{"id":"https://openalex.org/W2921897326","doi":"https://doi.org/10.1109/tvcg.2019.2899186","title":"Motion Sickness Prediction in Stereoscopic Videos using 3D Convolutional Neural Networks","display_name":"Motion Sickness Prediction in Stereoscopic Videos using 3D Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-03-16","ids":{"openalex":"https://openalex.org/W2921897326","doi":"https://doi.org/10.1109/tvcg.2019.2899186","mag":"2921897326","pmid":"https://pubmed.ncbi.nlm.nih.gov/30794181"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2019.2899186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2019.2899186","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112854760","display_name":"Tae Min Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Tae Min Lee","raw_affiliation_strings":["Kangwon National University"],"affiliations":[{"raw_affiliation_string":"Kangwon National University","institution_ids":["https://openalex.org/I165507594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046100914","display_name":"Jong\u2010Chul Yoon","orcid":"https://orcid.org/0000-0001-6846-9225"},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong-Chul Yoon","raw_affiliation_strings":["Kangwon National University"],"affiliations":[{"raw_affiliation_string":"Kangwon National University","institution_ids":["https://openalex.org/I165507594"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028464272","display_name":"In\u2010Kwon Lee","orcid":"https://orcid.org/0000-0002-1534-1882"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"In-Kwon Lee","raw_affiliation_strings":["Yonsei University"],"affiliations":[{"raw_affiliation_string":"Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112854760"],"corresponding_institution_ids":["https://openalex.org/I165507594"],"apc_list":null,"apc_paid":null,"fwci":3.678,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.94563281,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"25","issue":"5","first_page":"1919","last_page":"1927"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11408","display_name":"Advanced Optical Imaging Technologies","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8435114622116089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.790438711643219},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7591619491577148},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7141771912574768},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.6490626335144043},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6433017253875732},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5885422825813293},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5216425061225891},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.49051278829574585},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45839154720306396},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4562559723854065},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4401169717311859},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4368003308773041},{"id":"https://openalex.org/keywords/motion-sickness","display_name":"Motion sickness","score":0.42627424001693726},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3582000136375427},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16127249598503113}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8435114622116089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.790438711643219},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7591619491577148},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7141771912574768},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.6490626335144043},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6433017253875732},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5885422825813293},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5216425061225891},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.49051278829574585},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45839154720306396},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4562559723854065},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4401169717311859},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4368003308773041},{"id":"https://openalex.org/C2779336972","wikidata":"https://www.wikidata.org/wiki/Q309067","display_name":"Motion sickness","level":2,"score":0.42627424001693726},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3582000136375427},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16127249598503113},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2019.2899186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2019.2899186","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:30794181","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30794181","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2012890450","display_name":null,"funder_award_id":"IITP-2018-0-01419","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G770591710","display_name":null,"funder_award_id":"NRF-2017R1A2B4005469","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W65124300","https://openalex.org/W200647820","https://openalex.org/W639708223","https://openalex.org/W1520802102","https://openalex.org/W1522301498","https://openalex.org/W1522734439","https://openalex.org/W1545592463","https://openalex.org/W1591726516","https://openalex.org/W1632660834","https://openalex.org/W1686443524","https://openalex.org/W1704809694","https://openalex.org/W1923404803","https://openalex.org/W1983364832","https://openalex.org/W1992082721","https://openalex.org/W1993968228","https://openalex.org/W1994877858","https://openalex.org/W2022934794","https://openalex.org/W2024828393","https://openalex.org/W2028390158","https://openalex.org/W2039103268","https://openalex.org/W2046297523","https://openalex.org/W2054536235","https://openalex.org/W2064675550","https://openalex.org/W2085282298","https://openalex.org/W2091340965","https://openalex.org/W2097117768","https://openalex.org/W2099471712","https://openalex.org/W2101004019","https://openalex.org/W2107833399","https://openalex.org/W2112796928","https://openalex.org/W2117248802","https://openalex.org/W2128272608","https://openalex.org/W2163605009","https://openalex.org/W2165763959","https://openalex.org/W2187099477","https://openalex.org/W2194775991","https://openalex.org/W2235034809","https://openalex.org/W2342688137","https://openalex.org/W2546592796","https://openalex.org/W2547104538","https://openalex.org/W2552035314","https://openalex.org/W2555254696","https://openalex.org/W2561270043","https://openalex.org/W2575671312","https://openalex.org/W2609719703","https://openalex.org/W2766343727","https://openalex.org/W2791342729","https://openalex.org/W2892247518","https://openalex.org/W2919115771","https://openalex.org/W2953384591","https://openalex.org/W2962793481","https://openalex.org/W2963150697","https://openalex.org/W2963446712","https://openalex.org/W2963828885","https://openalex.org/W2963874375","https://openalex.org/W4232186080","https://openalex.org/W4250098481","https://openalex.org/W4320013936","https://openalex.org/W6608183409","https://openalex.org/W6630966320","https://openalex.org/W6637374939","https://openalex.org/W6640257725","https://openalex.org/W6684191040","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2412580036","https://openalex.org/W3045779227","https://openalex.org/W2347647731","https://openalex.org/W2799385722","https://openalex.org/W3028657884","https://openalex.org/W2012410061","https://openalex.org/W2970427506","https://openalex.org/W2053610073","https://openalex.org/W2030154815","https://openalex.org/W2051121715"],"abstract_inverted_index":{"In":[0],"this":[1,53],"paper,":[2],"we":[3,55,87],"propose":[4],"a":[5,22,33,46,126],"three-dimensional":[6],"(3D)":[7],"convolutional":[8],"neural":[9],"network":[10],"(CNN)-based":[11],"method":[12],"for":[13],"predicting":[14],"the":[15,28,39,76,79,89,93,111,119,123,131],"degree":[16,112],"of":[17,45,63,78,113,133],"motion":[18,40,114],"sickness":[19,115],"induced":[20],"by":[21],"360\u00b0":[23],"stereoscopic":[24],"video.":[25],"We":[26],"consider":[27],"user's":[29],"eye":[30,69],"movement":[31],"as":[32,75],"new":[34],"feature,":[35],"in":[36,49,92],"addition":[37],"to":[38,130],"velocity":[41],"and":[42,60,72,103,122],"depth":[43],"features":[44],"video":[47],"used":[48],"previous":[50,94,120],"work.":[51],"For":[52],"purpose,":[54],"use":[56],"saliency,":[57],"optical":[58],"flow,":[59],"disparity":[61],"maps":[62],"an":[64],"input":[65,77],"video,":[66],"which":[67],"represent":[68],"movement,":[70],"velocity,":[71],"depth,":[73],"respectively,":[74],"3D":[80],"CNN.":[81],"To":[82],"train":[83],"our":[84,107],"machine-learning":[85],"model,":[86],"extend":[88],"dataset":[90],"established":[91],"work":[95],"using":[96],"two":[97],"data":[98],"augmentation":[99],"techniques:":[100],"frame":[101],"shifting":[102],"pixel":[104],"shifting.":[105],"Consequently,":[106],"model":[108],"can":[109],"predict":[110],"more":[116,127],"precisely":[117],"than":[118],"method,":[121],"results":[124],"have":[125],"similar":[128],"correlation":[129],"distribution":[132],"ground-truth":[134],"sickness.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}