{"id":"https://openalex.org/W2769288932","doi":"https://doi.org/10.1109/access.2017.2776098","title":"Who Used My Smart Object? A Flexible Approach for the Recognition of Users","display_name":"Who Used My Smart Object? A Flexible Approach for the Recognition of Users","publication_year":2017,"publication_date":"2017-11-21","ids":{"openalex":"https://openalex.org/W2769288932","doi":"https://doi.org/10.1109/access.2017.2776098","mag":"2769288932"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2776098","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2776098","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2776098","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103002433","display_name":"Hamdi Amroun","orcid":"https://orcid.org/0000-0003-2789-4182"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I4210115485","display_name":"Laboratoire d'Informatique pour la M\u00e9canique et les Sciences de l'Ing\u00e9nieur","ror":"https://ror.org/01raq4x89","country_code":"FR","type":"facility","lineage":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I4210115485","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hamdi Amroun","raw_affiliation_strings":["Laboratoire d\u2019Informatique pour la M\u00e9canique et les Sciences de l\u2019Ing\u00e9nieur, Centre National de la Recherche Scientifique, University of Paris-Sud, Orsay, France"],"raw_orcid":"https://orcid.org/0000-0003-2789-4182","affiliations":[{"raw_affiliation_string":"Laboratoire d\u2019Informatique pour la M\u00e9canique et les Sciences de l\u2019Ing\u00e9nieur, Centre National de la Recherche Scientifique, University of Paris-Sud, Orsay, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I4210115485"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109248181","display_name":"Mehdi Ammi","orcid":null},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I4210115485","display_name":"Laboratoire d'Informatique pour la M\u00e9canique et les Sciences de l'Ing\u00e9nieur","ror":"https://ror.org/01raq4x89","country_code":"FR","type":"facility","lineage":["https://openalex.org/I102197404","https://openalex.org/I1294671590","https://openalex.org/I4210115485","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mehdi Ammi","raw_affiliation_strings":["Laboratoire d\u2019Informatique pour la M\u00e9canique et les Sciences de l\u2019Ing\u00e9nieur, Centre National de la Recherche Scientifique, University of Paris-Sud, Orsay, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire d\u2019Informatique pour la M\u00e9canique et les Sciences de l\u2019Ing\u00e9nieur, Centre National de la Recherche Scientifique, University of Paris-Sud, Orsay, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I4210115485"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.9003,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.9038853,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"7112","last_page":"7122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9994999766349792,"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":0.9994999766349792,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973000288009644,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9958999752998352,"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":0.7823178768157959},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6593948602676392},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6297546029090881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5740970373153687},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5380781292915344},{"id":"https://openalex.org/keywords/home-automation","display_name":"Home automation","score":0.49891042709350586},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46828693151474},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.46801766753196716},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4529120922088623},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.4332354962825775},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.42927467823028564},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42506304383277893},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.419376939535141},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4134621322154999},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3881377875804901},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35710036754608154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7823178768157959},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6593948602676392},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6297546029090881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5740970373153687},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5380781292915344},{"id":"https://openalex.org/C507571656","wikidata":"https://www.wikidata.org/wiki/Q848436","display_name":"Home automation","level":2,"score":0.49891042709350586},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46828693151474},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.46801766753196716},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4529120922088623},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.4332354962825775},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.42927467823028564},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42506304383277893},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.419376939535141},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4134621322154999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3881377875804901},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35710036754608154},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2776098","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2776098","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c82f238684964242a8db5db8ce8dd8cb","is_oa":true,"landing_page_url":"https://doaj.org/article/c82f238684964242a8db5db8ce8dd8cb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 7112-7122 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2776098","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2776098","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1527911497","https://openalex.org/W1551432711","https://openalex.org/W1551782597","https://openalex.org/W1593040460","https://openalex.org/W1604169324","https://openalex.org/W1642437656","https://openalex.org/W1665214252","https://openalex.org/W1979164700","https://openalex.org/W1979519462","https://openalex.org/W2002261403","https://openalex.org/W2007483976","https://openalex.org/W2011841232","https://openalex.org/W2031067224","https://openalex.org/W2058266664","https://openalex.org/W2064376060","https://openalex.org/W2085662862","https://openalex.org/W2100495367","https://openalex.org/W2102932275","https://openalex.org/W2103334803","https://openalex.org/W2105046342","https://openalex.org/W2105103777","https://openalex.org/W2111619626","https://openalex.org/W2135018291","https://openalex.org/W2141350904","https://openalex.org/W2149216032","https://openalex.org/W2151854612","https://openalex.org/W2160815625","https://openalex.org/W2165689165","https://openalex.org/W2218442486","https://openalex.org/W2247209766","https://openalex.org/W2273943897","https://openalex.org/W2293480925","https://openalex.org/W2294170611","https://openalex.org/W2295647538","https://openalex.org/W2404603298","https://openalex.org/W2417142196","https://openalex.org/W2434634753","https://openalex.org/W2476501661","https://openalex.org/W2486340537","https://openalex.org/W2519670346","https://openalex.org/W2521425361","https://openalex.org/W2534178595","https://openalex.org/W2540822603","https://openalex.org/W2544426316","https://openalex.org/W2551239383","https://openalex.org/W2577415454","https://openalex.org/W2584117724","https://openalex.org/W6636831236","https://openalex.org/W6637242042","https://openalex.org/W6675245884","https://openalex.org/W6680718840","https://openalex.org/W6682035786","https://openalex.org/W6684590134","https://openalex.org/W6697167593","https://openalex.org/W6697491314","https://openalex.org/W6713486973","https://openalex.org/W6728817311"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W2186390138","https://openalex.org/W1993363272","https://openalex.org/W2060035984","https://openalex.org/W2790129917","https://openalex.org/W2980701909","https://openalex.org/W3003171896","https://openalex.org/W2059102265","https://openalex.org/W2474529778"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,43],"the":[4,7,22,56,81,87,96,131],"authentication":[5],"of":[6,9,24,27,98,101,150],"user":[8],"a":[10,15,44,116,158],"connected":[11,29],"object.":[12],"We":[13],"propose":[14],"flexible":[16],"and":[17,34,76,107],"nonintrusive":[18],"method":[19],"based":[20,94],"on":[21,61,95],"use":[23],"two":[25],"categories":[26],"everyday":[28],"objects":[30],"(i.e.,":[31],"smart":[32,45],"watch":[33],"remote":[35],"control).":[36],"Data":[37],"were":[38,78],"collected":[39],"during":[40],"participants'":[41],"interactions":[42],"TV.":[46],"The":[47,90,133,148],"discrete":[48],"cosine":[49],"transform":[50],"algorithm":[51],"was":[52,92,119],"used":[53],"to":[54,80,85,129,140,145],"extract":[55],"most":[57],"informative":[58],"features.":[59],"Based":[60],"these":[62],"features,":[63],"four":[64,99,112],"classification":[65,91,118],"algorithms":[66],"(deep":[67],"neural":[68],"network,":[69],"support":[70],"vector":[71],"machine,":[72],"Na\u00efve":[73],"Bayes":[74],"classifier,":[75],"C45)":[77],"applied":[79],"data":[82,123],"in":[83,127],"order":[84,128],"detect":[86],"user's":[88],"identity.":[89],"performed":[93],"recognition":[97,151],"types":[100],"human":[102],"activities":[103],"(sitting,":[104],"standing,":[105],"walking,":[106],"lying":[108],"down)":[109],"through":[110],"building":[111],"databases.":[113],"Following":[114],"this,":[115],"second":[117],"made":[120],"for":[121,154],"each":[122],"set":[124],"activity":[125,160],"type":[126],"identify":[130],"users.":[132],"results":[134],"show":[135],"that":[136],"it":[137],"is":[138],"possible":[139],"discriminate":[141],"between":[142],"users":[143],"according":[144],"their":[146],"activities.":[147],"accuracy":[149],"reached":[152],"91%":[153],"some":[155],"participants":[156],"within":[157],"certain":[159],"configuration.":[161]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}