{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T02:32:03Z","timestamp":1772159523542,"version":"3.50.1"},"reference-count":82,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3158971","type":"journal-article","created":{"date-parts":[[2022,3,11]],"date-time":"2022-03-11T15:23:45Z","timestamp":1647012225000},"page":"29307-29321","source":"Crossref","is-referenced-by-count":4,"title":["DOES: A Deep Learning-Based Approach to Estimate Roll and Pitch at Sea"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4271-2255","authenticated-orcid":false,"given":"Fabiana Di","family":"Ciaccio","sequence":"first","affiliation":[{"name":"Department of Science and Technology, International Ph.D. Program\/UNESCO Chair &#x201C;Environment, Resources and Sustainable Development,&#x201D;, Parthenope University of Naples, Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paolo","family":"Russo","sequence":"additional","affiliation":[{"name":"Department of Computer, Control and Management Engineering Antonio Ruberti, University of Rome La Sapienza, Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4311-6156","authenticated-orcid":false,"given":"Salvatore","family":"Troisi","sequence":"additional","affiliation":[{"name":"Department of Science and Technology, International Ph.D. Program\/UNESCO Chair &#x201C;Environment, Resources and Sustainable Development,&#x201D;, Parthenope University of Naples, Naples, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/s17102164"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2018.05.104"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CW49994.2020.9247845"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793604"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968467"},{"key":"ref6","article-title":"Evolution of visual odometry techniques","author":"Poddar","year":"2018","journal-title":"arXiv:1804.11142"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2016.2597321"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1561\/2000000094"},{"key":"ref9","first-page":"1","article-title":"Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: A survey","volume-title":"Proc. 23th Int. Conf. Archit. Comput. Syst.","author":"Avci"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/BF02345966"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2010.2053353"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IPIN.2015.7346749"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2011.2163913"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3053843"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/s141222864"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2012.121912.00075"},{"issue":"4","key":"ref17","first-page":"859","article-title":"A DCM based orientation estimation algorithm with an inertial measurement unit and a magnetic compass","volume":"15","author":"Phuong","year":"2009","journal-title":"J. Universal Comput. Sci."},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/PLANS.2004.1309003"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/INES.1997.632450"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/PLANS.2000.838301"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s150819302"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2015.12.058"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1017\/S0373463312000331"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-62800-0_9"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOM.2017.7917873"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.3026895"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2974667"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108664"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/s20030589"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/s16040543"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1177\/1550147718790753"},{"issue":"7","key":"ref32","article-title":"Sea-sky-line detection based on local Otsu segmentation and Hough transform","volume":"45","author":"Yongshou","year":"2018","journal-title":"Opto-Electron. Eng."},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/s18092825"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s00773-017-0464-8"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1177\/1756829318804761"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/s130201919"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/IVCNZ.2016.7804434"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/s18124287"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANSKOBE.2018.8559452"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/s19030687"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967703"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2904512"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2021.3075644"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30642-7_26"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3390\/s21041526"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11021-5_5"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/11744023_32"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR.2016.19"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1177\/0278364915620033"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2910826"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461251"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793512"},{"key":"ref57","first-page":"1","article-title":"Generative adversarial nets","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"27","author":"Goodfellow"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2925555"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/s11431-020-1582-8"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.14198\/JoPha.2017.8.1.03"},{"key":"ref62","volume-title":"Sensormanager.java","year":"2021"},{"key":"ref63","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00300"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref67","first-page":"550","article-title":"Residual networks behave like ensembles of relatively shallow networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Veit"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00281"},{"key":"ref70","volume-title":"BMI260: IMU Combining Accelerometer and Gyroscope","year":"2021"},{"key":"ref71","volume-title":"Monolithic, High Performance, Low Cost 3-Axis Magnetic Sensor","year":"2021"},{"key":"ref72","volume-title":"OnePlus Nord\u2014Specs","year":"2021"},{"key":"ref73","volume-title":"Sony Releases Stacked CMOS Image Sensor for Smartphones","year":"2021"},{"key":"ref74","volume-title":"Simple, Powerful and Modern Development Tools","year":"2021"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.15439\/2014F206"},{"key":"ref76","volume-title":"Sensors Overview","year":"2021"},{"key":"ref77","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1163\/156855303769156983"},{"key":"ref80","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv:1704.04861"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2019.01.011"},{"key":"ref82","volume-title":"HUAWEI P9","year":"2021"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09733371.pdf?arnumber=9733371","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T18:12:28Z","timestamp":1705515148000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9733371\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":82,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3158971","relation":{"has-preprint":[{"id-type":"doi","id":"10.20944\/preprints202111.0182.v1","asserted-by":"object"}]},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}