{"id":"https://openalex.org/W2924396208","doi":"https://doi.org/10.1109/tbiom.2019.2905868","title":"You Are Not Acting Like Yourself: A Study on Soft Biometric Classification, Person Identification, and Mobile Device Use","display_name":"You Are Not Acting Like Yourself: A Study on Soft Biometric Classification, Person Identification, and Mobile Device Use","publication_year":2019,"publication_date":"2019-03-19","ids":{"openalex":"https://openalex.org/W2924396208","doi":"https://doi.org/10.1109/tbiom.2019.2905868","mag":"2924396208"},"language":"en","primary_location":{"id":"doi:10.1109/tbiom.2019.2905868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2019.2905868","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biometrics, Behavior, and Identity Science","raw_type":"journal-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/A5051747380","display_name":"Tempestt Neal","orcid":"https://orcid.org/0000-0002-6807-6277"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tempestt J. Neal","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA"],"raw_orcid":"https://orcid.org/0000-0002-6807-6277","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055751228","display_name":"Damon L. Woodard","orcid":"https://orcid.org/0000-0002-0471-177X"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Damon L. Woodard","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA"],"raw_orcid":"https://orcid.org/0000-0002-0471-177X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5847,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95088828,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"1","issue":"2","first_page":"109","last_page":"122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9987999796867371,"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":0.9987999796867371,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/biometrics","display_name":"Biometrics","score":0.9067246913909912},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6730932593345642},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6163650155067444},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.598577082157135},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5562496185302734},{"id":"https://openalex.org/keywords/predictability","display_name":"Predictability","score":0.5272951126098633},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.522036075592041},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5001509189605713},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45024654269218445},{"id":"https://openalex.org/keywords/biometric-data","display_name":"Biometric data","score":0.41835644841194153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4094509184360504},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40499526262283325},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3737555146217346},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21665599942207336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1714646816253662},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1274142861366272}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.9067246913909912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6730932593345642},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6163650155067444},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.598577082157135},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5562496185302734},{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.5272951126098633},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.522036075592041},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5001509189605713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45024654269218445},{"id":"https://openalex.org/C2989513435","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometric data","level":3,"score":0.41835644841194153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4094509184360504},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40499526262283325},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3737555146217346},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21665599942207336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1714646816253662},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1274142861366272},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbiom.2019.2905868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbiom.2019.2905868","pdf_url":null,"source":{"id":"https://openalex.org/S4210209367","display_name":"IEEE Transactions on Biometrics Behavior and Identity Science","issn_l":"2637-6407","issn":["2637-6407"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biometrics, Behavior, and Identity Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W297909767","https://openalex.org/W341756596","https://openalex.org/W1533303231","https://openalex.org/W1545140005","https://openalex.org/W1680400516","https://openalex.org/W1724737952","https://openalex.org/W1961640596","https://openalex.org/W1980235022","https://openalex.org/W2031991334","https://openalex.org/W2039031286","https://openalex.org/W2065130322","https://openalex.org/W2071051349","https://openalex.org/W2072313242","https://openalex.org/W2095174648","https://openalex.org/W2125860240","https://openalex.org/W2133719507","https://openalex.org/W2168696847","https://openalex.org/W2182753015","https://openalex.org/W2187873140","https://openalex.org/W2213463004","https://openalex.org/W2535301535","https://openalex.org/W2549705167","https://openalex.org/W2555047368","https://openalex.org/W2613601501","https://openalex.org/W2732724904","https://openalex.org/W2744274567","https://openalex.org/W2769481484","https://openalex.org/W2775624196","https://openalex.org/W2785413798","https://openalex.org/W2785481823","https://openalex.org/W2790857952","https://openalex.org/W2896364909","https://openalex.org/W2942003025","https://openalex.org/W2963953172","https://openalex.org/W3101321406","https://openalex.org/W6631923913","https://openalex.org/W6687106670","https://openalex.org/W6730049742","https://openalex.org/W6755235304","https://openalex.org/W6762218127"],"related_works":["https://openalex.org/W2118112569","https://openalex.org/W1527837723","https://openalex.org/W2353749315","https://openalex.org/W2961085424","https://openalex.org/W2387050458","https://openalex.org/W2374609938","https://openalex.org/W2742579587","https://openalex.org/W4253851793","https://openalex.org/W2546910804","https://openalex.org/W66966790"],"abstract_inverted_index":{"In":[0],"this":[1,27],"paper,":[2],"we":[3],"explore":[4],"the":[5,24,36,47,53,112,116,119,135],"soft":[6,64,128],"biometric":[7,65,113,129],"classification":[8,66],"of":[9,26,49,55,89,106,111,118,134],"13":[10],"demographic":[11],"and":[12,82,121],"behavioral":[13],"attributes":[14,57],"using":[15,103],"phone":[16],"data":[17],"collected":[18],"from":[19],"46":[20],"subjects.":[21],"We":[22,99],"utilize":[23],"results":[25],"analysis":[28],"to":[29,59,71],"further":[30],"evaluate":[31],"reduced":[32,96],"search":[33,97],"spaces":[34],"for":[35],"primary":[37],"identification":[38],"task":[39],"by":[40],"implementing":[41],"a":[42,104],"ranking":[43],"formula":[44],"which":[45],"quantifies":[46],"performance":[48],"each":[50],"attribute":[51],"considering":[52],"predictability":[54],"some":[56],"compared":[58],"others.":[60],"Results":[61],"show":[62],"that":[63],"is":[67],"feasible":[68],"with":[69,95],"up":[70],"90%":[72],"accuracy;":[73],"however,":[74],"because":[75],"people":[76],"exhibit":[77],"high":[78],"intra-class":[79],"variance,":[80],"templates":[81],"queries":[83],"are":[84],"significantly":[85],"affected":[86],"in":[87,126],"terms":[88],"how":[90,123],"well":[91],"they":[92],"match,":[93],"even":[94],"spaces.":[98],"analyze":[100],"these":[101],"findings":[102],"combination":[105],"approaches,":[107],"including":[108],"an":[109],"evaluation":[110],"menagerie,":[114],"visualizing":[115],"distribution":[117],"data,":[120],"observing":[122],"subjects":[124],"vary":[125],"their":[127],"class":[130],"across":[131],"different":[132],"times":[133],"day.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}