{"id":"https://openalex.org/W4405785321","doi":"https://doi.org/10.1109/iros58592.2024.10801891","title":"Toward Micro Eye Movement Detection in Practice: Stand-alone Eye Tracker with High Resolution and Wide Measurement Range","display_name":"Toward Micro Eye Movement Detection in Practice: Stand-alone Eye Tracker with High Resolution and Wide Measurement Range","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405785321","doi":"https://doi.org/10.1109/iros58592.2024.10801891"},"language":"en","primary_location":{"id":"doi:10.1109/iros58592.2024.10801891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5105889514","display_name":"Keiko Yokoyama","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Keiko Yokoyama","raw_affiliation_strings":["NEC,Visual Intelligence Research Laboratories,Japan"],"affiliations":[{"raw_affiliation_string":"NEC,Visual Intelligence Research Laboratories,Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028345188","display_name":"Tomohiro Sueishi","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Sueishi","raw_affiliation_strings":["Tokyo Univ. of Science,Research Institute for Science,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Univ. of Science,Research Institute for Science,Tokyo,Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009387675","display_name":"Michiaki Inoue","orcid":"https://orcid.org/0000-0002-5715-2123"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michiaki Inoue","raw_affiliation_strings":["NEC Solution Innovators, Ltd.,Digital Solutions Division,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"NEC Solution Innovators, Ltd.,Digital Solutions Division,Tokyo,Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104078314","display_name":"Shoji Yachida","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shoji Yachida","raw_affiliation_strings":["NEC,Visual Intelligence Research Laboratories,Japan"],"affiliations":[{"raw_affiliation_string":"NEC,Visual Intelligence Research Laboratories,Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110507817","display_name":"Toshinori Hosoi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Toshinori Hosoi","raw_affiliation_strings":["NEC,Visual Intelligence Research Laboratories,Japan"],"affiliations":[{"raw_affiliation_string":"NEC,Visual Intelligence Research Laboratories,Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010897098","display_name":"Masatoshi Ishikawa","orcid":"https://orcid.org/0000-0002-6096-830X"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masatoshi Ishikawa","raw_affiliation_strings":["Tokyo Univ. of Science,Research Institute for Science,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Univ. of Science,Research Institute for Science,Tokyo,Japan","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5105889514"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24750256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"10634","last_page":"10641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9641000032424927,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9075999855995178,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/eye-movement","display_name":"Eye movement","score":0.6621511578559875},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.6160589456558228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5557618141174316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5075668096542358},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5070178508758545},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.4773402512073517},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4428134560585022},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.43064746260643005},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.17258316278457642},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.148721843957901},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13611730933189392},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.08662986755371094},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0787416398525238}],"concepts":[{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.6621511578559875},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.6160589456558228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5557618141174316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5075668096542358},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5070178508758545},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.4773402512073517},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4428134560585022},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.43064746260643005},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.17258316278457642},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.148721843957901},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13611730933189392},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.08662986755371094},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0787416398525238},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros58592.2024.10801891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1976580685","https://openalex.org/W1995688803","https://openalex.org/W2109611974","https://openalex.org/W2139551810","https://openalex.org/W2158363907","https://openalex.org/W2166415720","https://openalex.org/W2166964954","https://openalex.org/W2204652229","https://openalex.org/W2412521728","https://openalex.org/W2544605860","https://openalex.org/W2791275112","https://openalex.org/W2810586486","https://openalex.org/W2918637250","https://openalex.org/W3008411300","https://openalex.org/W3012867918","https://openalex.org/W3044768659","https://openalex.org/W3129032055","https://openalex.org/W3187608022","https://openalex.org/W4221055185","https://openalex.org/W4250666038","https://openalex.org/W6727549856","https://openalex.org/W6816418009"],"related_works":["https://openalex.org/W4384434815","https://openalex.org/W1701036363","https://openalex.org/W2958385752","https://openalex.org/W1561131412","https://openalex.org/W1981014703","https://openalex.org/W4206950173","https://openalex.org/W2186236678","https://openalex.org/W2113629050","https://openalex.org/W2978078285","https://openalex.org/W1975214622"],"abstract_inverted_index":{"Detecting":[0],"the":[1,26,72,95,99,122,126],"micromovements":[2],"of":[3,52,114,125],"eyes":[4],"that":[5,44,82],"reflect":[6],"a":[7,30,40,50,58,91],"person\u2019s":[8],"inner":[9],"state":[10],"can":[11],"be":[12],"an":[13,65,112],"essential":[14],"step":[15],"in":[16,76,94],"many":[17],"applications,":[18],"but":[19],"most":[20],"eye":[21,42,101],"trackers":[22],"need":[23],"to":[24,33,108,116],"fix":[25],"subject\u2019s":[27],"head":[28],"using":[29],"chin":[31],"rest":[32],"obtain":[34],"sufficient":[35,105],"data":[36,106],"quality.":[37],"We":[38,119],"propose":[39],"stand-alone":[41],"tracker":[43,102],"utilizes":[45],"two":[46],"500":[47],"fps":[48],"cameras,":[49],"pair":[51],"rotating":[53],"mirrors":[54],"for":[55,61,129],"gaze":[56],"control,":[57],"liquid":[59],"lens":[60],"focus":[62],"control":[63],"and":[64,69],"intensity-controllable":[66],"light":[67],"source,":[68],"describe":[70],"how":[71],"proposed":[73,127],"system":[74,84,128],"works":[75],"real-time.":[77],"The":[78],"experimental":[79],"results":[80],"show":[81],"our":[83],"covers":[85],"more":[86],"than":[87],"twice":[88],"as":[89,98],"wide":[90],"measurement":[92],"range":[93],"depth":[96],"direction":[97],"conventional":[100],"while":[103],"achieving":[104],"quality":[107],"analyze":[109],"microsaccades":[110],"with":[111],"amplitude":[113],"down":[115],"0.2":[117],"deg.":[118],"also":[120],"examine":[121],"practical":[123],"use":[124],"microsaccade":[130],"detection.":[131]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
