{"id":"https://openalex.org/W4412493593","doi":"https://doi.org/10.1109/mdm65600.2025.00059","title":"User Locale and Intent Prediction Using Sensors from Smartphone","display_name":"User Locale and Intent Prediction Using Sensors from Smartphone","publication_year":2025,"publication_date":"2025-06-02","ids":{"openalex":"https://openalex.org/W4412493593","doi":"https://doi.org/10.1109/mdm65600.2025.00059"},"language":"en","primary_location":{"id":"doi:10.1109/mdm65600.2025.00059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mdm65600.2025.00059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 26th IEEE International Conference on Mobile Data Management (MDM)","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":null,"display_name":"Akash Sahoo","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akash Sahoo","raw_affiliation_strings":["Texas A&M University,Department of Computer Science and Engineering,College Station,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University,Department of Computer Science and Engineering,College Station,USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sanjay Nayak","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjay Nayak","raw_affiliation_strings":["Texas A&M University,Department of Computer Science and Engineering,College Station,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University,Department of Computer Science and Engineering,College Station,USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103702897","display_name":"Rabi Mahapatra","orcid":"https://orcid.org/0000-0003-1702-8045"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rabi Mahapatra","raw_affiliation_strings":["Texas A&M University,Department of Computer Science and Engineering,College Station,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University,Department of Computer Science and Engineering,College Station,USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16903358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"270","last_page":"270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9894000291824341,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9894000291824341,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12238","display_name":"Green IT and Sustainability","score":0.9075999855995178,"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/locale","display_name":"Locale (computer software)","score":0.816078782081604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7253777980804443},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3587566614151001},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.15057361125946045}],"concepts":[{"id":"https://openalex.org/C2776049293","wikidata":"https://www.wikidata.org/wiki/Q1202471","display_name":"Locale (computer software)","level":2,"score":0.816078782081604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7253777980804443},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3587566614151001},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.15057361125946045}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mdm65600.2025.00059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mdm65600.2025.00059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 26th IEEE International Conference on Mobile Data Management (MDM)","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":11,"referenced_works":["https://openalex.org/W2003792585","https://openalex.org/W2100206642","https://openalex.org/W2114868488","https://openalex.org/W2127127580","https://openalex.org/W2334294332","https://openalex.org/W2804739511","https://openalex.org/W2904333148","https://openalex.org/W3000715804","https://openalex.org/W3015831529","https://openalex.org/W3046350636","https://openalex.org/W4213342386"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2513537408","https://openalex.org/W2909147279","https://openalex.org/W2385640595","https://openalex.org/W2872705807","https://openalex.org/W3191364271","https://openalex.org/W2347989179","https://openalex.org/W2352979235"],"abstract_inverted_index":{"Smartphone":[0],"data":[1,17,58,77,164,214],"is":[2,193],"becoming":[3,194],"increasingly":[4,195],"important":[5],"today":[6],"as":[7],"many":[8],"people":[9],"own":[10],"and":[11,45,49,63,74,88,100,103,117,144,150,165,172,186,198],"frequently":[12],"use":[13,36],"smartphones.":[14],"The":[15,119],"smartphone-based":[16,161],"can":[18,35,78,222],"provide":[19],"better":[20,201],"insight":[21],"into":[22],"the":[23,60,66,86,129,158,176,209],"user's":[24],"behavior":[25,39],"by":[26],"providing":[27],"knowledge":[28],"related":[29],"to":[30,56,205,215],"their":[31,101],"daily":[32],"activities.":[33,50],"We":[34,51],"it":[37],"in":[38,225],"or":[40],"intent":[41],"prediction,":[42,44],"location":[43,166],"recommendation":[46],"of":[47,65,90,121,132,142,160,178,190,203,208,212],"places":[48],"developed":[52],"an":[53],"Android":[54],"application":[55,227],"gather":[57],"from":[59],"wireless":[61,162],"sensors":[62],"GPS":[64],"smartphone.":[67],"Deep":[68],"learning":[69,93,111,181],"technology":[70],"on":[71,96],"this":[72,126,155,188],"complex":[73],"diverse":[75],"behavioral":[76],"help":[79],"extract":[80],"useful":[81],"information.":[82],"Our":[83,105],"research":[84],"assessed":[85],"accuracy":[87,140],"efficiency":[89],"four":[91],"deep":[92,110,180],"architectures":[94],"based":[95],"convolutional":[97,134],"neural":[98],"networks":[99,116,135],"variants":[102],"LSTM.":[104,118],"study":[106,156],"presents":[107],"a":[108,200],"novel":[109],"model":[112,127],"that":[113,125],"integrates":[114],"residual":[115],"results":[120],"our":[122],"experiments":[123],"demonstrate":[124],"surpasses":[128],"traditional":[130],"approach":[131],"combining":[133],"with":[136],"LSTM,":[137],"achieving":[138],"higher":[139],"rates":[141],"90.058%":[143],"90.261%":[145],"for":[146,168,183],"predicting":[147,169],"user":[148,151,170],"locale":[149],"intent,":[152],"respectively.":[153],"Overall,":[154],"demonstrates":[157],"potential":[159],"sensor":[163],"services":[167],"activity":[171],"location.":[173],"It":[174],"highlights":[175],"importance":[177],"utilizing":[179],"techniques":[182],"effectively":[184],"processing":[185],"analyzing":[187],"type":[189],"data,":[191],"which":[192],"prevalent":[196],"today,":[197],"provides":[199],"understanding":[202],"how":[204],"take":[206],"advantage":[207],"vast":[210],"amount":[211],"smartphone":[213],"make":[216],"predictions":[217],"about":[218],"human":[219],"behavior.":[220],"This":[221],"be":[223],"used":[224],"various":[226],"areas.":[228]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}