{"id":"https://openalex.org/W4225700922","doi":"https://doi.org/10.1109/access.2022.3165208","title":"Dementia Scale Score Classification Based on Daily Activities Using Multiple Sensors","display_name":"Dementia Scale Score Classification Based on Daily Activities Using Multiple Sensors","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4225700922","doi":"https://doi.org/10.1109/access.2022.3165208"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3165208","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3165208","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09750074.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09750074.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016152261","display_name":"Akira Minamisawa","orcid":null},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Akira Minamisawa","raw_affiliation_strings":["Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan"],"affiliations":[{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080920610","display_name":"Shogo Okada","orcid":"https://orcid.org/0000-0002-9260-0403"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shogo Okada","raw_affiliation_strings":["Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan"],"affiliations":[{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102046950","display_name":"Ken Inoue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ken Inoue","raw_affiliation_strings":["George and Shaun, Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"George and Shaun, Inc., Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001197360","display_name":"Mami Noguchi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mami Noguchi","raw_affiliation_strings":["Toyota Connected Corporation, Nagoya, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Toyota Connected Corporation, Nagoya, Aichi, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016152261"],"corresponding_institution_ids":["https://openalex.org/I177738480"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.225,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79876133,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"38931","last_page":"38943"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9975000023841858,"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":0.9975000023841858,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9793999791145325,"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/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9664000272750854,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7614384889602661},{"id":"https://openalex.org/keywords/dementia","display_name":"Dementia","score":0.697863757610321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.655489981174469},{"id":"https://openalex.org/keywords/activities-of-daily-living","display_name":"Activities of daily living","score":0.603914737701416},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.556152880191803},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5339020490646362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5318887829780579},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5147966742515564},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4733980894088745},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.43409955501556396},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4230550527572632},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37206727266311646},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1283136010169983},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.09900704026222229},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07550662755966187}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7614384889602661},{"id":"https://openalex.org/C2779483572","wikidata":"https://www.wikidata.org/wiki/Q83030","display_name":"Dementia","level":3,"score":0.697863757610321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.655489981174469},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.603914737701416},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.556152880191803},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5339020490646362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5318887829780579},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5147966742515564},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4733980894088745},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.43409955501556396},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4230550527572632},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37206727266311646},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1283136010169983},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.09900704026222229},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07550662755966187},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3165208","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3165208","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09750074.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f51eb6d5bdff43ed89bba788c57d5102","is_oa":true,"landing_page_url":"https://doaj.org/article/f51eb6d5bdff43ed89bba788c57d5102","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 38931-38943 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3165208","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3165208","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09750074.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G1635998599","display_name":null,"funder_award_id":"19H01120","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3459562248","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3742310203","display_name":null,"funder_award_id":"19H01719","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5256887504","display_name":null,"funder_award_id":"Japan Society for the Promotion of Science (JSPS)","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7752643416","display_name":null,"funder_award_id":"Japan","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4225700922.pdf","grobid_xml":"https://content.openalex.org/works/W4225700922.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1567149586","https://openalex.org/W1585610988","https://openalex.org/W1835016572","https://openalex.org/W1847168837","https://openalex.org/W1987204546","https://openalex.org/W2001215426","https://openalex.org/W2005876975","https://openalex.org/W2008543060","https://openalex.org/W2025016208","https://openalex.org/W2039291573","https://openalex.org/W2076818046","https://openalex.org/W2086800841","https://openalex.org/W2090533051","https://openalex.org/W2098516684","https://openalex.org/W2100495367","https://openalex.org/W2107565916","https://openalex.org/W2139609044","https://openalex.org/W2153635033","https://openalex.org/W2193564998","https://openalex.org/W2252171711","https://openalex.org/W2255466643","https://openalex.org/W2331451475","https://openalex.org/W2396951905","https://openalex.org/W2409233683","https://openalex.org/W2501939926","https://openalex.org/W2513213398","https://openalex.org/W2527572859","https://openalex.org/W2553107489","https://openalex.org/W2585386737","https://openalex.org/W2791951661","https://openalex.org/W2910276480","https://openalex.org/W2946005651","https://openalex.org/W2973175202","https://openalex.org/W2995922426","https://openalex.org/W3010878087","https://openalex.org/W3013280810","https://openalex.org/W3048699693","https://openalex.org/W3128725809","https://openalex.org/W3135207255","https://openalex.org/W3205045103","https://openalex.org/W4244928213","https://openalex.org/W6631190155","https://openalex.org/W6727936937"],"related_works":["https://openalex.org/W2071210425","https://openalex.org/W3195649134","https://openalex.org/W4310840813","https://openalex.org/W4200627986","https://openalex.org/W2103158077","https://openalex.org/W2281498195","https://openalex.org/W2208191412","https://openalex.org/W2413724037","https://openalex.org/W2989668789","https://openalex.org/W4312127264"],"abstract_inverted_index":{"Early":[0],"detection":[1],"of":[2,12,18,22,80,83,162],"age-related":[3],"disease":[4],"symptoms":[5],"in":[6,44,73,90,100],"older":[7,70],"people":[8],"by":[9,51,67,174,183],"the":[10,19,78,131,146,176,188],"use":[11],"daily":[13,34,118],"activity":[14,35,119,185],"data":[15,36,49],"is":[16],"one":[17],"central":[20],"challenges":[21],"home":[23],"sensor":[24,84],"systems.":[25],"This":[26],"paper":[27],"focuses":[28],"on":[29,106,122,145],"dementia":[30,107,141],"scale":[31,142],"classification":[32,137],"from":[33,151],"collected":[37,50],"using":[38,187],"sensors":[39,53],"that":[40,158],"can":[41],"be":[42],"deployed":[43],"actual":[45],"residential":[46],"environments.":[47],"Activity":[48],"four":[52],"(a":[54],"door":[55],"sensor,":[56,59,61],"human":[57,96],"motion":[58,97],"location":[60,99],"and":[62,103,126,179,182],"sleep":[63,104,180],"sensor)":[64],"were":[65],"obtained":[66,165],"recording":[68],"56":[69],"adults":[71],"living":[72],"common":[74],"residences.":[75],"We":[76,109],"analyzed":[77,127],"effects":[79],"different":[81],"types":[82],"data,":[85],"such":[86],"as":[87],"time":[88],"spent":[89],"an":[91],"individual":[92],"room":[93],"according":[94],"to":[95,117,139],"sensors,":[98],"a":[101,112,123,159,167],"facility,":[102],"patterns,":[105],"detection.":[108],"then":[110],"developed":[111],"feature":[113],"extraction":[114],"method":[115],"related":[116],"patterns":[120,186],"based":[121,144],"clustering":[124,184],"algorithm":[125],"its":[128],"effectiveness.":[129],"In":[130],"experimental":[132,155],"evaluation,":[133],"we":[134],"trained":[135],"binary":[136],"models":[138],"classify":[140],"scores":[143],"Mini-Mental":[147],"State":[148],"Examination":[149],"(MMSE)":[150],"these":[152],"datasets.":[153],"The":[154],"results":[156],"show":[157],"maximum":[160],"accuracy":[161],"0.871":[163],"was":[164],"with":[166],"linear":[168],"support":[169],"vector":[170],"machine":[171],"(SVM)":[172],"model":[173],"fusing":[175],"door,":[177],"location,":[178],"features":[181],"X-means":[189],"algorithm.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
