{"id":"https://openalex.org/W3178764435","doi":"https://doi.org/10.1145/3453892.3464896","title":"Methods of identifying touched areas have been wiped properly","display_name":"Methods of identifying touched areas have been wiped properly","publication_year":2021,"publication_date":"2021-06-29","ids":{"openalex":"https://openalex.org/W3178764435","doi":"https://doi.org/10.1145/3453892.3464896","mag":"3178764435"},"language":"en","primary_location":{"id":"doi:10.1145/3453892.3464896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3453892.3464896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference","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/A5036172216","display_name":"Dongho Koo","orcid":"https://orcid.org/0000-0003-2276-4039"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongho Koo","raw_affiliation_strings":["University of Washington, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, South Korea","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080156739","display_name":"Yeon Hee Rho","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yeon Hee Rho","raw_affiliation_strings":["University of Washington, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, South Korea","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020861534","display_name":"Hua Lo","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hua Lo","raw_affiliation_strings":["University of Washington, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, Taiwan","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068487333","display_name":"Nicholas Ames","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas Ames","raw_affiliation_strings":["University of Washington, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, United States","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605902","display_name":"Yuntao Wang","orcid":"https://orcid.org/0000-0002-4249-8893"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuntao Wang","raw_affiliation_strings":["University of Washington, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, China","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059088492","display_name":"John Raiti","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Raiti","raw_affiliation_strings":["University of Washington, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, United States","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07617593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"115","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.987500011920929,"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":0.987500011920929,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9807999730110168,"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/computer-science","display_name":"Computer science","score":0.6171730756759644},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5592968463897705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4937995374202728},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4692862927913666},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.43672409653663635},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11015573143959045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6171730756759644},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5592968463897705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4937995374202728},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4692862927913666},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.43672409653663635},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11015573143959045},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3453892.3464896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3453892.3464896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference","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":2,"referenced_works":["https://openalex.org/W2152433701","https://openalex.org/W3044915203"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"According":[0],"to":[1,23,31,99,112,116],"the":[2,12,16,62,77,110],"CDC,":[3],"COVID-19":[4],"most":[5],"commonly":[6],"spreads":[7],"during":[8],"close":[9],"contact.":[10],"Although":[11],"cleaners":[13],"are":[14,21,95,103],"disinfecting":[15],"public":[17],"places":[18],"where":[19],"they":[20],"expected":[22],"have":[24,36],"been":[25,37],"contacted,":[26],"it":[27],"is":[28],"still":[29,104],"difficult":[30],"know":[32],"exactly":[33],"which":[34,101],"areas":[35,51,102],"touched":[38,48,68,107],"and":[39,49,57,97],"wiped":[40,50,70],"out.":[41],"We":[42],"devised":[43],"combined":[44],"methods":[45],"of":[46,64,91],"detecting":[47],"by":[52],"people,":[53],"using":[54],"both":[55],"thermal":[56],"imaging":[58,86],"cameras.":[59],"It":[60],"detects":[61],"changes":[63],"temperature":[65],"when":[66],"people":[67],"or":[69],"in":[71],"about":[72],"3":[73],"seconds.":[74],"To":[75],"improve":[76],"accuracy,":[78],"we":[79],"utilize":[80],"object":[81],"recognition":[82],"for":[83],"humans":[84],"from":[85],"cameras":[87],"as":[88,106],"a":[89],"method":[90],"filtering.":[92],"All":[93],"marks":[94],"tracked":[96],"calculated,":[98],"disclose":[100],"remaining":[105],"areas,":[108],"revealing":[109],"information":[111],"anyone":[113],"who":[114],"wants":[115],"know.":[117]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
