{"id":"https://openalex.org/W2059564568","doi":"https://doi.org/10.1145/2559206.2581157","title":"AirAuth","display_name":"AirAuth","publication_year":2014,"publication_date":"2014-04-26","ids":{"openalex":"https://openalex.org/W2059564568","doi":"https://doi.org/10.1145/2559206.2581157","mag":"2059564568"},"language":"en","primary_location":{"id":"doi:10.1145/2559206.2581157","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2559206.2581157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CHI '14 Extended Abstracts on Human Factors in Computing Systems","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/A5061939102","display_name":"Md Tanvir Islam Aumi","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":true,"raw_author_name":"Md Tanvir Islam Aumi","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027633545","display_name":"Sven Kratz","orcid":"https://orcid.org/0000-0002-0068-0793"},"institutions":[{"id":"https://openalex.org/I26274970","display_name":"FX Palo Alto Laboratory","ror":"https://ror.org/05ef4zt88","country_code":"US","type":"facility","lineage":["https://openalex.org/I26274970"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sven Kratz","raw_affiliation_strings":["FX Palo Alto Laboratory, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"FX Palo Alto Laboratory, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I26274970"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061939102"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":3.9445,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.94025063,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1585","last_page":"1590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11800","display_name":"User Authentication and Security Systems","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9708999991416931,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/gesture","display_name":"Gesture","score":0.9147974848747253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8165388703346252},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.7872624397277832},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6069332957267761},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5978285074234009},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5818614363670349},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.5764753818511963},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5194482207298279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4128657877445221},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4116080701351166},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3603501319885254},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.35263317823410034},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10038590431213379}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.9147974848747253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8165388703346252},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.7872624397277832},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6069332957267761},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5978285074234009},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5818614363670349},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5764753818511963},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5194482207298279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4128657877445221},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4116080701351166},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3603501319885254},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35263317823410034},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10038590431213379},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2559206.2581157","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2559206.2581157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CHI '14 Extended Abstracts on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W178850302","https://openalex.org/W1531770461","https://openalex.org/W1626992774","https://openalex.org/W1971565662","https://openalex.org/W1988412229","https://openalex.org/W2001688498","https://openalex.org/W2054624153","https://openalex.org/W2108525321","https://openalex.org/W2113580342","https://openalex.org/W2128160875","https://openalex.org/W2132849056","https://openalex.org/W2147780311","https://openalex.org/W2157245832","https://openalex.org/W2163582782","https://openalex.org/W2263476525","https://openalex.org/W4255601674","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4312416068","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W1995418324","https://openalex.org/W2805039731","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791"],"abstract_inverted_index":{"AirAuth":[0,69],"is":[1],"a":[2,30,52,71],"biometric,":[3],"gesture-based":[4,111],"authentication":[5],"system":[6],"based":[7],"on":[8,107],"in-air":[9],"gesture":[10,54,84],"input.":[11],"We":[12,35],"describe":[13],"the":[14,37,96],"operations":[15],"necessary":[16],"to":[17,22,49],"sample":[18],"enrollment":[19],"gestures":[20],"and":[21,86,102],"perform":[23],"matching":[24],"for":[25,56,82,89],"authentication,":[26],"using":[27],"data":[28],"from":[29],"short":[31],"range":[32],"depth":[33],"sensor.":[34],"present":[36],"results":[38,62],"of":[39,63,79,98,110],"two":[40],"initial":[41],"user":[42,105],"studies.":[43],"A":[44],"first":[45],"study":[46,66],"was":[47],"conducted":[48],"crowd":[50],"source":[51],"simple":[53,83],"set":[55,85],"use":[57],"in":[58],"further":[59],"evaluations.":[60],"The":[61],"our":[64],"second":[65],"indicate":[67],"that":[68],"achieves":[70],"very":[72],"high":[73],"Equal":[74],"Error":[75],"Rate":[76],"(EER-)based":[77],"accuracy":[78],"96.6":[80],"%":[81,88],"100":[87],"user-specific":[90],"gestures.":[91],"Future":[92],"work":[93],"will":[94],"encompass":[95],"evaluation":[97],"possible":[99],"attack":[100],"scenarios":[101],"obtaining":[103],"qualitative":[104],"feedback":[106],"usability":[108],"advantages":[109],"authentication.":[112]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
