{"id":"https://openalex.org/W4388727253","doi":"https://doi.org/10.1109/gcce59613.2023.10315305","title":"Age group identification using gaze-guided feature extraction","display_name":"Age group identification using gaze-guided feature extraction","publication_year":2023,"publication_date":"2023-10-10","ids":{"openalex":"https://openalex.org/W4388727253","doi":"https://doi.org/10.1109/gcce59613.2023.10315305"},"language":"en","primary_location":{"id":"doi:10.1109/gcce59613.2023.10315305","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcce59613.2023.10315305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)","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/A5001334361","display_name":"Michiko Inoue","orcid":null},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Michiko Inoue","raw_affiliation_strings":["Tottori University,Graduate School of Engineering,Japan","Graduate School of Engineering, Tottori University, Japan"],"affiliations":[{"raw_affiliation_string":"Tottori University,Graduate School of Engineering,Japan","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Graduate School of Engineering, Tottori University, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054129619","display_name":"Masashi Nishiyama","orcid":"https://orcid.org/0000-0002-5964-3209"},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masashi Nishiyama","raw_affiliation_strings":["Tottori University,Graduate School of Engineering,Japan","Graduate School of Engineering, Tottori University, Japan"],"affiliations":[{"raw_affiliation_string":"Tottori University,Graduate School of Engineering,Japan","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Graduate School of Engineering, Tottori University, Japan","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059654927","display_name":"Yoshio Iwai","orcid":"https://orcid.org/0000-0003-2248-4563"},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshio Iwai","raw_affiliation_strings":["Tottori University,Graduate School of Engineering,Japan","Graduate School of Engineering, Tottori University, Japan"],"affiliations":[{"raw_affiliation_string":"Tottori University,Graduate School of Engineering,Japan","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Graduate School of Engineering, Tottori University, Japan","institution_ids":["https://openalex.org/I4588055"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001334361"],"corresponding_institution_ids":["https://openalex.org/I4588055"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14902642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"708","last_page":"711"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9973000288009644,"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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9973000288009644,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9753000140190125,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9470999836921692,"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":0.9216341376304626},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.8159042596817017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7764066457748413},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6424436569213867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6376770734786987},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6062967777252197},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5093935132026672},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5000710487365723},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.49443578720092773},{"id":"https://openalex.org/keywords/age-groups","display_name":"Age groups","score":0.4386464059352875}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.9216341376304626},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.8159042596817017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7764066457748413},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6424436569213867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6376770734786987},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6062967777252197},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5093935132026672},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5000710487365723},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49443578720092773},{"id":"https://openalex.org/C2986834420","wikidata":"https://www.wikidata.org/wiki/Q5932254","display_name":"Age groups","level":2,"score":0.4386464059352875},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce59613.2023.10315305","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcce59613.2023.10315305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)","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":8,"referenced_works":["https://openalex.org/W2103394661","https://openalex.org/W2111025459","https://openalex.org/W2308869522","https://openalex.org/W2612788259","https://openalex.org/W2886961612","https://openalex.org/W2894187851","https://openalex.org/W3187415662","https://openalex.org/W6698448323"],"related_works":["https://openalex.org/W1880689012","https://openalex.org/W3014378845","https://openalex.org/W4240909707","https://openalex.org/W2059546927","https://openalex.org/W3207760378","https://openalex.org/W4386072035","https://openalex.org/W2562758970","https://openalex.org/W1986970529","https://openalex.org/W2947492009","https://openalex.org/W2165547995"],"abstract_inverted_index":{"When":[0],"an":[1,11,21,42,73,89],"observer":[2,50,80],"identifies":[3],"the":[4,13,29,39,60,70,79,95,98,102,110,121],"age":[5,32,104,124],"group":[6,33,125],"of":[7,31,69,97,101,123],"a":[8,18],"subject":[9,99],"in":[10,114],"image,":[12],"observer\u2019s":[14,43,74,90],"gaze":[15,44,51,75,91],"focuses":[16],"on":[17,52,57,77],"region":[19],"containing":[20,59],"informative":[22],"feature.":[23],"Our":[24],"aim":[25],"is":[26,92],"to":[27,94],"improve":[28],"accuracy":[30,122],"identification":[34],"by":[35],"extracting":[36],"features":[37],"from":[38],"regions":[40,68],"where":[41],"converges.":[45],"Existing":[46],"studies":[47],"have":[48],"analysed":[49,66],"facial":[53],"images,":[54],"but":[55],"not":[56],"images":[58],"subject\u2019s":[61,103],"whole":[62],"body.":[63],"Here,":[64],"we":[65],"which":[67],"whole-body":[71],"image":[72],"focused":[76],"while":[78],"performed":[81],"this":[82],"task.":[83],"The":[84],"experimental":[85],"results":[86],"revealed":[87,108],"that":[88,109],"drawn":[93],"head":[96],"regardless":[100],"group.":[105],"They":[106],"also":[107],"gaze-guided":[111],"feature":[112],"extraction":[113],"deep":[115],"learning":[116,119],"and":[117],"machine":[118],"improved":[120],"identification.":[126]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}