{"id":"https://openalex.org/W2784270464","doi":"https://doi.org/10.1109/uemcon.2017.8249001","title":"Mobile sensor-based biometrics using common daily activities","display_name":"Mobile sensor-based biometrics using common daily activities","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2784270464","doi":"https://doi.org/10.1109/uemcon.2017.8249001","mag":"2784270464"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon.2017.8249001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2017.8249001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","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/A5049552746","display_name":"Kenichi Yoneda","orcid":null},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kenichi Yoneda","raw_affiliation_strings":["Department of Computer and Information Science, Fordham Universit, Bronx, NY"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Fordham Universit, Bronx, NY","institution_ids":["https://openalex.org/I164389053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073269476","display_name":"Gary M. Weiss","orcid":"https://orcid.org/0000-0001-5009-7101"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gary M. Weiss","raw_affiliation_strings":["Department of Computer and Information Science, Fordham Universit, Bronx, NY"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Fordham Universit, Bronx, NY","institution_ids":["https://openalex.org/I164389053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049552746"],"corresponding_institution_ids":["https://openalex.org/I164389053"],"apc_list":null,"apc_paid":null,"fwci":0.8192,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.82911821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"584","last_page":"590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9976999759674072,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9976999759674072,"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/T11800","display_name":"User Authentication and Security Systems","score":0.9970999956130981,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.9279637336730957},{"id":"https://openalex.org/keywords/smartwatch","display_name":"Smartwatch","score":0.9161982536315918},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.7703792452812195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7134497165679932},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.568425178527832},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5534201860427856},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.525928795337677},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.503818929195404},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.500558614730835},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.48153287172317505},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.32117903232574463},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.31838828325271606},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.29745301604270935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2558552026748657},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1691550612449646},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12101075053215027}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.9279637336730957},{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.9161982536315918},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.7703792452812195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7134497165679932},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.568425178527832},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5534201860427856},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.525928795337677},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.503818929195404},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.500558614730835},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.48153287172317505},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.32117903232574463},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.31838828325271606},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.29745301604270935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2558552026748657},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1691550612449646},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12101075053215027},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/uemcon.2017.8249001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2017.8249001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","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":19,"referenced_works":["https://openalex.org/W1964814818","https://openalex.org/W2018157642","https://openalex.org/W2050836560","https://openalex.org/W2070381776","https://openalex.org/W2095038611","https://openalex.org/W2101234009","https://openalex.org/W2201408361","https://openalex.org/W2225611246","https://openalex.org/W2342865424","https://openalex.org/W2522330969","https://openalex.org/W2526801412","https://openalex.org/W2561894372","https://openalex.org/W2613114918","https://openalex.org/W2889871363","https://openalex.org/W4251142838","https://openalex.org/W6673897560","https://openalex.org/W6675354045","https://openalex.org/W6689125509","https://openalex.org/W6754101896"],"related_works":["https://openalex.org/W2356006086","https://openalex.org/W2545168295","https://openalex.org/W2365897603","https://openalex.org/W4234814094","https://openalex.org/W2156308897","https://openalex.org/W4303613760","https://openalex.org/W2361871310","https://openalex.org/W2417246878","https://openalex.org/W1982154684","https://openalex.org/W2404620998"],"abstract_inverted_index":{"Research":[0],"on":[1],"mobile":[2,7,56,86],"sensor":[3,67],"biometrics":[4,57,134],"increased":[5],"when":[6,114],"devices":[8],"with":[9,24,91],"powerful":[10],"sensors,":[11],"such":[12],"as":[13],"smartphones,":[14],"became":[15],"ubiquitous.":[16],"However,":[17],"existing":[18],"studies":[19,40],"are":[20,31,83,89,99],"quite":[21],"limited,":[22],"especially":[23],"regard":[25],"to":[26,33,58,93,101],"the":[27,35,51,130],"physical":[28,63],"activities":[29,64,119],"that":[30],"used":[32],"provide":[34,50],"biometric":[36,71,87],"signature":[37],"-":[38],"many":[39],"only":[41,136],"consider":[42],"a":[43,79,125,137],"single":[44],"activity.":[45],"In":[46],"this":[47],"study,":[48],"we":[49],"most":[52],"comprehensive":[53],"analysis":[54],"of":[55,132],"date.":[59],"We":[60],"evaluate":[61],"eighteen":[62,118],"and":[65,75,81,95,98,139],"nine":[66],"combinations":[68],"for":[69],"their":[70],"efficacy":[72],"(the":[73],"accelerometer":[74],"gyroscope":[76],"sensors":[77],"from":[78,116],"smartphone":[80],"smartwatch":[82,138],"used).":[84],"Our":[85],"models":[88,110],"evaluated":[90],"respect":[92],"identification":[94],"authentication":[96],"performance":[97],"shown":[100],"achieve":[102],"excellent":[103],"results":[104],"in":[105],"both":[106],"cases.":[107],"Furthermore,":[108],"our":[109],"perform":[111],"well":[112],"even":[113],"built":[115],"all":[117],"without":[120],"activity":[121],"labels,":[122],"which":[123],"represents":[124],"big":[126],"step":[127],"towards":[128],"achieving":[129],"goal":[131],"continuous":[133],"using":[135],"smartphone.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
