{"id":"https://openalex.org/W2811109535","doi":"https://doi.org/10.1109/uic-atc.2017.8397495","title":"Discovering places of interest using sensor data from smartphones and wearables","display_name":"Discovering places of interest using sensor data from smartphones and wearables","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2811109535","doi":"https://doi.org/10.1109/uic-atc.2017.8397495","mag":"2811109535"},"language":"en","primary_location":{"id":"doi:10.1109/uic-atc.2017.8397495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uic-atc.2017.8397495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5081260940","display_name":"Sudip Vhaduri","orcid":"https://orcid.org/0000-0001-6896-9772"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sudip Vhaduri","raw_affiliation_strings":["Department of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019362963","display_name":"Christian Poellabauer","orcid":"https://orcid.org/0000-0002-0599-7941"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christian Poellabauer","raw_affiliation_strings":["Department of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048928683","display_name":"Aaron Striegel","orcid":"https://orcid.org/0000-0002-3157-2859"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aaron Striegel","raw_affiliation_strings":["Department of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005504441","display_name":"Omar Li\u017eardo","orcid":"https://orcid.org/0000-0002-5405-3007"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omar Lizardo","raw_affiliation_strings":["Department of Sociology, University of Notre Dame, IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Sociology, University of Notre Dame, IN","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020525732","display_name":"David Hachen","orcid":"https://orcid.org/0000-0001-7028-8183"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Hachen","raw_affiliation_strings":["Department of Sociology, University of Notre Dame, IN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Sociology, University of Notre Dame, IN","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.7385847568511963},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6636255383491516},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6314992904663086},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6109753847122192},{"id":"https://openalex.org/keywords/locale","display_name":"Locale (computer software)","score":0.4696727693080902},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.46641409397125244},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.455135703086853},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.346327543258667},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3375924229621887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20863720774650574},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1776755154132843},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.09622105956077576}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7385847568511963},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6636255383491516},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6314992904663086},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6109753847122192},{"id":"https://openalex.org/C2776049293","wikidata":"https://www.wikidata.org/wiki/Q1202471","display_name":"Locale (computer software)","level":2,"score":0.4696727693080902},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.46641409397125244},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.455135703086853},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.346327543258667},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3375924229621887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20863720774650574},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1776755154132843},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.09622105956077576},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uic-atc.2017.8397495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uic-atc.2017.8397495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6600000262260437,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W39714684","https://openalex.org/W1509620986","https://openalex.org/W1563556628","https://openalex.org/W1566248475","https://openalex.org/W1643892426","https://openalex.org/W1972584537","https://openalex.org/W1982300822","https://openalex.org/W2009155608","https://openalex.org/W2038868990","https://openalex.org/W2071049788","https://openalex.org/W2073021764","https://openalex.org/W2108577321","https://openalex.org/W2109182426","https://openalex.org/W2117634487","https://openalex.org/W2121868539","https://openalex.org/W2127848524","https://openalex.org/W2199718034","https://openalex.org/W2520779294","https://openalex.org/W2523717247","https://openalex.org/W2565611406","https://openalex.org/W4244906015"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2566526749","https://openalex.org/W2012157391","https://openalex.org/W2585232498","https://openalex.org/W2907667791","https://openalex.org/W2562087406","https://openalex.org/W3047461507"],"abstract_inverted_index":{"Accurate":[0],"detection":[1],"of":[2,12,29,37,63,67,76,89,101,105,119,124,168,171,184,217],"a":[3,30,52,95,98,116,148,154,197,218,221],"user's":[4,149],"presence":[5,216],"at":[6,220],"certain":[7,10],"locations":[8],"during":[9],"times":[11],"the":[13,22,35,58,61,87,166,185,215],"day":[14],"is":[15,46,55],"becoming":[16],"increasingly":[17],"important,":[18],"e.g.,":[19,60],"to":[20,33,50,57,131,146],"study":[21],"mobility,":[23],"behavior,":[24],"or":[25],"social":[26,71],"interaction":[27],"patterns":[28],"user":[31,219],"and":[32,40,69,136,176],"enable":[34],"delivery":[36],"various":[38],"place":[39,62],"time":[41],"dependent":[42],"services.":[43],"Yet,":[44],"it":[45],"often":[47],"more":[48,191],"important":[49],"determine":[51,147],"locale":[53],"that":[54,158,202],"significant":[56,80,222],"user,":[59],"work,":[64],"home,":[65],"homes":[66],"family":[68],"friends,":[70],"gathering":[72],"places,":[73],"etc.,":[74],"instead":[75],"geographic":[77],"locations.":[78],"These":[79],"personal":[81,223],"places":[82],"can":[83,140],"be":[84],"determined":[85],"through":[86],"segmentation":[88,104,156],"location":[90,163],"traces":[91,106,164],"(e.g.,":[92,174],"collected":[93,195],"on":[94],"smartphone)":[96],"into":[97],"discrete":[99],"sequence":[100],"places.":[102],"However,":[103],"with":[107,165],"many":[108,123],"gaps":[109,161],"are":[110],"challenging":[111],"since":[112],"they":[113],"results":[114],"in":[115,134,162],"large":[117],"number":[118],"small":[120],"segments,":[121,209],"where":[122,210],"these":[125],"segments":[126],"actually":[127],"belong":[128],"together.":[129],"Due":[130],"recent":[132],"advances":[133],"smartphone":[135],"wearable":[137],"technologies,":[138],"we":[139,200],"opportunistically":[141,159],"obtain":[142],"additional":[143],"context":[144],"information":[145,173],"location.":[150],"This":[151],"work":[152],"proposes":[153],"new":[155],"approach":[157,204],"fills":[160],"help":[167],"other":[169],"types":[170],"secondary":[172],"sleep":[175],"battery":[177],"charging":[178],"data),":[179],"possibly":[180],"from":[181,190],"multiple":[182],"devices":[183],"same":[186],"user.":[187],"Using":[188],"data":[189],"than":[192],"450":[193],"users,":[194],"over":[196],"2-year":[198],"period,":[199],"show":[201],"this":[203],"yields":[205],"fewer,":[206],"but":[207],"longer":[208],"each":[211],"segment":[212],"accurately":[213],"represents":[214],"place.":[224]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}