{"id":"https://openalex.org/W2467547022","doi":"https://doi.org/10.1145/2935651.2935657","title":"A Trained-once Crowd Counting Method Using Differential WiFi Channel State Information","display_name":"A Trained-once Crowd Counting Method Using Differential WiFi Channel State Information","publication_year":2016,"publication_date":"2016-06-26","ids":{"openalex":"https://openalex.org/W2467547022","doi":"https://doi.org/10.1145/2935651.2935657","mag":"2467547022"},"language":"en","primary_location":{"id":"doi:10.1145/2935651.2935657","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2935651.2935657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International on Workshop on Physical Analytics","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/A5017075055","display_name":"Simone Di Domenico","orcid":"https://orcid.org/0000-0002-4002-9970"},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Simone Di Domenico","raw_affiliation_strings":["University of Roma Tor Vergata, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"University of Roma Tor Vergata, Rome, Italy","institution_ids":["https://openalex.org/I116067653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048996319","display_name":"Mauro De Sanctis","orcid":"https://orcid.org/0000-0002-5712-1204"},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mauro De Sanctis","raw_affiliation_strings":["University of Roma Tor Vergata, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"University of Roma Tor Vergata, Rome, Italy","institution_ids":["https://openalex.org/I116067653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055406591","display_name":"Ernestina Cianca","orcid":"https://orcid.org/0000-0002-0337-8354"},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ernestina Cianca","raw_affiliation_strings":["University of Roma Tor Vergata, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"University of Roma Tor Vergata, Rome, Italy","institution_ids":["https://openalex.org/I116067653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007176500","display_name":"Giuseppe Bianchi","orcid":"https://orcid.org/0000-0001-7277-7423"},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Bianchi","raw_affiliation_strings":["University of Roma Tor Vergata, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"University of Roma Tor Vergata, Rome, Italy","institution_ids":["https://openalex.org/I116067653"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017075055"],"corresponding_institution_ids":["https://openalex.org/I116067653"],"apc_list":null,"apc_paid":null,"fwci":5.5129,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.96195305,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9973000288009644,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9926999807357788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7593177556991577},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.7338523268699646},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.6689220666885376},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6188863515853882},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5507288575172424},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5290316939353943},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5210465788841248},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4859398603439331},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4526486396789551},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4293041229248047},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.42234617471694946},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3681878447532654},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3382115960121155},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2476048767566681},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1794443130493164},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16186442971229553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7593177556991577},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.7338523268699646},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.6689220666885376},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6188863515853882},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5507288575172424},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5290316939353943},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5210465788841248},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4859398603439331},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4526486396789551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4293041229248047},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.42234617471694946},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3681878447532654},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3382115960121155},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2476048767566681},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1794443130493164},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16186442971229553},{"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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2935651.2935657","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2935651.2935657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International on Workshop on Physical Analytics","raw_type":"proceedings-article"},{"id":"pmh:oai:art.torvergata.it:2108/450066","is_oa":false,"landing_page_url":"https://hdl.handle.net/2108/450066","pdf_url":null,"source":{"id":"https://openalex.org/S4306400993","display_name":"Cineca Institutional Research Information System (Tor Vergata University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I116067653","host_organization_name":"University of Rome Tor Vergata","host_organization_lineage":["https://openalex.org/I116067653"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6800000071525574,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1975282432","https://openalex.org/W1989115430","https://openalex.org/W1989988490","https://openalex.org/W2039506494","https://openalex.org/W2071118663","https://openalex.org/W2089695767","https://openalex.org/W2108611194","https://openalex.org/W2264245550","https://openalex.org/W6647424617"],"related_works":["https://openalex.org/W2364252372","https://openalex.org/W4234066492","https://openalex.org/W4388311650","https://openalex.org/W5922282","https://openalex.org/W2954004777","https://openalex.org/W4321237755","https://openalex.org/W2351788959","https://openalex.org/W2226630547","https://openalex.org/W4248272417","https://openalex.org/W4250457231"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3],"the":[4,12,43,58,62,70,89,123,131,134,140,143,151,158,176],"problem":[5],"of":[6,11,14,80,115,130,133,142],"providing":[7],"a":[8,17,29,107,113,154],"rough":[9],"count":[10],"number":[13],"people":[15,172],"in":[16,153,160,175],"room":[18],"using":[19],"passive":[20],"WiFi":[21],"Channel":[22],"State":[23],"Information":[24],"(CSI)":[25],"measurements":[26],"taken":[27],"by":[28,110,121,146],"single":[30],"commodity":[31],"receiver.":[32],"The":[33],"feature":[34,118],"which":[35,50,75,96],"mainly":[36],"distinguishes":[37],"our":[38],"work":[39],"from":[40,69],"others":[41],"is":[42,64],"attempt":[44],"to":[45,84,88,94],"emerge":[46],"with":[47,178],"an":[48],"approach":[49,145],"does":[51],"not":[52],"require":[53],"any":[54],"dedicated":[55],"training":[56,147],"inside":[57],"specific":[59],"environment":[60,91],"where":[61],"system":[63,152,159],"deployed.":[65],"Our":[66],"proposal":[67],"stems":[68],"intuitive":[71],"observation":[72],"that":[73],"features":[74,95],"account":[76,97],"for":[77,98,149],"em":[78,162],"variations":[79],"CSI":[81,100,117],"are":[82],"expected":[83],"be":[85],"less":[86],"sensitive":[87],"surrounding":[90],"as":[92],"opposed":[93],"absolute":[99],"measurements.":[101],"We":[102,137],"turn":[103],"such":[104],"intuition":[105],"into":[106],"concrete":[108],"proposal,":[109],"suitably":[111],"identifying":[112],"set":[114],"differential":[116],"candidates,":[119],"and":[120,156,168,170],"selecting":[122],"(two)":[124],"most":[125],"effective":[126],"ones":[127],"via":[128],"minimization":[129],"summation":[132],"Davies-Bouldin":[135],"indexes.":[136],"preliminary":[138],"assess":[139],"effectiveness":[141],"proposed":[144],"once":[148],"all":[150],"room,":[155],"testing":[157],"two":[161],"different":[163,166],"rooms":[164,177],"having":[165],"size":[167],"furniture,":[169],"involving":[171],"freely":[173],"moving":[174],"no":[179],"a-priori":[180],"movement":[181],"constraints.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}