{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:22:13Z","timestamp":1750220533790,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T00:00:00Z","timestamp":1621900800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,5,25]]},"DOI":"10.1145\/3448018.3457993","type":"proceedings-article","created":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T13:45:49Z","timestamp":1621950349000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["55 Rides: attention annotated head and gaze data during naturalistic driving"],"prefix":"10.1145","author":[{"given":"Thomas C","family":"K\u00fcbler","sequence":"first","affiliation":[{"name":"University of T\u00fcbingen, Germany"}]},{"given":"Wolfgang","family":"Fuhl","sequence":"additional","affiliation":[{"name":"Eberhard Karls Universit\u00e4t T\u00fcbingen Wilhelm Schickard Institut, Germany"}]},{"given":"Elena","family":"Wagner","sequence":"additional","affiliation":[{"name":"University of T\u00fcbingen, Germany"}]},{"given":"Enkelejda","family":"Kasneci","sequence":"additional","affiliation":[{"name":"University of Tubingen, Germany"}]}],"member":"320","published-online":{"date-parts":[[2021,5,25]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Yehya Abouelnaga Hesham\u00a0M Eraqi and Mohamed\u00a0N Moustafa. 2017. Real-time distracted driver posture classification. arXiv preprint arXiv:1706.09498(2017)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.14"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2017.2743171"},{"key":"e_1_3_2_1_4_1","volume-title":"Internationales Stuttgarter Symposium. Springer, 1093\u20131105","author":"Braunagel Christian","year":"2015","unstructured":"Christian Braunagel, Wolfgang Stolzmann, Enkelejda Kasneci, Thomas\u00a0C K\u00fcbler, Wolfgang Fuhl, and Wolfgang Rosenstiel. 2015. Exploiting the potential of eye movements analysis in the driving context. In 15. Internationales Stuttgarter Symposium. Springer, 1093\u20131105."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.116"},{"key":"e_1_3_2_1_6_1","volume-title":"Predict Accident-Causing Drowsiness Levels. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE","author":"Byrnes Alyssa","year":"2018","unstructured":"Alyssa Byrnes and Cynthia Sturton. 2018. On Using Drivers\u2019 Eyes to Predict Accident-Causing Drowsiness Levels. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2092\u20132097."},{"key":"e_1_3_2_1_7_1","volume-title":"It depends on how you look at it: Scanpath comparison in multiple dimensions with MultiMatch, a vector-based approach. Behavior research methods 44, 4","author":"Dewhurst Richard","year":"2012","unstructured":"Richard Dewhurst, Marcus Nystr\u00f6m, Halszka Jarodzka, Tom Foulsham, Roger Johansson, and Kenneth Holmqvist. 2012. It depends on how you look at it: Scanpath comparison in multiple dimensions with MultiMatch, a vector-based approach. Behavior research methods 44, 4 (2012), 1079\u20131100."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2019.8756620"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917218"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2005.03.010"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2016.47"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3314111.3323074"},{"key":"e_1_3_2_1_13_1","volume-title":"International Conference on Multimodal Interaction Workshops, ICMIW.","author":"Fuhl Wolfgang","year":"2018","unstructured":"Wolfgang Fuhl, Nora Castner, and Enkelejda Kasneci. 2018a. Histogram of oriented velocities for eye movement detection. In International Conference on Multimodal Interaction Workshops, ICMIW."},{"key":"e_1_3_2_1_14_1","volume-title":"International Conference on Multimodal Interaction Workshops, ICMIW.","author":"Fuhl Wolfgang","year":"2018","unstructured":"Wolfgang Fuhl, Nora Castner, and Enkelejda Kasneci. 2018b. Rule based learning for eye movement type detection. In International Conference on Multimodal Interaction Workshops, ICMIW."},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the 2019 ACM Symposium on Eye Tracking Research & Applications (ETRA).","author":"Fuhl Wolfgang","year":"2019","unstructured":"Wolfgang Fuhl, Nora Castner, Thomas\u00a0C. K\u00fcbler, Alexander Lotz, Wolfgang Rosenstiel, and Enkelejda Kasneci. 2019b. Ferns for area of interest free scanpath classification. In Proceedings of the 2019 ACM Symposium on Eye Tracking Research & Applications (ETRA)."},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of the European Conference on Computer Vision (ECCV) Workshops. 0\u20130.","author":"Fuhl Wolfgang","year":"2018","unstructured":"Wolfgang Fuhl, Nora Castner, Lin Zhuang, Markus Holzer, Wolfgang Rosenstiel, and Enkelejda Kasneci. 2018c. Mam: Transfer learning for fully automatic video annotation and specialized detector creation. In Proceedings of the European Conference on Computer Vision (ECCV) Workshops. 0\u20130."},{"key":"e_1_3_2_1_17_1","volume-title":"ACM Symposium on Eye Tracking Research & Applications, ETRA","author":"Fuhl Wolfgang","year":"2020","unstructured":"Wolfgang Fuhl, Hong Gao, and Enkelejda Kasneci. 2020a. Neural networks for optical vector and eye ball parameter estimation. In ACM Symposium on Eye Tracking Research & Applications, ETRA 2020. ACM."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00541"},{"key":"e_1_3_2_1_19_1","unstructured":"Wolfgang Fuhl and Enkelejda Kasneci. 2018. Eye movement velocity and gaze data generator for evaluation robustness testing and assess of eye tracking software and visualization tools. In Poster at Egocentric Perception Interaction and Computing EPIC."},{"key":"e_1_3_2_1_20_1","volume-title":"International Conference on Machine Vision, ICMV.","author":"Fuhl Wolfgang","year":"2019","unstructured":"Wolfgang Fuhl and Enkelejda Kasneci. 2019. Learning to validate the quality of detected landmarks. In International Conference on Machine Vision, ICMV."},{"key":"e_1_3_2_1_21_1","volume-title":"Weight and Gradient Centralization in Deep Neural Networks. arXiv preprint arXiv:2010.00866 (08","author":"Fuhl Wolfgang","year":"2020","unstructured":"Wolfgang Fuhl and Enkelejda Kasneci. 2020. Weight and Gradient Centralization in Deep Neural Networks. arXiv preprint arXiv:2010.00866 (08 2020)."},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of the International Conference on Pattern Recognition. 0\u20130.","author":"Fuhl Wolfgang","year":"2020","unstructured":"Wolfgang Fuhl, Yao Rong, and Kasneci Enkelejda. 2020b. Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction. In Proceedings of the International Conference on Pattern Recognition. 0\u20130."},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of the International Conference on Pattern Recognition. 0\u20130.","author":"Fuhl Wolfgang","year":"2020","unstructured":"Wolfgang Fuhl, Yao Rong, Thomas Motz, Michael Scheidt, Andreas Hartel, Andreas Koch, and Enkelejda Kasneci. 2020c. Explainable Online Validation of Machine Learning Models for Practical Applications. In Proceedings of the International Conference on Pattern Recognition. 0\u20130."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Wolfgang Fuhl Wolfgang Rosenstiel and Enkelejda Kasneci. 2019d. 500 000 images closer to eyelid and pupil segmentation. In Computer Analysis of Images and Patterns CAIP.","DOI":"10.1007\/978-3-030-29888-3_27"},{"key":"e_1_3_2_1_25_1","volume-title":"ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct publication \u2013 PETMEI","author":"Fuhl Wolfgang","year":"2016","unstructured":"Wolfgang Fuhl, Thiago Santini, David Geisler, Thomas\u00a0C. K\u00fcbler, Wolfgang Rosenstiel, and Enkelejda Kasneci. 2016. Eyes Wide Open? Eyelid Location and Eye Aperture Estimation for Pervasive Eye Tracking in Real-World Scenarios. In ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct publication \u2013 PETMEI 2016."},{"key":"e_1_3_2_1_26_1","volume-title":"Fast and Robust Eyelid Outline and Aperture Detection in Real-World Scenarios. In IEEE Winter Conference on Applications of Computer Vision (WACV","author":"Fuhl Wolfgang","year":"2017","unstructured":"Wolfgang Fuhl, Thiago Santini, and Enkelejda Kasneci. 2017. Fast and Robust Eyelid Outline and Aperture Detection in Real-World Scenarios. In IEEE Winter Conference on Applications of Computer Vision (WACV 2017)."},{"key":"e_1_3_2_1_27_1","unstructured":"Wolfgang Fuhl Thiago Santini Thomas\u00a0C. K\u00fcbler Nora Castner Wolfgang Rosenstiel and Enkelejda Kasneci. 2018d. Eye movement simulation and detector creation to reduce laborious parameter adjustments. arXiv preprint arXiv:1804.00970(2018)."},{"key":"e_1_3_2_1_28_1","unstructured":"Takahiro Ishikawa. 2004. Passive driver gaze tracking with active appearance models. (2004)."},{"key":"e_1_3_2_1_29_1","unstructured":"Ashesh Jain Hema\u00a0S Koppula Shane Soh Bharad Raghavan Avi Singh and Ashutosh Saxena. 2016. Brain4cars: Car that knows before you do via sensory-fusion deep learning architecture. arXiv preprint arXiv:1601.00740(2016)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11818-007-0311-y"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0087470"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Sheila\u00a0G Klauer Thomas\u00a0A Dingus Vicki\u00a0L Neale Jeremy\u00a0D Sudweeks David\u00a0J Ramsey 2006. The impact of driver inattention on near-crash\/crash risk: An analysis using the 100-car naturalistic driving study data. (2006).","DOI":"10.1037\/e729262011-001"},{"key":"e_1_3_2_1_33_1","volume-title":"Proceedings of the Symposium on Eye Tracking Research and Applications. 319\u2013322","author":"K\u00fcbler C","year":"2014","unstructured":"Thomas\u00a0C K\u00fcbler, Enkelejda Kasneci, and Wolfgang Rosenstiel. 2014a. Subsmatch: Scanpath similarity in dynamic scenes based on subsequence frequencies. In Proceedings of the Symposium on Eye Tracking Research and Applications. 319\u2013322."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trf.2014.04.016"},{"key":"e_1_3_2_1_35_1","volume-title":"Scanpath comparison and classification based on subsequence frequencies. Behavior research methods 49, 3","author":"K\u00fcbler C","year":"2017","unstructured":"Thomas\u00a0C K\u00fcbler, Colleen Rothe, Ulrich Schiefer, Wolfgang Rosenstiel, and Enkelejda Kasneci. 2017. SubsMatch 2.0: Scanpath comparison and classification based on subsequence frequencies. Behavior research methods 49, 3 (2017), 1048\u20131064."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00289"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2014.124"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Salah Taamneh Panagiotis Tsiamyrtzis Malcolm Dcosta Pradeep Buddharaju Ashik Khatri Michael Manser Thomas Ferris Robert Wunderlich and Ioannis Pavlidis. 2017. A multimodal dataset for various forms of distracted driving. Scientific data 4(2017) 170110.","DOI":"10.1038\/sdata.2017.110"},{"key":"e_1_3_2_1_39_1","volume-title":"2019 IEEE Intelligent Vehicles Symposium (IV). IEEE, 1673\u20131678","author":"Trivedi M","year":"2019","unstructured":"Mohan\u00a0M Trivedi 2019. Attention monitoring and hazard assessment with bio-sensing and vision: Empirical analysis utilizing CNNs on the kitti dataset. In 2019 IEEE Intelligent Vehicles Symposium (IV). IEEE, 1673\u20131678."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2396031"},{"key":"e_1_3_2_1_41_1","volume-title":"Asian conference on computer vision. Springer, 658\u2013674","author":"Xia Ye","year":"2018","unstructured":"Ye Xia, Danqing Zhang, Jinkyu Kim, Ken Nakayama, Karl Zipser, and David Whitney. 2018. Predicting driver attention in critical situations. In Asian conference on computer vision. Springer, 658\u2013674."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cvi.2015.0175"},{"key":"e_1_3_2_1_43_1","volume-title":"A dual-cameras-based driver gaze mapping system with an application on non-driving activities monitoring","author":"Yang Lichao","year":"2019","unstructured":"Lichao Yang, Kuo Dong, Arkadiusz\u00a0Jan Dmitruk, James Brighton, and Yifan Zhao. 2019. A dual-cameras-based driver gaze mapping system with an application on non-driving activities monitoring. IEEE Transactions on Intelligent Transportation Systems (2019)."}],"event":{"name":"ETRA '21: 2021 Symposium on Eye Tracking Research and Applications","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"],"location":"Virtual Event Germany","acronym":"ETRA '21"},"container-title":["ACM Symposium on Eye Tracking Research and Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3448018.3457993","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3448018.3457993","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:59Z","timestamp":1750195499000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3448018.3457993"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,25]]},"references-count":43,"alternative-id":["10.1145\/3448018.3457993","10.1145\/3448018"],"URL":"https:\/\/doi.org\/10.1145\/3448018.3457993","relation":{},"subject":[],"published":{"date-parts":[[2021,5,25]]},"assertion":[{"value":"2021-05-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}