{"id":"https://openalex.org/W2141561491","doi":"https://doi.org/10.1109/percomw.2014.6815159","title":"Personalised phone placement recognition in daily life using RFID tagging","display_name":"Personalised phone placement recognition in daily life using RFID tagging","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W2141561491","doi":"https://doi.org/10.1109/percomw.2014.6815159","mag":"2141561491"},"language":"en","primary_location":{"id":"doi:10.1109/percomw.2014.6815159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2014.6815159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS)","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/A5110244214","display_name":"Florian Wahl","orcid":null},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"F. Wahl","raw_affiliation_strings":["Chair of Sensor Technology, University of Passau, Germany","Sensor Technology, University of Passau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Sensor Technology, University of Passau, Germany","institution_ids":["https://openalex.org/I186354981"]},{"raw_affiliation_string":"Sensor Technology, University of Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064135418","display_name":"Oliver Amft","orcid":"https://orcid.org/0000-0001-6811-3659"},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"O. Amft","raw_affiliation_strings":["Chair of Sensor Technology, University of Passau, Germany","Sensor Technology, University of Passau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Sensor Technology, University of Passau, Germany","institution_ids":["https://openalex.org/I186354981"]},{"raw_affiliation_string":"Sensor Technology, University of Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6408,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89074262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"19","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9979000091552734,"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":0.9979000091552734,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/phone","display_name":"Phone","score":0.8651866912841797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8098229765892029},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6268108487129211},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.5694776773452759},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4539598524570465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3631262183189392},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3374525308609009},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32165682315826416},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07946494221687317}],"concepts":[{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.8651866912841797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8098229765892029},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6268108487129211},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.5694776773452759},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4539598524570465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3631262183189392},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3374525308609009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32165682315826416},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07946494221687317},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomw.2014.6815159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2014.6815159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"},{"id":"https://openalex.org/F4320334893","display_name":"Stichting voor de Technische Wetenschappen","ror":"https://ror.org/057tq3593"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W101014897","https://openalex.org/W1989234558","https://openalex.org/W1994267825","https://openalex.org/W1996426530","https://openalex.org/W2028705162","https://openalex.org/W2033541192","https://openalex.org/W2086954706","https://openalex.org/W2102905932","https://openalex.org/W2116894522","https://openalex.org/W2123459641","https://openalex.org/W2130480000","https://openalex.org/W2131147042","https://openalex.org/W2141253759","https://openalex.org/W2150338977","https://openalex.org/W2150383149","https://openalex.org/W2151056056","https://openalex.org/W3148244168","https://openalex.org/W4233748389","https://openalex.org/W4246794821","https://openalex.org/W4253935649","https://openalex.org/W6604009322","https://openalex.org/W6728374310"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W4380994516","https://openalex.org/W2061937230"],"abstract_inverted_index":{"We":[0,36,55],"investigate":[1],"the":[2,8,38,58,100,121,149],"recognition":[3,162],"of":[4,10,41,85,103,151,164],"phone":[5,34,53,75,86,96,143],"placement":[6,76,87,144],"in":[7,24],"vicinity":[9],"their":[11],"user":[12],"using":[13],"different":[14,52],"pattern":[15],"classification":[16,125],"strategies":[17],"and":[18,92,155],"phone-integrated":[19],"sensors.":[20],"The":[21],"novel":[22],"approach":[23,61,106,137],"our":[25,104,135],"work":[26],"is":[27,138],"to":[28,43,67,73,107,158],"use":[29,37],"RFID":[30],"tags":[31,46],"for":[32,140],"annotating":[33],"placement.":[35],"NFC":[39],"function":[40],"smartphones":[42],"continuously":[44],"read":[45],"during":[47],"training":[48,152],"data":[49],"acquisition":[50],"at":[51],"sites.":[54],"show":[56,112],"that":[57,113,134],"RFID-based":[59,105,114,136],"annotation":[60,101],"requires":[62],"minimal":[63],"effort":[64],"from":[65,89,130],"users":[66,72],"acquire":[68],"annotated":[69],"data,":[70,153],"enabling":[71],"personalise":[74],"recognition.":[77,145],"In":[78],"an":[79,160],"evaluation":[80],"study":[81],"with":[82],"39":[83],"hours":[84],"recordings":[88],"six":[90],"participants":[91],"four":[93],"frequently":[94],"used":[95],"sites,":[97],"we":[98,147],"compare":[99],"accuracy":[102],"expert-verified":[108,122],"annotations.":[109],"Our":[110],"results":[111],"annotations":[115],"perform":[116],"approx.":[117],"2":[118],"%":[119],"below":[120],"variant.":[123],"Personalised":[124],"models":[126,128],"outperform":[127],"trained":[129],"all":[131],"participants,":[132],"suggesting":[133],"viable":[139],"a":[141],"personalised":[142],"Sub-sequently,":[146],"analyse":[148],"amount":[150],"sensors,":[154],"features":[156],"required":[157],"achieve":[159],"average":[161],"rate":[163],"80":[165],"%.":[166]},"counts_by_year":[{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}