{"id":"https://openalex.org/W2806275724","doi":"https://doi.org/10.1145/3204493.3204524","title":"Circular orbits detection for gaze interaction using 2D correlation and profile matching algorithms","display_name":"Circular orbits detection for gaze interaction using 2D correlation and profile matching algorithms","publication_year":2018,"publication_date":"2018-06-07","ids":{"openalex":"https://openalex.org/W2806275724","doi":"https://doi.org/10.1145/3204493.3204524","mag":"2806275724"},"language":"en","primary_location":{"id":"doi:10.1145/3204493.3204524","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3204493.3204524","pdf_url":null,"source":{"id":"https://openalex.org/S4306523650","display_name":"Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications","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/A5087672786","display_name":"Eduardo Velloso","orcid":"https://orcid.org/0000-0003-4414-2249"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Eduardo Velloso","raw_affiliation_strings":["The University of Melbourne"],"affiliations":[{"raw_affiliation_string":"The University of Melbourne","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089063185","display_name":"Fl\u00e1vio Luiz Coutinho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Flavio Luiz Coutinho","raw_affiliation_strings":["University of S\u00e3o Paulo"],"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006774096","display_name":"Andrew Kurauchi","orcid":"https://orcid.org/0000-0001-7279-862X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew Kurauchi","raw_affiliation_strings":["University of S\u00e3o Paulo"],"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091099966","display_name":"Carlos H. Morimoto","orcid":"https://orcid.org/0000-0003-4679-2827"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlos H Morimoto","raw_affiliation_strings":["University of S\u00e3o Paulo"],"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087672786"],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":1.8901,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.85710254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9998999834060669,"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":0.9998999834060669,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9915000200271606,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9914000034332275,"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/thresholding","display_name":"Thresholding","score":0.8148361444473267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7444016337394714},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6779133081436157},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.6397828459739685},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6326450705528259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5489410161972046},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5110955834388733},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4964497685432434},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.45101290941238403},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4491916000843048},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3728969693183899},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20554152131080627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14814525842666626}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.8148361444473267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7444016337394714},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6779133081436157},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.6397828459739685},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6326450705528259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5489410161972046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5110955834388733},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4964497685432434},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.45101290941238403},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4491916000843048},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3728969693183899},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20554152131080627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14814525842666626},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3204493.3204524","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3204493.3204524","pdf_url":null,"source":{"id":"https://openalex.org/S4306523650","display_name":"Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320974","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98"},{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1990266873","https://openalex.org/W1995055145","https://openalex.org/W2036637381","https://openalex.org/W2040076692","https://openalex.org/W2080033725","https://openalex.org/W2095199223","https://openalex.org/W2146567024","https://openalex.org/W2160049071","https://openalex.org/W2176017127","https://openalex.org/W2295148469","https://openalex.org/W2394898941","https://openalex.org/W2412889296","https://openalex.org/W2508943994","https://openalex.org/W2516359176","https://openalex.org/W2520352456","https://openalex.org/W2548042282","https://openalex.org/W2552826947","https://openalex.org/W2563529672","https://openalex.org/W2571081175","https://openalex.org/W2608298913","https://openalex.org/W2611831707","https://openalex.org/W2735276006","https://openalex.org/W2755890641","https://openalex.org/W2761160427","https://openalex.org/W2765986156","https://openalex.org/W2766328706"],"related_works":["https://openalex.org/W2385108104","https://openalex.org/W1999328396","https://openalex.org/W1589443630","https://openalex.org/W2183271128","https://openalex.org/W1585794270","https://openalex.org/W3033353262","https://openalex.org/W1561602432","https://openalex.org/W2113986142","https://openalex.org/W2395511366","https://openalex.org/W2148725491"],"abstract_inverted_index":{"Recently,":[0],"interaction":[1,28,41],"techniques":[2,42,111],"in":[3,23,93,101],"which":[4],"the":[5,15,24,88,96,106,117,125,136],"user":[6,121],"selects":[7],"screen":[8],"targets":[9],"by":[10],"matching":[11,67],"their":[12],"movement":[13],"with":[14,83,128],"input":[16],"device":[17],"have":[18,43],"been":[19,44],"gaining":[20],"popularity,":[21],"particularly":[22],"context":[25],"of":[26,51,80,108],"gaze":[27],"(e.g.":[29],"Pursuits,":[30],"Orbits,":[31],"AmbiGaze,":[32],"etc.).":[33],"However,":[34],"though":[35],"many":[36],"algorithms":[37,65,82,118],"for":[38,66],"enabling":[39],"such":[40],"proposed,":[45],"we":[46,61],"still":[47],"lack":[48],"an":[49],"understanding":[50],"how":[52],"they":[53],"compare":[54],"to":[55,134],"each":[56],"other.":[57],"In":[58],"this":[59],"paper,":[60],"introduce":[62],"two":[63,84,109],"new":[64],"eye":[68],"movements:":[69],"Profile":[70],"Matching":[71],"and":[72,75,95,112,123,131],"2D":[73,126],"Correlation,":[74],"present":[76],"a":[77,120],"systematic":[78],"comparison":[79],"these":[81],"other":[85],"state-of-the-art":[86],"algorithms:":[87],"Basic":[89],"Correlation":[90,98,127],"algorithm":[91,99],"used":[92,100],"Pursuits":[94],"Rotated":[97],"PathSync.":[102],"We":[103,115],"also":[104],"examine":[105],"effects":[107],"thresholding":[110,130],"post-hoc":[113,132],"filtering.":[114],"evaluated":[116],"on":[119],"dataset":[122],"found":[124],"one-level":[129],"filtering":[133],"be":[135],"best":[137],"performing":[138],"algorithm.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}