":1750221154777,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,6,14]],"date-time":"2018-06-14T00:00:00Z","timestamp":1528934400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100008848","name":"Elitenetzwerk Bayern","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008848","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,6,14]]},"DOI":"10.1145\/3204493.3208346","type":"proceedings-article","created":{"date-parts":[[2018,6,7]],"date-time":"2018-06-07T13:57:46Z","timestamp":1528379866000},"page":"1-3","source":"Crossref","is-referenced-by-count":1,"title":["Deep learning vs. manual annotation of eye movements"],"prefix":"10.1145","author":[{"given":"Mikhail","family":"Startsev","sequence":"first","affiliation":[{"name":"Technical University of Munich, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ioannis","family":"Agtzidis","sequence":"additional","affiliation":[{"name":"Technical University of Munich, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Dorr","sequence":"additional","affiliation":[{"name":"Technical University of Munich, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,6,14]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ETVIS.2016.7851169"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2857491.2857521"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532935"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Richard Andersson Linnea Larsson Kenneth Holmqvist Martin Stridh and Marcus Nystr\u00f6m. 2017. One algorithm to rule them all? An evaluation and discussion of ten eye movement event-detection algorithms. Behavior Research Methods 49 2 (01 Apr 2017) 616--637.  Richard Andersson Linnea Larsson Kenneth Holmqvist Martin Stridh and Marcus Nystr\u00f6m. 2017. One algorithm to rule them all? An evaluation and discussion of ten eye movement event-detection algorithms. Behavior Research Methods 49 2 (01 Apr 2017) 616--637.","DOI":"10.3758\/s13428-016-0738-9"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1167\/9.5.19"},{"key":"e_1_3_2_1_6_1","unstructured":"Fran\u00e7ois Chollet et al. 2015. Keras. https:\/\/github.com\/keras-team\/keras. (2015).  Fran\u00e7ois Chollet et al. 2015. Keras. https:\/\/github.com\/keras-team\/keras. (2015)."},{"volume-title":"Long-Term Recurrent Convolutional Networks for Visual Recognition and Description. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","year":"2015","author":"Donahue Jeffrey","key":"e_1_3_2_1_7_1"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1167\/10.10.28"},{"key":"e_1_3_2_1_9_1","unstructured":"Ignace T. C. Hooge Diederick C. Niehorster Marcus Nystr\u00f6m Richard Andersson and Roy S. Hessels. 2017. Is human classification by experienced untrained observers a gold standard in fixation detection? Behavior Research Methods (19 Oct 2017).  Ignace T. C. Hooge Diederick C. Niehorster Marcus Nystr\u00f6m Richard Andersson and Roy S. Hessels. 2017. Is human classification by experienced untrained observers a gold standard in fixation detection? Behavior Research Methods (19 Oct 2017)."},{"key":"e_1_3_2_1_10_1","unstructured":"Sabrina Hoppe and Andreas Bulling. 2016. End-to-End Eye Movement Detection Using Convolutional Neural Networks. ArXiv e-prints (Sept. 2016). arXiv:cs.CV\/1609.02452  Sabrina Hoppe and Andreas Bulling. 2016. End-to-End Eye Movement Detection Using Convolutional Neural Networks. ArXiv e-prints (Sept. 2016). arXiv:cs.CV\/1609.02452"},{"key":"e_1_3_2_1_11_1","unstructured":"Oleg V Komogortsev. 2014. Eye Movement Classification Software. http:\/\/cs.txstate.edu\/~ok11\/emd_offline.html. (2014).  Oleg V Komogortsev. 2014. Eye Movement Classification Software. http:\/\/cs.txstate.edu\/~ok11\/emd_offline.html. (2014)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2010.2057429"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.3758\/s13428-012-0234-9"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.preteyeres.2006.01.002"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Linn\u00e9a Larsson Marcus Nystr\u00f6m Richard Andersson and Martin Stridh. 2015. Detection of fixations and smooth pursuit movements in high-speed eye-tracking data. 18 (2015) 145--152.  Linn\u00e9a Larsson Marcus Nystr\u00f6m Richard Andersson and Martin Stridh. 2015. Detection of fixations and smooth pursuit movements in high-speed eye-tracking data. 18 (2015) 145--152.","DOI":"10.1016\/j.bspc.2014.12.008"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2013.2258918"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.456"},{"key":"e_1_3_2_1_18_1","unstructured":"Javier San Agustin. 2010. Off-the-shelf gaze interaction. Ph.D. Dissertation. IT-Universitetet i K\u00f8benhavn.  Javier San Agustin. 2010. Off-the-shelf gaze interaction. Ph.D. Dissertation. IT-Universitetet i K\u00f8benhavn."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2857491.2857512"},{"key":"e_1_3_2_1_20_1","unstructured":"Mikhail Startsev Ioannis Agtzidis and Michael Dorr. 2016. Smooth Pursuit. http:\/\/michaeldorr.de\/smoothpursuit\/. (2016).  Mikhail Startsev Ioannis Agtzidis and Michael Dorr. 2016. Smooth Pursuit. http:\/\/michaeldorr.de\/smoothpursuit\/. (2016)."},{"key":"e_1_3_2_1_21_1","unstructured":"Tijmen Tieleman and Geoffrey Hinton. 2012. Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude. COURSERA: Neural networks for machine learning 4 2 (2012) 26--31.  Tijmen Tieleman and Geoffrey Hinton. 2012. Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude. COURSERA: Neural networks for machine learning 4 2 (2012) 26--31."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2168556.2168586"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2006.10.001"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Alfred L. Yarbus. 1967. Eye Movements During Perception of Moving Objects. Springer US Boston MA 159--170.  Alfred L. Yarbus. 1967. Eye Movements During Perception of Moving Objects. Springer US Boston MA 159--170.","DOI":"10.1007\/978-1-4899-5379-7_7"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Raimondas Zemblys Diederick C Niehorster Oleg Komogortsev and Kenneth Holmqvist. 2017. Using machine learning to detect events in eye-tracking data. Behavior Research Methods (2017) 1--22.  Raimondas Zemblys Diederick C Niehorster Oleg Komogortsev and Kenneth Holmqvist. 2017. Using machine learning to detect events in eye-tracking data. Behavior Research Methods (2017) 1--22.","DOI":"10.3758\/s13428-017-0860-3"}],"event":{"name":"ETRA '18: 2018 Symposium on Eye Tracking Research and Applications","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques","SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Warsaw Poland","acronym":"ETRA '18"},"container-title":["Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3204493.3208346","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3208346&ftid=1978699&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:08:31Z","timestamp":1750208911000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3204493.3208346"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,14]]},"references-count":25,"alternative-id":["10.1145\/3204493.3208346","10.1145\/3204493"],"URL":"https:\/\/doi.org\/10.1145\/3204493.3208346","relation":{},"subject":[],"published":{"date-parts":[[2018,6,14]]}}}