{"id":"https://openalex.org/W4415624747","doi":"https://doi.org/10.1109/ipin66788.2025.11213024","title":"Diffusion-Driven Inertial Generated Data for Smartphone Location Classification","display_name":"Diffusion-Driven Inertial Generated Data for Smartphone Location Classification","publication_year":2025,"publication_date":"2025-09-15","ids":{"openalex":"https://openalex.org/W4415624747","doi":"https://doi.org/10.1109/ipin66788.2025.11213024"},"language":null,"primary_location":{"id":"doi:10.1109/ipin66788.2025.11213024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin66788.2025.11213024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","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/A5039496867","display_name":"Noa Cohen","orcid":"https://orcid.org/0000-0002-4638-5407"},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Noa Cohen","raw_affiliation_strings":["University of Haifa,The Hatter Department of Marine Technologies,Israel"],"affiliations":[{"raw_affiliation_string":"University of Haifa,The Hatter Department of Marine Technologies,Israel","institution_ids":["https://openalex.org/I91203450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089112142","display_name":"Rotem Dror","orcid":null},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Rotem Dror","raw_affiliation_strings":["University of Haifa,The Department of Information Systems,Israel"],"affiliations":[{"raw_affiliation_string":"University of Haifa,The Department of Information Systems,Israel","institution_ids":["https://openalex.org/I91203450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012718881","display_name":"Itzik Klein","orcid":"https://orcid.org/0000-0001-7846-0654"},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Itzik Klein","raw_affiliation_strings":["University of Haifa,The Hatter Department of Marine Technologies,Israel"],"affiliations":[{"raw_affiliation_string":"University of Haifa,The Hatter Department of Marine Technologies,Israel","institution_ids":["https://openalex.org/I91203450"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039496867"],"corresponding_institution_ids":["https://openalex.org/I91203450"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30171247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.43380001187324524,"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":0.43380001187324524,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.09290000051259995,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12290","display_name":"Human Motion and Animation","score":0.039500001817941666,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/generative-grammar","display_name":"Generative grammar","score":0.6401000022888184},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.47099998593330383},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.44190001487731934},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4415999948978424},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.4408999979496002},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.42890000343322754},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.3993000090122223},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.3968000113964081}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6872000098228455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6414999961853027},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6401000022888184},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4851999878883362},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.47099998593330383},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.44190001487731934},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4415999948978424},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.4408999979496002},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.42890000343322754},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3993000090122223},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.3968000113964081},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.3707999885082245},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.3215000033378601},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2994999885559082},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.29809999465942383},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.2913999855518341},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C2988186277","wikidata":"https://www.wikidata.org/wiki/Q5915793","display_name":"Location data","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipin66788.2025.11213024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin66788.2025.11213024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323387","display_name":"University of Haifa","ror":"https://ror.org/02f009v59"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2192417683","https://openalex.org/W2270470215","https://openalex.org/W2342792048","https://openalex.org/W2495920728","https://openalex.org/W2553915786","https://openalex.org/W2557998141","https://openalex.org/W2562522049","https://openalex.org/W2795342689","https://openalex.org/W2962994355","https://openalex.org/W2964029185","https://openalex.org/W2998167789","https://openalex.org/W3047749420","https://openalex.org/W3156725333","https://openalex.org/W3164845984","https://openalex.org/W3166112397","https://openalex.org/W3200144996","https://openalex.org/W4312933868","https://openalex.org/W4360884927","https://openalex.org/W4382053233","https://openalex.org/W4387195417","https://openalex.org/W4401443416","https://openalex.org/W4406634687"],"related_works":[],"abstract_inverted_index":{"Despite":[0],"the":[1,13,25,50,110,132],"crucial":[2],"role":[3],"of":[4,18,27,46,52,113,134],"inertial":[5,21],"measurements":[6],"in":[7,32],"motion":[8],"tracking":[9],"and":[10,15,62,91],"navigation":[11],"systems,":[12],"time-consuming":[14],"resource-intensive":[16],"nature":[17],"collecting":[19],"extensive":[20,135],"data":[22,54,77,96,136,142],"has":[23],"hindered":[24],"development":[26],"robust":[28],"machine":[29,144],"learning":[30,145],"models":[31,39,57],"this":[33,70],"field.":[34],"In":[35,69],"recent":[36],"years,":[37],"diffusion":[38],"have":[40],"emerged":[41],"as":[42],"a":[43,84],"revolutionary":[44],"class":[45],"generative":[47,59,106],"models,":[48],"reshaping":[49],"landscape":[51],"artificial":[53],"generation.":[55],"These":[56],"surpass":[58],"adversarial":[60],"networks":[61],"other":[63],"state-of-the-art":[64],"approaches":[65],"to":[66],"complex":[67],"tasks.":[68],"work,":[71],"we":[72,129],"propose":[73],"diffusion-driven":[74],"specific":[75,94,114],"force-generated":[76],"for":[78,143],"smartphone":[79,119],"location":[80],"recognition.":[81],"We":[82],"provide":[83],"comprehensive":[85],"evaluation":[86],"methodology":[87],"by":[88,123],"comparing":[89],"synthetic":[90,127],"real":[92],"recorded":[93],"force":[95,115],"across":[97,117],"multiple":[98],"metrics.":[99],"Our":[100],"results":[101],"demonstrate":[102],"that":[103],"our":[104],"diffusion-based":[105],"model":[107],"successfully":[108],"captures":[109],"distinctive":[111],"characteristics":[112],"signals":[116],"different":[118],"placement":[120],"conditions.":[121],"Thus,":[122],"creating":[124],"diverse,":[125],"realistic":[126],"data,":[128],"can":[130],"reduce":[131],"burden":[133],"collection":[137],"while":[138],"providing":[139],"high-quality":[140],"training":[141],"models.":[146]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-28T00:00:00"}