{"id":"https://openalex.org/W1984589714","doi":"https://doi.org/10.1109/wd.2012.6402818","title":"By train or by car? Detecting the user's motion type through smartphone sensors data","display_name":"By train or by car? Detecting the user's motion type through smartphone sensors data","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W1984589714","doi":"https://doi.org/10.1109/wd.2012.6402818","mag":"1984589714"},"language":"en","primary_location":{"id":"doi:10.1109/wd.2012.6402818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wd.2012.6402818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IFIP Wireless Days","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/A5062522099","display_name":"Luca Bedogni","orcid":"https://orcid.org/0000-0001-9993-4046"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Luca Bedogni","raw_affiliation_strings":["Department of Computer Science, University of Bologna","Department of Computer Science, University of Bologna, ITALY#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bologna","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"Department of Computer Science, University of Bologna, ITALY#TAB#","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032452851","display_name":"Marco Di Felice","orcid":"https://orcid.org/0000-0001-7496-7597"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Di Felice","raw_affiliation_strings":["Department of Computer Science, University of Bologna","Department of Computer Science, University of Bologna, ITALY#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bologna","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"Department of Computer Science, University of Bologna, ITALY#TAB#","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066722972","display_name":"Luciano Bononi","orcid":"https://orcid.org/0000-0002-3460-6452"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luciano Bononi","raw_affiliation_strings":["Department of Computer Science, University of Bologna","Department of Computer Science, University of Bologna, ITALY#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bologna","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"Department of Computer Science, University of Bologna, ITALY#TAB#","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062522099"],"corresponding_institution_ids":["https://openalex.org/I9360294"],"apc_list":null,"apc_paid":null,"fwci":3.6065,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":{"value":0.93625933,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9970999956130981,"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/T12496","display_name":"Color perception and design","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9380000233650208,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/computer-science","display_name":"Computer science","score":0.7106098532676697},{"id":"https://openalex.org/keywords/motion-sensors","display_name":"Motion sensors","score":0.5878324508666992},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5300837755203247},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4248311519622803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38466066122055054},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3591160774230957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7106098532676697},{"id":"https://openalex.org/C2986565385","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion sensors","level":2,"score":0.5878324508666992},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5300837755203247},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4248311519622803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38466066122055054},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3591160774230957}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/wd.2012.6402818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wd.2012.6402818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IFIP Wireless Days","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.257.7305","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.257.7305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.gta.ufrj.br/ftp/gta/TechReports/wd2012/1569653961.pdf","raw_type":"text"},{"id":"pmh:oai:cris.unibo.it:11585/132613","is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6402818","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"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"},{"id":"pmh:oai:iris.unimore.it:11380/1187204","is_oa":false,"landing_page_url":"http://hdl.handle.net/11380/1187204","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"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/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W98188630","https://openalex.org/W1551782597","https://openalex.org/W1912123407","https://openalex.org/W2042114513","https://openalex.org/W2090766960","https://openalex.org/W2105046342","https://openalex.org/W2105103777","https://openalex.org/W2119821739","https://openalex.org/W2127095067","https://openalex.org/W2129480985","https://openalex.org/W2135018291","https://openalex.org/W2149216032","https://openalex.org/W2911964244","https://openalex.org/W4239510810","https://openalex.org/W6604091132","https://openalex.org/W6632793416","https://openalex.org/W6640114639"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Nowadays,":[0],"the":[1,20,43,75,100,116,124,127,132,135,138,143,149,153,157,167,172,209,216,226],"increasing":[2],"popularity":[3],"of":[4,22,35,77,102,120,134,145,166,211],"smartphone":[5,122,187],"devices":[6],"equipped":[7],"with":[8,220],"multiple":[9,117],"sensors":[10,48,79],"(e.g.":[11,148],"accelerometer,":[12],"gyroscope,":[13],"etc)":[14],"have":[15],"opened":[16],"several":[17],"possibilities":[18],"to":[19,41,83,183,189,195,201],"deployment":[21],"novel":[23],"and":[24,58,61,87,94,110,126,156,163,194,223],"exciting":[25],"context-aware":[26,203],"mobile":[27],"applications.":[28,205],"In":[29],"this":[30,36,197],"paper,":[31],"we":[32,69,88,98,111,141,170],"exploit":[33],"one":[34],"possibility,":[37],"by":[38,51,230],"investigating":[39],"how":[40],"detect":[42],"user":[44],"motion":[45,85,107,173,192,218],"type":[46,108,174,219],"through":[47],"data":[49,72,80,92,232],"collected":[50,70],"a":[52,121,185],"smartphone.":[53],"Our":[54],"study":[55],"combines":[56],"experimental":[57,71],"analytical":[59],"contributions,":[60],"it":[62],"is":[63],"structured":[64],"in":[65,214,224],"three":[66],"parts.":[67],"First,":[68],"that":[73,113,181],"demonstrate":[74,112,208],"existence":[76],"specific":[78,186],"patterns":[81],"associated":[82],"each":[84,190],"type,":[86,193],"propose":[89],"methods":[90],"for":[91,106],"analysis":[93],"features":[95],"extraction.":[96],"Second,":[97],"compare":[99],"performance":[101],"different":[103],"supervised":[104],"algorithms":[105],"classification,":[109],"jointly":[114],"utilizing":[115],"sensor":[118],"inputs":[119],"(i.e.":[123],"accelerometer":[125],"gyroscope)":[128],"can":[129],"significantly":[130],"improve":[131],"accuracy":[133,162],"classifiers.":[136],"At":[137],"same":[139],"time,":[140],"analyze":[142],"impact":[144],"sampling":[146,150],"parameters":[147],"rate)":[151],"on":[152],"system":[154],"performance,":[155],"corresponding":[158],"trade-off":[159],"between":[160],"classification":[161,227],"energy":[164],"consumption":[165],"device.":[168],"Third,":[169],"integrate":[171],"recognition":[175],"algorithm":[176],"into":[177],"an":[178],"Android":[179,204],"application,":[180],"allows":[182],"associate":[184],"configuration":[188],"detected":[191],"provide":[196],"information":[198],"at":[199],"system-level":[200],"other":[202],"Experimental":[206],"results":[207],"ability":[210],"our":[212],"application":[213],"detecting":[215],"user's":[217],"high":[221],"accuracy,":[222],"mitigating":[225],"errors":[228],"caused":[229],"random":[231],"fluctuations.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":18},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}