{"id":"https://openalex.org/W2312995878","doi":"https://doi.org/10.1109/embc.2014.6944974","title":"Detecting daily routines of older adults using sensor time series clustering","display_name":"Detecting daily routines of older adults using sensor time series clustering","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2312995878","doi":"https://doi.org/10.1109/embc.2014.6944974","mag":"2312995878","pmid":"https://pubmed.ncbi.nlm.nih.gov/25571342"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2014.6944974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6944974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"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/A5014619250","display_name":"Zahra Hajihashemi","orcid":null},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zahra Hajihashemi","raw_affiliation_strings":["Computer Science Department, University of Missouri, Columbia, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062516941","display_name":"Maria Yefimova","orcid":"https://orcid.org/0000-0003-1458-8012"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maria Yefimova","raw_affiliation_strings":["School of Nursing, University of California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Nursing, University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060329217","display_name":"Mihail Popescu","orcid":"https://orcid.org/0000-0002-6145-8096"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihail Popescu","raw_affiliation_strings":["HMI Department, University of Missouri, Columbia, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HMI Department, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9877,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.88609878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2014","issue":null,"first_page":"5912","last_page":"5915"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9898999929428101,"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"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9876999855041504,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7613264322280884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6865001916885376},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5323864221572876},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5270205736160278},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.522239089012146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5024576187133789},{"id":"https://openalex.org/keywords/retirement-community","display_name":"Retirement community","score":0.4954272508621216},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4659861922264099},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.43779510259628296},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37401336431503296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30775851011276245},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27885666489601135},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2202543318271637},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18096476793289185},{"id":"https://openalex.org/keywords/gerontology","display_name":"Gerontology","score":0.11939972639083862},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11127865314483643},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09140807390213013}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7613264322280884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6865001916885376},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5323864221572876},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5270205736160278},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.522239089012146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5024576187133789},{"id":"https://openalex.org/C2778729698","wikidata":"https://www.wikidata.org/wiki/Q1269448","display_name":"Retirement community","level":2,"score":0.4954272508621216},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4659861922264099},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.43779510259628296},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37401336431503296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30775851011276245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27885666489601135},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2202543318271637},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18096476793289185},{"id":"https://openalex.org/C74909509","wikidata":"https://www.wikidata.org/wiki/Q10387","display_name":"Gerontology","level":1,"score":0.11939972639083862},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11127865314483643},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09140807390213013},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000203","descriptor_name":"Activities of Daily Living","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000203","descriptor_name":"Activities of Daily Living","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000203","descriptor_name":"Activities of Daily Living","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062211","descriptor_name":"Spatio-Temporal Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062211","descriptor_name":"Spatio-Temporal Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062211","descriptor_name":"Spatio-Temporal Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2014.6944974","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6944974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:25571342","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25571342","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309568","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W42087803","https://openalex.org/W89297006","https://openalex.org/W1540310433","https://openalex.org/W1908612907","https://openalex.org/W1990900597","https://openalex.org/W1998871699","https://openalex.org/W2006761268","https://openalex.org/W2018664126","https://openalex.org/W2028904582","https://openalex.org/W2065896950","https://openalex.org/W2095618476","https://openalex.org/W2141344358","https://openalex.org/W2155976638","https://openalex.org/W2164000012","https://openalex.org/W2164274563","https://openalex.org/W2327436950","https://openalex.org/W6603665214","https://openalex.org/W6632119897"],"related_works":["https://openalex.org/W2348837382","https://openalex.org/W746329893","https://openalex.org/W4205872570","https://openalex.org/W4245971243","https://openalex.org/W1922805944","https://openalex.org/W4253588120","https://openalex.org/W2383732295","https://openalex.org/W2942717012","https://openalex.org/W4248716494","https://openalex.org/W2162226802"],"abstract_inverted_index":{"The":[0,114,146],"aim":[1],"of":[2,15,18,83,104,116,148],"this":[3,62],"paper":[4],"is":[5],"to":[6,10,21,24,98,127,142],"develop":[7],"an":[8],"algorithm":[9],"identify":[11],"deviations":[12],"in":[13,53,73],"patterns":[14],"day-to-day":[16],"activities":[17],"older":[19,106],"adults":[20],"generate":[22],"alerts":[23],"the":[25,105,129,149],"healthcare":[26],"providers":[27],"for":[28,132],"timely":[29],"interventions.":[30],"Daily":[31],"routines,":[32],"such":[33],"as":[34,102],"bathroom":[35,100],"visits,":[36],"can":[37],"be":[38],"monitored":[39],"by":[40],"automated":[41],"in-home":[42],"sensor":[43,54,123],"systems.":[44],"We":[45],"present":[46],"a":[47,70,81,111,137],"novel":[48],"approach":[49],"that":[50],"finds":[51],"periodicity":[52],"time":[55,121],"series":[56],"data":[57,66],"using":[58],"clustering":[59,139],"approach.":[60],"For":[61],"study,":[63],"we":[64],"used":[65,97,126],"set":[67],"from":[68],"TigerPlace,":[69],"retirement":[71],"community":[72],"Columbia,":[74],"MO,":[75],"where":[76],"apartments":[77],"are":[78],"equipped":[79],"with":[80],"network":[82],"motion,":[84],"pressure":[85],"and":[86,119],"depth":[87],"sensors.":[88],"A":[89],"retrospective":[90],"multiple":[91],"case":[92],"study":[93],"(N=3)":[94],"design":[95],"was":[96,125,140,152],"quantify":[99],"visits":[101],"parts":[103],"adult's":[107],"daily":[108],"routine,":[109],"over":[110],"10-day":[112],"period.":[113],"distribution":[115],"duration,":[117],"number,":[118],"average":[120],"between":[122],"hits":[124],"define":[128],"confidence":[130],"level":[131],"routine":[133],"visit":[134],"extraction.":[135],"Then,":[136],"hierarchical":[138],"applied":[141],"extract":[143],"periodic":[144],"patterns.":[145],"performance":[147],"proposed":[150],"method":[151],"evaluated":[153],"through":[154],"experimental":[155],"results.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
