{"id":"https://openalex.org/W3138650334","doi":"https://doi.org/10.1007/s11042-021-10635-3","title":"Modeling elderly behavioral patterns in single-person households","display_name":"Modeling elderly behavioral patterns in single-person households","publication_year":2021,"publication_date":"2021-03-23","ids":{"openalex":"https://openalex.org/W3138650334","doi":"https://doi.org/10.1007/s11042-021-10635-3","mag":"3138650334"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-021-10635-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-021-10635-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-021-10635-3.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11042-021-10635-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024906340","display_name":"M\u00e1rcio Ren\u00ea Brand\u00e3o Soussa","orcid":"https://orcid.org/0000-0002-3359-4760"},"institutions":[{"id":"https://openalex.org/I1329807341","display_name":"Servi\u00e7o Nacional de Aprendizagem Industrial","ror":"https://ror.org/035c3nf67","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I1329807341"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"M\u00e1rcio Ren\u00ea Brand\u00e3o Soussa","raw_affiliation_strings":["Graduate Program in Computational Modeling and Industrial Technology, SENAI-CIMATEC, Salvador, Bahia, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Computational Modeling and Industrial Technology, SENAI-CIMATEC, Salvador, Bahia, Brazil","institution_ids":["https://openalex.org/I1329807341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017920423","display_name":"Valter de Senna","orcid":"https://orcid.org/0000-0002-4593-3459"},"institutions":[{"id":"https://openalex.org/I1329807341","display_name":"Servi\u00e7o Nacional de Aprendizagem Industrial","ror":"https://ror.org/035c3nf67","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I1329807341"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Valter de Senna","raw_affiliation_strings":["Graduate Program in Computational Modeling and Industrial Technology, SENAI-CIMATEC, Salvador, Bahia, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Computational Modeling and Industrial Technology, SENAI-CIMATEC, Salvador, Bahia, Brazil","institution_ids":["https://openalex.org/I1329807341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066217111","display_name":"Val\u00e9ria Loureiro da Silva","orcid":"https://orcid.org/0000-0001-5466-7933"},"institutions":[{"id":"https://openalex.org/I1329807341","display_name":"Servi\u00e7o Nacional de Aprendizagem Industrial","ror":"https://ror.org/035c3nf67","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I1329807341"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Val\u00e9ria Loureiro da Silva","raw_affiliation_strings":["Graduate Program in Computational Modeling and Industrial Technology, SENAI-CIMATEC, Salvador, Bahia, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Computational Modeling and Industrial Technology, SENAI-CIMATEC, Salvador, Bahia, Brazil","institution_ids":["https://openalex.org/I1329807341"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084690243","display_name":"Charles Lima Soares","orcid":"https://orcid.org/0000-0001-9477-7491"},"institutions":[{"id":"https://openalex.org/I1329807341","display_name":"Servi\u00e7o Nacional de Aprendizagem Industrial","ror":"https://ror.org/035c3nf67","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I1329807341"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Charles Lima Soares","raw_affiliation_strings":["Graduate Program in Computational Modeling and Industrial Technology, SENAI-CIMATEC, Salvador, Bahia, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Computational Modeling and Industrial Technology, SENAI-CIMATEC, Salvador, Bahia, Brazil","institution_ids":["https://openalex.org/I1329807341"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024906340"],"corresponding_institution_ids":["https://openalex.org/I1329807341"],"apc_list":null,"apc_paid":null,"fwci":0.3843,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58883987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"80","issue":"14","first_page":"22097","last_page":"22120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9991999864578247,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9991999864578247,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9782999753952026,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9642000198364258,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8433603048324585},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7284948825836182},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48833104968070984},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.48160359263420105},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4769505560398102},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.43979528546333313},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.43768924474716187},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4333685040473938},{"id":"https://openalex.org/keywords/behavioral-pattern","display_name":"Behavioral pattern","score":0.41431301832199097},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.41430583596229553},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13730040192604065},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10275942087173462}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8433603048324585},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7284948825836182},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48833104968070984},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.48160359263420105},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4769505560398102},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.43979528546333313},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.43768924474716187},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4333685040473938},{"id":"https://openalex.org/C83804111","wikidata":"https://www.wikidata.org/wiki/Q1063558","display_name":"Behavioral pattern","level":2,"score":0.41431301832199097},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.41430583596229553},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13730040192604065},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10275942087173462},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-021-10635-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-021-10635-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-021-10635-3.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11042-021-10635-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-021-10635-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-021-10635-3.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3138650334.pdf","grobid_xml":"https://content.openalex.org/works/W3138650334.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W61616006","https://openalex.org/W162358274","https://openalex.org/W649572998","https://openalex.org/W1479863711","https://openalex.org/W1497385253","https://openalex.org/W1930652985","https://openalex.org/W1974811277","https://openalex.org/W1987522330","https://openalex.org/W1990900597","https://openalex.org/W1993237300","https://openalex.org/W1999341144","https://openalex.org/W2003150430","https://openalex.org/W2014268383","https://openalex.org/W2015200434","https://openalex.org/W2016762450","https://openalex.org/W2035182146","https://openalex.org/W2042563844","https://openalex.org/W2057001202","https://openalex.org/W2058162908","https://openalex.org/W2059732136","https://openalex.org/W2083561884","https://openalex.org/W2086834179","https://openalex.org/W2090767179","https://openalex.org/W2091252836","https://openalex.org/W2091484639","https://openalex.org/W2094383022","https://openalex.org/W2104839600","https://openalex.org/W2105499459","https://openalex.org/W2109950763","https://openalex.org/W2118020555","https://openalex.org/W2121391047","https://openalex.org/W2144182447","https://openalex.org/W2148836549","https://openalex.org/W2154887796","https://openalex.org/W2161574907","https://openalex.org/W2161924199","https://openalex.org/W2418646870","https://openalex.org/W2553107489","https://openalex.org/W2900337512","https://openalex.org/W2913066864","https://openalex.org/W2914347169","https://openalex.org/W2939655429","https://openalex.org/W2946496078","https://openalex.org/W2967252588","https://openalex.org/W2995564810","https://openalex.org/W3005282558","https://openalex.org/W4247510521","https://openalex.org/W4254182148","https://openalex.org/W4386637925"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W3006513224","https://openalex.org/W4366700029","https://openalex.org/W2046456988","https://openalex.org/W4210897550","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729"],"abstract_inverted_index":{"Abstract":[0],"This":[1,31,123,175],"paper":[2],"proposes":[3],"and":[4,18,54,63,109,117,143,162,199,202],"describes":[5],"an":[6,12],"unsupervised":[7],"computational":[8,100,121],"model":[9,32,55,101,124],"that":[10,168],"monitors":[11],"elderly":[13,26,85,138],"person":[14],"who":[15,87,140],"lives":[16],"alone":[17,142],"issues":[19],"alarms":[20,164],"when":[21],"a":[22,46,106,119,131],"risk":[23],"to":[24,45,78,154,184],"the":[25,70,84,151,185],"person\u2019s":[27],"well-being":[28],"is":[29,33,56,75,181],"identified.":[30],"based":[34],"on":[35],"data":[36,128],"extracted":[37],"exclusively":[38],"from":[39,136],"passive":[40],"infrared":[41],"motion":[42],"sensors":[43],"connected":[44],"ZigBee":[47],"wireless":[48],"network.":[49],"The":[50,98,148],"proposed":[51],"monitoring":[52],"system":[53],"non-intrusive,":[57],"does":[58,64],"not":[59,65,197],"capture":[60],"any":[61,67],"images,":[62],"require":[66],"interaction":[68],"with":[69,127],"monitored":[71],"person.":[72],"Thus,":[73],"it":[74],"more":[76,91],"likely":[77],"be":[79,170],"adopted":[80],"by":[81],"members":[82],"of":[83,96,133,172,187,204],"population":[86],"might":[88],"reject":[89],"other":[90],"intrusive":[92],"or":[93],"complex":[94],"types":[95],"technology.":[97],"developed":[99],"for":[102,165],"activity":[103],"discovery":[104],"employs":[105],"kernel":[107],"estimator":[108],"local":[110],"outlier":[111],"factor":[112],"calculation,":[113],"which":[114],"are":[115,196,206],"reliable":[116],"have":[118,144],"low":[120,200],"cost.":[122],"was":[125],"tested":[126],"collected":[129],"over":[130],"period":[132],"25":[134],"days":[135],"two":[137],"volunteers":[139],"live":[141],"fairly":[145],"different":[146],"routines.":[147],"results":[149],"demonstrate":[150],"model\u2019s":[152],"ability":[153],"learn":[155],"relevant":[156],"behaviors,":[157],"as":[158,160],"well":[159],"identify":[161],"issue":[163],"atypical":[166],"activities":[167],"can":[169],"suggestive":[171],"health":[173],"problems.":[174],"low-cost,":[176],"minimalistic":[177],"sensor":[178],"network":[179],"approach":[180],"especially":[182],"suited":[183],"reality":[186],"underdeveloped":[188],"(and":[189],"developing)":[190],"countries":[191],"where":[192],"assisted":[193],"living":[194],"communities":[195],"available":[198],"cost":[201],"ease":[203],"use":[205],"paramount.":[207]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}