{"id":"https://openalex.org/W4405306379","doi":"https://doi.org/10.1109/ipin62893.2024.10786126","title":"Geometric Sound Profile: Multipath-Time-of-Flight Fingerprint for High-Accuracy Acoustic Localization","display_name":"Geometric Sound Profile: Multipath-Time-of-Flight Fingerprint for High-Accuracy Acoustic Localization","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405306379","doi":"https://doi.org/10.1109/ipin62893.2024.10786126"},"language":"en","primary_location":{"id":"doi:10.1109/ipin62893.2024.10786126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin62893.2024.10786126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 14th 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/A5015809583","display_name":"Yukiya Mita","orcid":"https://orcid.org/0009-0004-2330-4901"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yukiya Mita","raw_affiliation_strings":["The University of Tokyo,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102737863","display_name":"Hiroaki Murakami","orcid":"https://orcid.org/0000-0002-4691-7696"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroaki Murakami","raw_affiliation_strings":["The University of Tokyo,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027448650","display_name":"Takuya Sasatani","orcid":"https://orcid.org/0000-0003-2268-6106"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Sasatani","raw_affiliation_strings":["The University of Tokyo,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069381472","display_name":"Yoshihiro Kawahara","orcid":"https://orcid.org/0000-0002-0310-2577"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshihiro Kawahara","raw_affiliation_strings":["The University of Tokyo,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015809583"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":1.5363,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82711615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"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/T11698","display_name":"Underwater Acoustics Research","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9959999918937683,"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"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/fingerprint","display_name":"Fingerprint (computing)","score":0.7390974164009094},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.6321107149124146},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.597137451171875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5644692182540894},{"id":"https://openalex.org/keywords/sound","display_name":"Sound (geography)","score":0.4595031440258026},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.30631041526794434},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15318089723587036},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12402334809303284}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7390974164009094},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.6321107149124146},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.597137451171875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5644692182540894},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.4595031440258026},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30631041526794434},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15318089723587036},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12402334809303284},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipin62893.2024.10786126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin62893.2024.10786126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN)","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":13,"referenced_works":["https://openalex.org/W1595208394","https://openalex.org/W2008263014","https://openalex.org/W2079797201","https://openalex.org/W2165158100","https://openalex.org/W2462826356","https://openalex.org/W2521527722","https://openalex.org/W2763188033","https://openalex.org/W2898138808","https://openalex.org/W3015310491","https://openalex.org/W3213481482","https://openalex.org/W4312234380","https://openalex.org/W4366250292","https://openalex.org/W6716143540"],"related_works":["https://openalex.org/W2376969857","https://openalex.org/W2909726438","https://openalex.org/W614679600","https://openalex.org/W2110252992","https://openalex.org/W2067046791","https://openalex.org/W2365309764","https://openalex.org/W2025635845","https://openalex.org/W2909888262","https://openalex.org/W2185486561","https://openalex.org/W2162082378"],"abstract_inverted_index":{"High-accuracy":[0],"indoor":[1,28],"positioning":[2,29,80,165,177,197],"systems":[3],"provide":[4],"various":[5,27],"location-aware":[6],"applications,":[7],"enhancing":[8],"our":[9],"daily":[10],"experiences.":[11],"The":[12],"Global":[13],"Navigation":[14],"Satellite":[15],"System":[16],"is":[17],"difficult":[18],"to":[19,23,54],"use":[20,62],"indoors,":[21],"leading":[22],"the":[24,108,113,120,130,140,143,155,175,183,191,195,203,211],"development":[25],"of":[26,94,110,142],"methods.":[30],"Among":[31],"these,":[32],"acoustic":[33],"fingerprint-based":[34],"positioning,":[35],"which":[36],"utilizes":[37],"widely":[38],"available":[39],"speakers":[40],"and":[41,57,115,157,182,194,202],"microphones,":[42],"provides":[43],"robust":[44],"performance":[45],"in":[46,77,154,190,210],"Non-Line-of-Sight":[47],"(NLOS)":[48],"environments":[49],"that":[50,174],"are":[51],"common":[52],"due":[53],"structural":[55],"obstacles":[56],"furniture.":[58],"These":[59],"approaches":[60],"typically":[61],"Received":[63],"Signal":[64],"Strength":[65],"Indicator":[66],"or":[67],"Power":[68],"Spectral":[69],"Density":[70],"as":[71,107,124],"location":[72],"fingerprints":[73],"but":[74],"face":[75],"challenges":[76],"achieving":[78],"high":[79],"accuracy.":[81],"In":[82],"this":[83],"paper,":[84],"we":[85,133],"propose":[86],"Geometric":[87],"Sound":[88],"Profile":[89],"(GSP),":[90],"a":[91,102,125,135,150],"temporal":[92],"feature":[93,128],"complex":[95],"reflection":[96],"waves,":[97],"enabling":[98],"high-accuracy":[99],"localization":[100],"with":[101,160,166],"single":[103],"speaker.":[104],"GSP,":[105],"defined":[106],"envelope":[109],"cross-correlation":[111],"between":[112],"transmitted":[114],"received":[116],"signals,":[117],"starting":[118],"from":[119],"transmission":[121],"time,":[122],"serves":[123],"highly":[126],"informative":[127],"encapsulating":[129],"multipath-Time-of-Flight.":[131],"Additionally,":[132],"implement":[134],"Convolutional":[136],"Neural":[137],"Network":[138],"for":[139],"estimation":[141],"user\u2019s":[144],"position":[145],"using":[146],"GSP.":[147],"We":[148],"generated":[149],"high-resolution":[151],"pre-trained":[152],"model":[153],"simulation":[156],"fine-tuned":[158],"it":[159],"measurement":[161],"data,":[162],"allowing":[163],"accurate":[164],"minimal":[167],"measured":[168],"training":[169],"data.":[170],"Our":[171],"experiments":[172],"demonstrated":[173],"median":[176,196],"error":[178,186,198,206],"was":[179,187,199,207],"0.14":[180],"m":[181,189,201,209],"90th":[184,204],"percentile":[185,205],"1.23":[188],"Line-of-Sight":[192],"environment,":[193],"0.09":[200],"1.14":[208],"NLOS":[212],"environment.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}