{"id":"https://openalex.org/W4399202822","doi":"https://doi.org/10.1145/3649902.3655646","title":"WEyeDS: A desktop webcam dataset for gaze estimation","display_name":"WEyeDS: A desktop webcam dataset for gaze estimation","publication_year":2024,"publication_date":"2024-05-31","ids":{"openalex":"https://openalex.org/W4399202822","doi":"https://doi.org/10.1145/3649902.3655646"},"language":"en","primary_location":{"id":"doi:10.1145/3649902.3655646","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649902.3655646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 Symposium on Eye Tracking Research and 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/A5079998956","display_name":"A. A. Evdokimov","orcid":"https://orcid.org/0009-0007-1919-3446"},"institutions":[{"id":"https://openalex.org/I158012942","display_name":"University of Richmond","ror":"https://ror.org/03y71xh61","country_code":"US","type":"education","lineage":["https://openalex.org/I158012942"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anatolii Evdokimov","raw_affiliation_strings":["University of Richmond, United States"],"raw_orcid":"https://orcid.org/0009-0007-1919-3446","affiliations":[{"raw_affiliation_string":"University of Richmond, United States","institution_ids":["https://openalex.org/I158012942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039544534","display_name":"Catherine Finegan\u2010Dollak","orcid":"https://orcid.org/0000-0003-4316-565X"},"institutions":[{"id":"https://openalex.org/I158012942","display_name":"University of Richmond","ror":"https://ror.org/03y71xh61","country_code":"US","type":"education","lineage":["https://openalex.org/I158012942"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Catherine Finegan-Dollak","raw_affiliation_strings":["University of Richmond, United States"],"raw_orcid":"https://orcid.org/0000-0003-4316-565X","affiliations":[{"raw_affiliation_string":"University of Richmond, United States","institution_ids":["https://openalex.org/I158012942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019425119","display_name":"Arryn Robbins","orcid":"https://orcid.org/0000-0002-8629-1210"},"institutions":[{"id":"https://openalex.org/I158012942","display_name":"University of Richmond","ror":"https://ror.org/03y71xh61","country_code":"US","type":"education","lineage":["https://openalex.org/I158012942"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arryn Robbins","raw_affiliation_strings":["University of Richmond, United States"],"raw_orcid":"https://orcid.org/0000-0002-8629-1210","affiliations":[{"raw_affiliation_string":"University of Richmond, United States","institution_ids":["https://openalex.org/I158012942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079998956"],"corresponding_institution_ids":["https://openalex.org/I158012942"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06941687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.9332000017166138,"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":0.9024999737739563,"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/gaze","display_name":"Gaze","score":0.8173013925552368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7939673662185669},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6641860008239746},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.6213966608047485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6029835939407349}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.8173013925552368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7939673662185669},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6641860008239746},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.6213966608047485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6029835939407349}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3649902.3655646","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649902.3655646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 Symposium on Eye Tracking Research and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4399999976158142,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2468114283","https://openalex.org/W3086471466","https://openalex.org/W4387523168","https://openalex.org/W6795059622"],"related_works":["https://openalex.org/W2385108104","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747"],"abstract_inverted_index":{"We":[0,54],"introduce":[1],"the":[2,23,56,88],"Webcam":[3],"Eye":[4],"Dataset":[5],"(WEyeDS)":[6],"1,":[7],"a":[8,28,59],"dataset":[9,29,37,57],"of":[10,25,65,90],"images":[11],"collected":[12,39],"from":[13,40],"desktops":[14],"and":[15,79,92],"laptops.":[16],"WEyeDS":[17],"will":[18,85],"be":[19],"openly":[20],"available":[21],"with":[22],"goal":[24],"providing":[26],"researchers":[27],"for":[30],"training":[31],"gaze":[32],"estimation":[33],"models.":[34],"Our":[35],"preliminary":[36],"was":[38],"38":[41],"participants":[42,91],"who":[43],"completed":[44],"prosaccade":[45],"tasks":[46],"on":[47],"their":[48],"personal":[49],"desktop":[50],"or":[51],"laptop":[52],"computer.":[53],"benchmarked":[55],"using":[58],"convolutional":[60],"neural":[61],"network.":[62],"The":[63],"results":[64],"our":[66],"benchmark":[67],"model":[68],"demonstrate":[69],"some":[70],"challenges":[71],"in":[72],"accuracy":[73],"due":[74],"to":[75],"variability":[76],"across":[77],"devices":[78],"small":[80],"sample":[81],"size.":[82],"Future":[83],"work":[84],"significantly":[86],"expand":[87],"number":[89],"frames.":[93]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}