{"id":"https://openalex.org/W2074406744","doi":"https://doi.org/10.1109/wacv.2015.35","title":"Touch Gesture-Based Active User Authentication Using Dictionaries","display_name":"Touch Gesture-Based Active User Authentication Using Dictionaries","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2074406744","doi":"https://doi.org/10.1109/wacv.2015.35","mag":"2074406744"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2015.35","doi":"https://doi.org/10.1109/wacv.2015.35","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2015.35","pdf_url":null,"source":{"id":"https://openalex.org/S4393918690","display_name":"IEEE Winter Conference on Applications of Computer Vision","issn_l":"2472-6737","issn":["2472-6737"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Winter Conference on Applications of Computer Vision","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5101998957","display_name":"Heng Zhang","orcid":"https://orcid.org/0000-0003-1864-5432","observed_orcids":["https://orcid.org/0000-0003-1864-5432"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heng Zhang","raw_affiliation_strings":["Center for Automation Research, University of Maryland, Collage Park","Center for Autom. Res., Univ. of Maryland, Collage Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Automation Research, University of Maryland, Collage Park","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Center for Autom. Res., Univ. of Maryland, Collage Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004716468","display_name":"Vishal M. Patel","orcid":"https://orcid.org/0000-0002-5239-692X","observed_orcids":["https://orcid.org/0000-0002-5239-692X"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vishal M. Patel","raw_affiliation_strings":["Center for Automation Research, University of Maryland, Collage Park","Center for Autom. Res., Univ. of Maryland, Collage Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Automation Research, University of Maryland, Collage Park","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Center for Autom. Res., Univ. of Maryland, Collage Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103470251","display_name":"Mohammed E. Fathy","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammed Fathy","raw_affiliation_strings":["Center for Automation Research, University of Maryland, Collage Park","Center for Autom. Res., Univ. of Maryland, Collage Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Automation Research, University of Maryland, Collage Park","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Center for Autom. Res., Univ. of Maryland, Collage Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102762707","display_name":"Rama Chellappa","orcid":"https://orcid.org/0000-0002-7638-1650","observed_orcids":["https://orcid.org/0000-0002-7638-1650"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rama Chellappa","raw_affiliation_strings":["Center for Automation Research, University of Maryland, Collage Park","Center for Autom. Res., Univ. of Maryland, Collage Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Automation Research, University of Maryland, Collage Park","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Center for Autom. Res., Univ. of Maryland, Collage Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":8.8932,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.98594042,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"207","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9976000189781189,"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":0.9976000189781189,"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/T10828","display_name":"Biometric Identification and Security","score":0.0013000000035390258,"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/T11504","display_name":"Advanced Authentication Protocols Security","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/touch-gesture-recognition","display_name":"touch gesture recognition","score":0.609000027179718},{"id":"https://openalex.org/keywords/sparse-representation","display_name":"sparse representation","score":0.6690000295639038},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"dictionary learning","score":0.8560000061988831},{"id":"https://openalex.org/keywords/mobile-devices","display_name":"mobile devices","score":0.6370000243186951},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"domain adaptation","score":0.6840000152587891}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.815876841545105},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7382668256759644},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5874354243278503},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5558164715766907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5271484851837158},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5250691771507263},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4639873504638672},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.4624974727630615},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4333905279636383},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.428457111120224},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4101966619491577},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36619213223457336},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3314269483089447},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.14466506242752075},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11671698093414307},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07983112335205078},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wacv.2015.35","doi":"https://doi.org/10.1109/wacv.2015.35","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2015.35","pdf_url":null,"source":{"id":"https://openalex.org/S4393918690","display_name":"IEEE Winter Conference on Applications of Computer Vision","issn_l":"2472-6737","issn":["2472-6737"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Winter Conference on Applications of Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.709.1888","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.709.1888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cfar.umd.edu/%7Emefathy/papers/2015-wacv-aa-sparse-touch.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1552919843","https://openalex.org/W1560724230","https://openalex.org/W1808256548","https://openalex.org/W1974216345","https://openalex.org/W2004465977","https://openalex.org/W2031342017","https://openalex.org/W2037840628","https://openalex.org/W2063978378","https://openalex.org/W2099278510","https://openalex.org/W2115549875","https://openalex.org/W2129812935","https://openalex.org/W2134383016","https://openalex.org/W2151854612","https://openalex.org/W2160547390","https://openalex.org/W2404603298","https://openalex.org/W2535614671","https://openalex.org/W3195149063"],"related_works":["https://openalex.org/W2562326761","https://openalex.org/W2895995881","https://openalex.org/W2954024431","https://openalex.org/W2218307818","https://openalex.org/W2407853602","https://openalex.org/W2743116291","https://openalex.org/W2771320017","https://openalex.org/W1432560774","https://openalex.org/W6908565249","https://openalex.org/W2340654679"],"abstract_inverted_index":{"Screen":[0],"touch":[1,33,64],"gesture":[2],"has":[3],"been":[4],"shown":[5],"to":[6,74,90,118],"be":[7],"a":[8,50,95,111],"promising":[9],"modality":[10],"for":[11,27,113],"touch-based":[12],"active":[13,28],"authentication":[14,30],"of":[15,17,123],"users":[16],"mobile":[18],"devices.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23],"present":[24],"an":[25],"approach":[26],"user":[29],"using":[31,49,82],"screen":[32,63],"gestures":[34],"by":[35,54],"building":[36],"linear":[37],"and":[38,45,102],"kernelized":[39],"dictionaries":[40],"based":[41],"on":[42],"sparse":[43],"representations":[44],"associated":[46],"classifiers.":[47,125],"Experiments":[48,80],"new":[51],"dataset":[52],"collected":[53,84],"us":[55],"as":[56,58],"well":[57],"two":[59],"other":[60],"publicly":[61],"available":[62],"datasets":[65],"show":[66,94],"that":[67],"the":[68,78,100,121,124],"dictionary-based":[69],"classification":[70],"method":[71],"compares":[72],"favorably":[73],"those":[75],"published":[76],"in":[77,85,97],"literature.":[79],"done":[81],"data":[83,104],"three":[86],"different":[87,91,107],"sessions":[88],"corresponding":[89],"environmental":[92],"conditions":[93],"drop":[96],"performance":[98,122],"when":[99],"training":[101],"test":[103],"come":[105],"from":[106],"sessions.":[108],"This":[109],"suggests":[110],"need":[112],"applying":[114],"domain":[115],"adaptation":[116],"methods":[117],"further":[119],"improve":[120]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":4}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
