{"id":"https://openalex.org/W7214743804","doi":"https://doi.org/10.48550/arxiv.2609.31864","title":"AirLog: Store-Level Indoor Life Logging Made Easy","display_name":"AirLog: Store-Level Indoor Life Logging Made Easy","publication_year":2026,"publication_date":"2026-09-25","ids":{"openalex":"https://openalex.org/W7214743804","doi":"https://doi.org/10.48550/arxiv.2609.31864"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.31864","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.31864","pdf_url":"https://arxiv.org/pdf/2609.31864","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2609.31864","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112977904","display_name":"Zihui Yun","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun, Zihui","raw_affiliation_strings":["University of Georgia Athens , Georgia , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Georgia Athens , Georgia , USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014399759","display_name":"Jiaying Du","orcid":"https://orcid.org/0000-0002-4947-5037","observed_orcids":["https://orcid.org/0000-0002-4947-5037","https://orcid.org/0009-0004-8818-957X"]},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Du, Jiaying","raw_affiliation_strings":["University of Georgia Athens , Georgia , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Georgia Athens , Georgia , USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153541239","display_name":"Yue Yu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yu, Yue","raw_affiliation_strings":["University College London London , United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London London , United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153523091","display_name":"Zhewei Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Liu, Zhewei","raw_affiliation_strings":["University of Toronto Mississauga Mississauga , Ontario , Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto Mississauga Mississauga , Ontario , Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153420949","display_name":"Zhen Xiang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang, Zhen","raw_affiliation_strings":["University of Georgia Athens , Georgia , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Georgia Athens , Georgia , USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070325443","display_name":"Longfei Shangguan","orcid":"https://orcid.org/0000-0002-1153-7087","observed_orcids":["https://orcid.org/0000-0002-1153-7087"]},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shangguan, Longfei","raw_affiliation_strings":["University of Pittsburgh Pittsburgh , Pennsylvania , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pittsburgh Pittsburgh , Pennsylvania , USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5153444236","display_name":"Zhenlin An","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"An, Zhenlin","raw_affiliation_strings":["University of Georgia Athens , Georgia , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Georgia Athens , Georgia , USA","institution_ids":["https://openalex.org/I165733156"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9580000042915344,"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":0.9580000042915344,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.03310000151395798,"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/T11106","display_name":"Data Management and Algorithms","score":0.002199999988079071,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/semantic-anchors","display_name":"semantic anchors","score":0.6380000114440918},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.6840000152587891},{"id":"https://openalex.org/keywords/shopping-centers","display_name":"shopping centers","score":0.699999988079071},{"id":"https://openalex.org/keywords/indoor-positioning","display_name":"indoor positioning","score":0.37299999594688416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419000267982483},{"id":"https://openalex.org/C2777683733","wikidata":"https://www.wikidata.org/wiki/Q201456","display_name":"Directory","level":2,"score":0.5860000252723694},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5092999935150146},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.38449999690055847},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.3806000053882599},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.3765999972820282},{"id":"https://openalex.org/C136085584","wikidata":"https://www.wikidata.org/wiki/Q910289","display_name":"Overlay","level":2,"score":0.3668000102043152},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36660000681877136},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.35089999437332153},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3488999903202057},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3343999981880188},{"id":"https://openalex.org/C176168674","wikidata":"https://www.wikidata.org/wiki/Q763835","display_name":"Lifelog","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C2225880","wikidata":"https://www.wikidata.org/wiki/Q579047","display_name":"Journaling file system","level":3,"score":0.31850001215934753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31439998745918274},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30649998784065247},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.29159998893737793},{"id":"https://openalex.org/C3019020692","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Location tracking","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.27250000834465027},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.2685999870300293},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2558000087738037},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.25110000371932983}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.31864","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.31864","pdf_url":"https://arxiv.org/pdf/2609.31864","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.2609.31864","doi":"https://doi.org/10.48550/arxiv.2609.31864","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.31864","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.31864","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.31864","pdf_url":"https://arxiv.org/pdf/2609.31864","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G4921713444","display_name":"CCSS: FLASH: Drone Obstacle Avoidance with Event Cameras: Bio-Inspired Architecture, Algorithm, and Platform","funder_award_id":"2302724","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6153920818","display_name":"CAREER: Ubiquitous Earable Sensing Using Low-Cost Earphones","funder_award_id":"2337537","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7849582102","display_name":"Collaborative Research: Enhancing Managed Spectrum Sharing with FR3-Cognizant Digital Twins","funder_award_id":"2433914","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G9001307480","display_name":"Collaborative Research: VINES: Track 2: SCOPE-XR: Seeing the Channel: Optimizing Perception-aware Environments for XR","funder_award_id":"2554332","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214743804.pdf","grobid_xml":"https://content.openalex.org/works/W7214743804.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1981831056","https://openalex.org/W2054602086","https://openalex.org/W2166315077","https://openalex.org/W2479254933","https://openalex.org/W4220762975","https://openalex.org/W4304195432","https://openalex.org/W4392503389","https://openalex.org/W4393154152","https://openalex.org/W4399940351","https://openalex.org/W4400648811","https://openalex.org/W4402916969","https://openalex.org/W4407389852","https://openalex.org/W4407759365","https://openalex.org/W4409001351","https://openalex.org/W4410068021","https://openalex.org/W4413145317","https://openalex.org/W4413968594","https://openalex.org/W4415310681","https://openalex.org/W4416445868","https://openalex.org/W4417095222","https://openalex.org/W6910735377","https://openalex.org/W7117558807","https://openalex.org/W7138855241","https://openalex.org/W7155397894"],"related_works":["https://openalex.org/W1512527155","https://openalex.org/W2980469336","https://openalex.org/W89778959","https://openalex.org/W7100749108","https://openalex.org/W2795032370","https://openalex.org/W7097997900","https://openalex.org/W4402828205","https://openalex.org/W2741308468","https://openalex.org/W2325261190","https://openalex.org/W3014089335"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"AirLog,":[3],"a":[4,131,136],"smartphone-based":[5],"life":[6,94],"journaling":[7],"system":[8],"that":[9,142,164],"automatically":[10],"reconstructs":[11],"users'":[12,173],"store":[13],"visits":[14],"in":[15,49],"shopping":[16],"malls":[17],"and":[18,34,39,59,70,106,126,135,153,170],"summarizes":[19],"them":[20],"into":[21,67,87],"human-readable":[22],"journals.":[23],"Unlike":[24],"conventional":[25],"indoor":[26,60],"localization":[27,37],"systems,":[28],"AirLog":[29,63,122,143],"avoids":[30],"labor-intensive":[31],"radio-map":[32],"construction":[33],"dedicated":[35],"wireless":[36],"infrastructure":[38],"algorithm":[40],"calibrations.":[41],"Instead,":[42],"it":[43,128],"repurposes":[44],"two":[45],"cues":[46],"already":[47],"available":[48],"commercial":[50],"spaces:":[51],"semantic":[52,73,149],"information":[53],"exposed":[54],"by":[55,89],"ambient":[56],"Wi-Fi":[57,72],"SSIDs":[58],"directory":[61,65],"images.":[62],"converts":[64],"images":[66],"spatial":[68],"maps":[69],"fuses":[71],"anchors":[74],"with":[75],"inertial":[76],"dead":[77],"reckoning":[78],"to":[79,113,172],"recover":[80],"store-level":[81,93,146],"trajectories,":[82],"which":[83],"are":[84,168],"then":[85],"summarized":[86],"journals":[88,167],"an":[90],"LLM.":[91],"Such":[92],"logs":[95],"can":[96],"support":[97],"applications":[98],"such":[99],"as":[100],"personal":[101],"memory":[102],"recall,":[103],"activity":[104],"reflection,":[105],"automated":[107],"diary":[108],"generation":[109],"without":[110],"requiring":[111],"users":[112],"manually":[114],"record":[115],"where":[116],"they":[117],"have":[118],"been.":[119],"We":[120],"implement":[121],"on":[123,129],"commodity":[124],"smartphones":[125],"evaluate":[127],"both":[130],"large-scale":[132],"public":[133],"dataset":[134],"self-collected":[137],"dataset.":[138],"The":[139],"results":[140],"demonstrate":[141],"substantially":[144],"improves":[145],"region":[147],"recovery,":[148],"matching,":[150],"trajectory":[151],"reconstruction,":[152],"journal":[154],"quality":[155],"over":[156],"existing":[157],"baselines.":[158],"A":[159],"human":[160],"evaluation":[161],"further":[162],"shows":[163],"the":[165],"generated":[166],"coherent":[169],"faithful":[171],"visits.":[174]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-09-30T00:00:00"}