{"id":"https://openalex.org/W4399171176","doi":"https://doi.org/10.1145/3651781.3651801","title":"Gaze Point Estimation for Four-Person-Table-Meeting Using Omnidirectional Camera","display_name":"Gaze Point Estimation for Four-Person-Table-Meeting Using Omnidirectional Camera","publication_year":2024,"publication_date":"2024-02-01","ids":{"openalex":"https://openalex.org/W4399171176","doi":"https://doi.org/10.1145/3651781.3651801"},"language":"en","primary_location":{"id":"doi:10.1145/3651781.3651801","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3651781.3651801","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3651781.3651801","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 13th International Conference on Software and Computer Applications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3651781.3651801","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002389710","display_name":"Nurul Hidayah Rahim","orcid":"https://orcid.org/0009-0001-2923-1836"},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nurul Hidayah Rahim","raw_affiliation_strings":["Department of Systems Engineering, Hiroshima City University, Japan"],"raw_orcid":"https://orcid.org/0009-0001-2923-1836","affiliations":[{"raw_affiliation_string":"Department of Systems Engineering, Hiroshima City University, Japan","institution_ids":["https://openalex.org/I57930482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077556489","display_name":"Ryusuke Nakayama","orcid":"https://orcid.org/0009-0009-6033-9456"},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryusuke Nakayama","raw_affiliation_strings":["Department of Systems Engineering, Hiroshima City University, Japan"],"raw_orcid":"https://orcid.org/0009-0009-6033-9456","affiliations":[{"raw_affiliation_string":"Department of Systems Engineering, Hiroshima City University, Japan","institution_ids":["https://openalex.org/I57930482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069030165","display_name":"Takeshi Kamio","orcid":"https://orcid.org/0000-0002-7661-0898"},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Kamio","raw_affiliation_strings":["Department of Systems Engineering, Hiroshima City University, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7661-0898","affiliations":[{"raw_affiliation_string":"Department of Systems Engineering, Hiroshima City University, Japan","institution_ids":["https://openalex.org/I57930482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066947005","display_name":"Toshiharu Kosaku","orcid":"https://orcid.org/0009-0007-5667-3254"},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshiharu Kosaku","raw_affiliation_strings":["Department of Systems Engineering, Hiroshima City University, Japan"],"raw_orcid":"https://orcid.org/0009-0007-5667-3254","affiliations":[{"raw_affiliation_string":"Department of Systems Engineering, Hiroshima City University, Japan","institution_ids":["https://openalex.org/I57930482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083617625","display_name":"Shigang Li","orcid":"https://orcid.org/0000-0001-7197-5495"},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shigang Li","raw_affiliation_strings":["Department of Systems Engineering, Hiroshima City University, Japan"],"raw_orcid":"https://orcid.org/0000-0001-7197-5495","affiliations":[{"raw_affiliation_string":"Department of Systems Engineering, Hiroshima City University, Japan","institution_ids":["https://openalex.org/I57930482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I57930482"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06351595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"130","last_page":"136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9994000196456909,"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":0.9994000196456909,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9898999929428101,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9889000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.8373164534568787},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7297171354293823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7189717888832092},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.6987166404724121},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6899598240852356},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.645949125289917},{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.6147727966308594},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5939977765083313},{"id":"https://openalex.org/keywords/perspective-distortion","display_name":"Perspective distortion","score":0.5033318400382996},{"id":"https://openalex.org/keywords/omnidirectional-camera","display_name":"Omnidirectional camera","score":0.49806976318359375},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.46571993827819824},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4275748133659363},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4181283414363861},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3609898090362549},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20991110801696777},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08540219068527222},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.07345220446586609}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.8373164534568787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7297171354293823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7189717888832092},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6987166404724121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6899598240852356},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.645949125289917},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.6147727966308594},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5939977765083313},{"id":"https://openalex.org/C2779989122","wikidata":"https://www.wikidata.org/wiki/Q15889487","display_name":"Perspective distortion","level":3,"score":0.5033318400382996},{"id":"https://openalex.org/C2777953668","wikidata":"https://www.wikidata.org/wiki/Q684116","display_name":"Omnidirectional camera","level":4,"score":0.49806976318359375},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.46571993827819824},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4275748133659363},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4181283414363861},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3609898090362549},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20991110801696777},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08540219068527222},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.07345220446586609},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3651781.3651801","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3651781.3651801","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3651781.3651801","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 13th International Conference on Software and Computer Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3651781.3651801","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3651781.3651801","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3651781.3651801","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 13th International Conference on Software and Computer Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399171176.pdf","grobid_xml":"https://content.openalex.org/works/W4399171176.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W800808052","https://openalex.org/W2125188427","https://openalex.org/W2461911683","https://openalex.org/W2807126412","https://openalex.org/W2965730688","https://openalex.org/W2981785948","https://openalex.org/W3110876131","https://openalex.org/W3160715785","https://openalex.org/W4225464511","https://openalex.org/W4312461822","https://openalex.org/W4312567381","https://openalex.org/W6810727436"],"related_works":["https://openalex.org/W2898919627","https://openalex.org/W4379536980","https://openalex.org/W2666300258","https://openalex.org/W1989062809","https://openalex.org/W2118689766","https://openalex.org/W2625795345","https://openalex.org/W2215517927","https://openalex.org/W2137384304","https://openalex.org/W2786887078","https://openalex.org/W114721022"],"abstract_inverted_index":{"Group":[0],"meeting":[1,134],"around":[2],"a":[3,27,45,80,141,144,157],"table":[4,46],"involves":[5],"multiple":[6,20],"people.":[7,21],"Analyzing":[8],"the":[9,17,58,67,71,84,88,166,179,182,188],"communication":[10],"of":[11,29,57,62,69,90,122,129,132,181],"group":[12,133],"meetings":[13],"needs":[14],"to":[15,147,160],"under-stand":[16],"interaction":[18],"among":[19],"In":[22,101],"this":[23,63,102,176],"paper,":[24,103],"we":[25],"propose":[26],"method":[28,184],"gaze":[30,130,162],"estimation":[31,131],"for":[32,140,175],"four-person-table-meeting":[33],"by":[34,77,87,187],"using":[35,78],"an":[36,91,110],"omnidirectional":[37,40],"camera.":[38],"An":[39],"camera":[41],"is":[42,65,135,153,173,185],"centered":[43],"on":[44],"with":[47,118],"four":[48,51,104],"sides":[49],"while":[50],"participants":[52,72],"sit":[53],"at":[54],"each":[55,115],"side":[56],"table.":[59],"The":[60,127],"advantage":[61],"setup":[64],"that":[66,114],"behavior":[68],"all":[70],"can":[73],"be":[74,98],"observed":[75],"simultaneously":[76],"only":[79],"single":[81],"camera;":[82],"however,":[83],"problems":[85],"caused":[86],"presentation":[89],"equirectangular":[92,111],"image,":[93],"distortion,":[94],"and":[95,156,178],"disconnectivity,":[96],"must":[97],"coped":[99],"with.":[100],"perspective":[105,116,151,168],"images":[106],"are":[107],"generated":[108,150],"from":[109],"image":[112,117,152],"so":[113],"90":[119],"degrees":[120],"field":[121],"view":[123],"covers":[124],"one":[125],"participant.":[126],"task":[128,146,159],"reformulated":[136],"as":[137],"two":[138],"sub-tasks":[139],"specific":[142],"subject:":[143],"classification":[145],"determine":[148],"which":[149],"gazed":[154,167],"at,":[155],"regression":[158],"compute":[161],"point":[163],"position":[164],"in":[165],"image.":[169],"A":[170],"neural":[171],"network":[172],"developed":[174],"goal,":[177],"effectiveness":[180],"proposed":[183],"shown":[186],"experimental":[189],"results.":[190]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
