{"id":"https://openalex.org/W34892740","doi":"https://doi.org/10.1109/embc46164.2021.9630659","title":"5a-F-6 Nd-Fe-B\u6c38\u4e45\u78c1\u77f3\u306e\u4fdd\u78c1\u529b\u306e\u89d2\u5ea6\u4f9d\u5b58\u6027","display_name":"5a-F-6 Nd-Fe-B\u6c38\u4e45\u78c1\u77f3\u306e\u4fdd\u78c1\u529b\u306e\u89d2\u5ea6\u4f9d\u5b58\u6027","publication_year":1989,"publication_date":"1989-09-12","ids":{"openalex":"https://openalex.org/W34892740","doi":"https://doi.org/10.1109/embc46164.2021.9630659","mag":"34892740"},"language":"en","primary_location":{"id":"mag:34892740","is_oa":false,"landing_page_url":"https://ci.nii.ac.jp/naid/110001991353/","pdf_url":null,"source":{"id":"https://openalex.org/S4306556194","display_name":"\u79cb\u306e\u5206\u79d1\u4f1a\u8b1b\u6f14\u4e88\u7a3f\u96c6","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"\u79cb\u306e\u5206\u79d1\u4f1a\u8b1b\u6f14\u4e88\u7a3f\u96c6","raw_type":null},"type":"article","indexed_in":[],"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/A5069239711","display_name":"\u7fa9\u8fd1 \u5927\u8c37","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"\u7fa9\u8fd1 \u5927\u8c37","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090629679","display_name":"\u82f1\u7d00 \u5bae\u5cf6","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u82f1\u7d00 \u5bae\u5cf6","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080548361","display_name":"\u8061\u4fe1 \u8fd1\u89d2","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u8061\u4fe1 \u8fd1\u89d2","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5077879938","display_name":"\u54f2 \u5e83\u6ca2","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u54f2 \u5e83\u6ca2","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069239711"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00357508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1989","issue":"3","first_page":"65","last_page":"7115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.11150000244379044,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.11150000244379044,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.11150000244379044,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.09179999679327011,"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/computer-science","display_name":"Computer science","score":0.2721603810787201}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2721603810787201}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:34892740","is_oa":false,"landing_page_url":"https://ci.nii.ac.jp/naid/110001991353/","pdf_url":null,"source":{"id":"https://openalex.org/S4306556194","display_name":"\u79cb\u306e\u5206\u79d1\u4f1a\u8b1b\u6f14\u4e88\u7a3f\u96c6","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"\u79cb\u306e\u5206\u79d1\u4f1a\u8b1b\u6f14\u4e88\u7a3f\u96c6","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Monitoring":[0],"activities":[1,25,72,253],"of":[2,21,138,181],"daily":[3],"life":[4],"(ADLs)":[5],"allows":[6],"to":[7,108,210,233,237],"evaluate":[8],"health":[9],"conditions":[10],"for":[11,70,83,203],"older":[12,43,250],"adults.":[13],"However,":[14],"there":[15],"are":[16],"still":[17],"a":[18,28,46,129,159,164,215,231,245,255],"limited":[19],"number":[20],"studies":[22],"on":[23,134,158,168],"bathroom":[24,50,71,84,252],"monitoring":[26,249],"using":[27,57,93,204,254],"wrist-mounted":[29,47,257],"accelerometer.":[30,48,258],"To":[31],"fill":[32],"this":[33,36],"gap,":[34],"in":[35],"study,":[37],"researchers":[38],"collected":[39],"data":[40,69],"from":[41,184,208],"15":[42],"adults":[44],"wearing":[45],"Six":[49],"activities,":[51],"i.e.,":[52,113],"dressing,":[53],"undressing,":[54],"brushing":[55],"teeth,":[56],"toilet,":[58],"washing":[59,62],"face,":[60],"and":[61,96,124,128,222],"hands,":[63],"were":[64,73],"investigated.":[65],"In":[66],"total,":[67],"49.4-hour":[68],"collected.":[74],"A":[75],"hybrid":[76,88,103,143,151],"convolutional":[77],"neural":[78],"network":[79],"(CNN)":[80],"is":[81,91,106,154],"introduced":[82],"activity":[85,183],"recognition.":[86],"This":[87,212],"CNN":[89,104,131,144,152],"model":[90,105,145,153,177,218,246],"developed":[92],"both":[94],"hand-crafted":[95,220],"CNN-based":[97,223],"features":[98,221],"as":[99],"input.":[100],"The":[101,150,188],"proposed":[102],"compared":[107],"four":[109],"machine":[110],"learning":[111,161,172,190,217,228],"models,":[112],"Multilayer":[114],"Perceptron":[115],"(MLP),":[116],"Support":[117],"Vector":[118],"Machines":[119],"(SVM),":[120],"K-nearest":[121],"Neighbors":[122],"(KNN),":[123],"Decision":[125],"Trees":[126],"(DT),":[127],"conventional":[130],"model.":[132],"Based":[133],"the":[135,142,147,170,176,185,201,226,239],"classification":[136,194,240],"results":[137],"leave-one-subject-out":[139],"cross-validation":[140],"(LOSO),":[141],"outperformed":[146],"other":[148],"models.":[149],"also":[155],"tested":[156],"based":[157,167],"transfer":[160,171,189,199,227],"method.":[162],"As":[163],"calibration":[165],"step":[166],"LOSO,":[169],"method":[173,191,229],"additionally":[174],"trains":[175],"with":[178],"an":[179],"example":[180],"each":[182],"test":[186],"subject.":[187],"obtained":[192],"better":[193],"performance":[195],"than":[196],"LOSO.":[197],"With":[198],"learning,":[200],"f1-score":[202],"toilet":[205],"was":[206],"improved":[207],"0.7784":[209],"0.8437.":[211],"study":[213],"proposes":[214],"deep":[216],"fusing":[219],"features.":[224],"Besides,":[225],"offers":[230],"way":[232],"build":[234],"subject-dependent":[235],"models":[236],"improve":[238],"performance.Clinical":[241],"relevance":[242],"-This":[243],"provides":[244],"that":[247],"helps":[248],"adults'":[251],"single":[256]},"counts_by_year":[],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2016-06-24T00:00:00"}