{"id":"https://openalex.org/W2898220476","doi":"https://doi.org/10.1145/3274783.3275174","title":"GazeLabel","display_name":"GazeLabel","publication_year":2018,"publication_date":"2018-10-26","ids":{"openalex":"https://openalex.org/W2898220476","doi":"https://doi.org/10.1145/3274783.3275174","mag":"2898220476"},"language":"en","primary_location":{"id":"doi:10.1145/3274783.3275174","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3274783.3275174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100320723","display_name":"Zhiyuan Liu","orcid":"https://orcid.org/0000-0002-7709-2543"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Liu","raw_affiliation_strings":["Tsinghua University, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009159023","display_name":"Feitong Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feitong Qiao","raw_affiliation_strings":["Columbia University, NewYork, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University, NewYork, NY","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044070494","display_name":"Haotian Long","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haotian Long","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, P. R. China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100645677","display_name":"Guang Li","orcid":"https://orcid.org/0009-0007-6630-3492"},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Li","raw_affiliation_strings":["Megvii Inc. (Face++), Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Megvii Inc. (Face++), Beijing, P.R. China","institution_ids":["https://openalex.org/I4401726805"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"343","last_page":"344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9997000098228455,"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":0.9997000098228455,"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9546999931335449,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8010255098342896},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.659672200679779},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.650400698184967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5907372236251831},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5527007579803467},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.48345884680747986},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4812695384025574},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.4363182783126831},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.32956552505493164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8010255098342896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.659672200679779},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.650400698184967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5907372236251831},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5527007579803467},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.48345884680747986},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4812695384025574},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.4363182783126831},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32956552505493164},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3274783.3275174","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3274783.3275174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.75,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2038358290","https://openalex.org/W2468114283","https://openalex.org/W2536982654","https://openalex.org/W2761409209","https://openalex.org/W4301045096"],"related_works":["https://openalex.org/W2394134009","https://openalex.org/W2161294397","https://openalex.org/W2012644758","https://openalex.org/W1971984615","https://openalex.org/W2046099857","https://openalex.org/W2806679586","https://openalex.org/W4315836311","https://openalex.org/W2393252924","https://openalex.org/W2787600244","https://openalex.org/W2186532442"],"abstract_inverted_index":{"In":[0],"this":[1,55],"paper,":[2],"we":[3,40,57],"introduce":[4],"GazeLabel:":[5],"a":[6,46,59,77],"cost-free":[7],"data":[8,78],"labeling":[9,79],"system":[10,30,63],"with":[11],"public":[12],"displays":[13],"(at":[14],"bus":[15],"stops,":[16],"metro":[17],"stations,":[18],"shopping":[19],"malls,":[20],"etc.)":[21],"using":[22,81],"eye-tracking":[23,61],"technology.":[24],"With":[25],"built-in":[26],"cameras,":[27],"the":[28,36,72],"proposed":[29],"captures":[31],"pedestrians'":[32],"gaze":[33],"points":[34],"on":[35,54],"screen,":[37],"from":[38],"which":[39],"can":[41],"extract":[42],"information":[43],"and":[44,74],"get":[45],"substantial":[47],"amount":[48],"of":[49],"free":[50],"labeled":[51],"data.":[52],"Based":[53],"idea,":[56],"implemented":[58],"prototype":[60],"data-labeling":[62],"for":[64],"binary":[65],"image":[66],"classifications.":[67],"A":[68],"pilot":[69],"study":[70],"demonstrated":[71],"potential":[73],"practicability":[75],"in":[76],"process":[80],"GazeLabel.":[82]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2018-11-02T00:00:00"}
