{"id":"https://openalex.org/W3082108559","doi":"https://doi.org/10.1109/embc44109.2020.9175589","title":"Machine Learning-Based Physical Activity Tracking with a view to Frailty Analysis","display_name":"Machine Learning-Based Physical Activity Tracking with a view to Frailty Analysis","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3082108559","doi":"https://doi.org/10.1109/embc44109.2020.9175589","mag":"3082108559","pmid":"https://pubmed.ncbi.nlm.nih.gov/33018857"},"language":"en","primary_location":{"id":"doi:10.1109/embc44109.2020.9175589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9175589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","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/A5006684777","display_name":"Manuel Abbas","orcid":"https://orcid.org/0000-0003-0939-0781"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Manuel Abbas","raw_affiliation_strings":["Manuel Abbas and R\u00e9gine Le Bouquin Jeann\u00e8s, Univ Rennes, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manuel Abbas and R\u00e9gine Le Bouquin Jeann\u00e8s, Univ Rennes, Rennes, France","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040924643","display_name":"Dominique Somme","orcid":"https://orcid.org/0000-0002-1245-1170"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dominique Somme","raw_affiliation_strings":["Dominique Somme, Univ Rennes 1, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dominique Somme, Univ Rennes 1, Rennes, France","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061343855","display_name":"R\u00e9gine Le Bouquin Jeann\u00e8s","orcid":"https://orcid.org/0000-0002-4050-2895"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Regine Le Bouquin Jeannes","raw_affiliation_strings":["Manuel Abbas and R\u00e9gine Le Bouquin Jeann\u00e8s, Univ Rennes, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manuel Abbas and R\u00e9gine Le Bouquin Jeann\u00e8s, Univ Rennes, Rennes, France","institution_ids":["https://openalex.org/I56067802"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I56067802"],"apc_list":null,"apc_paid":null,"fwci":15.1667,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.99295775,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"2020","issue":null,"first_page":"3917","last_page":"3920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11011","display_name":"Frailty in Older Adults","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2717","display_name":"Geriatrics and Gerontology"},"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/T11011","display_name":"Frailty in Older Adults","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2717","display_name":"Geriatrics and Gerontology"},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9520000219345093,"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/T10397","display_name":"Nutrition and Health in Aging","score":0.9469000101089478,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7723268270492554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.688639760017395},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6669721007347107},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6442139148712158},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6309396624565125},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.566899836063385},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5552310347557068},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5398752689361572},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5351788401603699},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5021467208862305},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32257723808288574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7723268270492554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.688639760017395},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6669721007347107},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6442139148712158},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6309396624565125},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.566899836063385},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5552310347557068},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5398752689361572},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5351788401603699},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5021467208862305},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32257723808288574},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000073496","descriptor_name":"Frailty","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000073496","descriptor_name":"Frailty","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000073496","descriptor_name":"Frailty","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"D015444","descriptor_name":"Exercise","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015444","descriptor_name":"Exercise","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015444","descriptor_name":"Exercise","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc44109.2020.9175589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9175589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:33018857","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33018857","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G6085018342","display_name":"Combining connected functionalities for the acquisition of health data aimed towards a multimodal approach","funder_award_id":"ANR-17-CE19-0024","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W123295786","https://openalex.org/W1852728451","https://openalex.org/W1990729297","https://openalex.org/W2001495052","https://openalex.org/W2002927414","https://openalex.org/W2128121198","https://openalex.org/W2154053567","https://openalex.org/W2164059021","https://openalex.org/W2591841663","https://openalex.org/W2765606296","https://openalex.org/W2887499899","https://openalex.org/W2948422419","https://openalex.org/W2998697029","https://openalex.org/W4300025484","https://openalex.org/W6659268071"],"related_works":["https://openalex.org/W4402452563","https://openalex.org/W2250488071","https://openalex.org/W3195649134","https://openalex.org/W2356150353","https://openalex.org/W4293226380","https://openalex.org/W2018643641","https://openalex.org/W2380744779","https://openalex.org/W3105278570","https://openalex.org/W2117913171","https://openalex.org/W2582769230"],"abstract_inverted_index":{"Frailty":[0],"in":[1,54,148],"old":[2],"age":[3],"is":[4,34,78,86,111,140],"defined":[5],"as":[6],"the":[7,40,48,133,162],"individual":[8],"intrinsic":[9],"susceptibility":[10],"of":[11,31,42,56,60,118,164],"having":[12],"bad":[13],"outcomes":[14],"following":[15],"a":[16,29,35,72,126],"health":[17,170],"problem.":[18],"It":[19],"relies":[20],"on":[21,71,80,113,161],"sarcopenia,":[22],"mobility":[23],"and":[24,27,58,69,96,157],"activity.":[25],"Recognizing":[26],"monitoring":[28],"range":[30],"physical":[32],"activities":[33],"necessary":[36],"step":[37],"which":[38],"precedes":[39],"analysis":[41,139],"this":[43,52],"syndrome.":[44],"This":[45,138],"paper":[46],"investigates":[47],"optimal":[49,103],"tools":[50],"for":[51],"recognition":[53],"terms":[55],"type":[57],"placement":[59],"wearable":[61],"sensors.":[62],"Two":[63],"machine":[64],"learning":[65],"procedures":[66],"are":[67,121],"proposed":[68],"compared":[70],"public":[73],"dataset.":[74],"The":[75,108],"first":[76],"one":[77,110],"based":[79,112],"deep":[81],"learning,":[82,115],"where":[83,116],"feature":[84,128],"extraction":[85],"done":[87],"manually,":[88,123],"by":[89,125],"constructing":[90],"activity":[91],"images":[92],"from":[93,105],"raw":[94],"signals":[95],"applying":[97],"convolutional":[98],"neural":[99],"networks":[100],"to":[101,131,144,150,159],"learn":[102],"features":[104,120],"these":[106],"images.":[107],"second":[109],"shallow":[114],"hundreds":[117],"handcrafted":[119],"extracted":[122],"followed":[124],"novel":[127],"selection":[129],"approach":[130],"retain":[132],"most":[134],"discriminant":[135],"subset.Clinical":[136],"relevance-":[137],"an":[141,167],"indispensable":[142],"prerequisite":[143],"develop":[145],"efficacious":[146],"way":[147],"order":[149],"identify":[151],"people":[152],"with":[153],"frailty":[154,165],"using":[155],"sensors":[156],"moreover,":[158],"take":[160],"challenge":[163],"prevention,":[166],"actual":[168],"world":[169],"organization":[171],"priority.":[172]},"counts_by_year":[{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}