{"id":"https://openalex.org/W3037126823","doi":"https://doi.org/10.1007/978-3-030-51517-1_13","title":"Baseline Modelling and Composite Representation of Unobtrusively (IoT) Sensed Behaviour Changes Related to Urban Physical Well-Being","display_name":"Baseline Modelling and Composite Representation of Unobtrusively (IoT) Sensed Behaviour Changes Related to Urban Physical Well-Being","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3037126823","doi":"https://doi.org/10.1007/978-3-030-51517-1_13","mag":"3037126823"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-51517-1_13","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-51517-1_13","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-030-51517-1_13.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-030-51517-1_13.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024154559","display_name":"Vladimir Uro\u0161evi\u0107","orcid":"https://orcid.org/0000-0001-6225-1874"},"institutions":[{"id":"https://openalex.org/I4210100972","display_name":"Belit (Serbia)","ror":"https://ror.org/01cs05k22","country_code":"RS","type":"company","lineage":["https://openalex.org/I4210100972"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Vladimir Uro\u0161evi\u0107","raw_affiliation_strings":["Belit d.o.o. Beograd, Trg Nikole Pa\u0161i\u0107a 9, 11000, Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Belit d.o.o. Beograd, Trg Nikole Pa\u0161i\u0107a 9, 11000, Belgrade, Serbia","institution_ids":["https://openalex.org/I4210100972"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083561165","display_name":"Marina Andri\u0107","orcid":"https://orcid.org/0000-0003-2490-5923"},"institutions":[{"id":"https://openalex.org/I4210100972","display_name":"Belit (Serbia)","ror":"https://ror.org/01cs05k22","country_code":"RS","type":"company","lineage":["https://openalex.org/I4210100972"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Marina Andri\u0107","raw_affiliation_strings":["Belit d.o.o. Beograd, Trg Nikole Pa\u0161i\u0107a 9, 11000, Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Belit d.o.o. Beograd, Trg Nikole Pa\u0161i\u0107a 9, 11000, Belgrade, Serbia","institution_ids":["https://openalex.org/I4210100972"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040889929","display_name":"Jos\u00e9 A. Pag\u00e1n","orcid":"https://orcid.org/0000-0002-8915-9602"},"institutions":[{"id":"https://openalex.org/I1301626629","display_name":"New York Academy of Medicine","ror":"https://ror.org/00mwdv335","country_code":"US","type":"education","lineage":["https://openalex.org/I1301626629"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 A. Pag\u00e1n","raw_affiliation_strings":["The New York Academy of Medicine, 1216 Fifth Avenue, New York, NY, 10029, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The New York Academy of Medicine, 1216 Fifth Avenue, New York, NY, 10029, USA","institution_ids":["https://openalex.org/I1301626629"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.7751,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72455902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"155","last_page":"167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10352","display_name":"Physical Activity and Health","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10352","display_name":"Physical Activity and Health","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14393","display_name":"Health, Environment, Cognitive Aging","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9631999731063843,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.739263653755188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7231245040893555},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.7195018529891968},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6659973859786987},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5546002388000488},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5374017953872681},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5287047624588013},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4848659932613373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4198019504547119},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41126880049705505},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08821111917495728}],"concepts":[{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.739263653755188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7231245040893555},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.7195018529891968},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6659973859786987},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5546002388000488},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5374017953872681},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5287047624588013},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4848659932613373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4198019504547119},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41126880049705505},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08821111917495728},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-51517-1_13","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-51517-1_13","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-030-51517-1_13.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:pubmedcentral.nih.gov:7313283","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7313283","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"The Impact of Digital Technologies on Public Health in Developed and Developing Countries","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/978-3-030-51517-1_13","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-51517-1_13","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-030-51517-1_13.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G434337789","display_name":null,"funder_award_id":"HORIZON2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4461997575","display_name":"Participatory Urban Living for Sustainable Environments","funder_award_id":"727816","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3037126823.pdf","grobid_xml":"https://content.openalex.org/works/W3037126823.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W34875703","https://openalex.org/W2033823346","https://openalex.org/W2082259973","https://openalex.org/W2088309211","https://openalex.org/W2088948024","https://openalex.org/W2138831913","https://openalex.org/W2156879797","https://openalex.org/W2294924519","https://openalex.org/W2509262111","https://openalex.org/W2764295601","https://openalex.org/W2784558972","https://openalex.org/W2885087864","https://openalex.org/W2888284198","https://openalex.org/W2922310888","https://openalex.org/W2952079934","https://openalex.org/W2954316914","https://openalex.org/W2973246119","https://openalex.org/W4231195868","https://openalex.org/W4235412292","https://openalex.org/W6922285838"],"related_works":["https://openalex.org/W2883256816","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W2152313554","https://openalex.org/W2064303750","https://openalex.org/W3048672182","https://openalex.org/W1509300825","https://openalex.org/W3092582874","https://openalex.org/W2054620577"],"abstract_inverted_index":{"We":[0],"present":[1],"the":[2,10,21,122],"grounding":[3],"approach,":[4],"deployment":[5],"and":[6,35,38,41,54,70,76,94,101,107,112,117],"preliminary":[7],"validation":[8],"of":[9,14,33,114],"elementary":[11],"devised":[12],"model":[13],"physical":[15,27],"well-being":[16,119],"in":[17,57,72,130],"urban":[18],"environments,":[19],"summarizing":[20],"heterogeneous":[22],"personal":[23],"Big":[24],"Data":[25],"(on":[26],"activity/exercise,":[28],"walking,":[29],"cardio-respiratory":[30],"fitness,":[31],"quality":[32],"sleep":[34],"related":[36],"lifestyle":[37],"health":[39,75],"habits":[40],"status,":[42],"continuously":[43],"collected":[44],"for":[45,68,110,121],"over":[46],"a":[47,105],"year":[48],"mainly":[49],"through":[50,89],"wearable":[51],"IoT":[52],"devices":[53],"survey":[55],"instruments":[56],"7":[58],"global":[59],"testbed":[60],"cities)":[61],"into":[62],"5":[63],"composite":[64],"domain":[65,86],"indicators/indexes":[66],"convenient":[67],"interpretation":[69],"use":[71],"predictive":[73,124],"public":[74],"preventive":[77],"interventions.":[78],"The":[79],"approach":[80],"is":[81],"based":[82],"on":[83],"systematized":[84],"comprehensive":[85],"knowledge":[87],"implemented":[88],"range/threshold-based":[90],"rules":[91],"from":[92],"institutional":[93],"study":[95],"recommendations,":[96],"combined":[97],"with":[98],"statistical":[99],"methods,":[100],"will":[102],"serve":[103],"as":[104],"representative":[106],"performance":[108],"benchmark":[109],"evolution":[111],"evaluation":[113],"more":[115],"complex":[116],"advanced":[118],"models":[120],"aimed":[123],"analytics":[125],"(incorporating":[126],"machine":[127],"learning":[128],"methods)":[129],"subsequent":[131],"development":[132],"underway.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
