{"id":"https://openalex.org/W3009322598","doi":"https://doi.org/10.3390/s20051466","title":"A Study on the Application of Convolutional Neural Networks to Fall Detection Evaluated with Multiple Public Datasets","display_name":"A Study on the Application of Convolutional Neural Networks to Fall Detection Evaluated with Multiple Public Datasets","publication_year":2020,"publication_date":"2020-03-06","ids":{"openalex":"https://openalex.org/W3009322598","doi":"https://doi.org/10.3390/s20051466","mag":"3009322598","pmid":"https://pubmed.ncbi.nlm.nih.gov/32155936"},"language":"en","primary_location":{"id":"doi:10.3390/s20051466","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20051466","pdf_url":"https://www.mdpi.com/1424-8220/20/5/1466/pdf?version=1583924035","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/5/1466/pdf?version=1583924035","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061635358","display_name":"E. Casilari","orcid":"https://orcid.org/0000-0003-2573-1048"},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Eduardo Casilari","raw_affiliation_strings":["Departamento de Tecnolog\u00eda Electr\u00f3nica, Universidad de M\u00e1laga, ETSI Telecomunicaci\u00f3n, 29071 M\u00e1laga, Spain"],"raw_orcid":"https://orcid.org/0000-0003-2573-1048","affiliations":[{"raw_affiliation_string":"Departamento de Tecnolog\u00eda Electr\u00f3nica, Universidad de M\u00e1laga, ETSI Telecomunicaci\u00f3n, 29071 M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085750150","display_name":"Ra\u00fal Lora-Rivera","orcid":"https://orcid.org/0000-0002-8746-3117"},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ra\u00fal Lora-Rivera","raw_affiliation_strings":["Departamento de Tecnolog\u00eda Electr\u00f3nica, Universidad de M\u00e1laga, ETSI Telecomunicaci\u00f3n, 29071 M\u00e1laga, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Tecnolog\u00eda Electr\u00f3nica, Universidad de M\u00e1laga, ETSI Telecomunicaci\u00f3n, 29071 M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052419111","display_name":"Francisco Garc\u00eda-Lagos","orcid":"https://orcid.org/0000-0002-9664-0832"},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francisco Garc\u00eda-Lagos","raw_affiliation_strings":["Departamento de Tecnolog\u00eda Electr\u00f3nica, Universidad de M\u00e1laga, ETSI Telecomunicaci\u00f3n, 29071 M\u00e1laga, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Tecnolog\u00eda Electr\u00f3nica, Universidad de M\u00e1laga, ETSI Telecomunicaci\u00f3n, 29071 M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061635358"],"corresponding_institution_ids":["https://openalex.org/I82767444"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":6.5715,"has_fulltext":true,"cited_by_count":104,"citation_normalized_percentile":{"value":0.97532704,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"20","issue":"5","first_page":"1466","last_page":"1466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9519000053405762,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7310534715652466},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6393429636955261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6379216313362122},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.6368170976638794},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5812408924102783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49659496545791626},{"id":"https://openalex.org/keywords/activities-of-daily-living","display_name":"Activities of daily living","score":0.4866636395454407},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.4565314054489136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4559186100959778},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4426718056201935},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42940273880958557},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4264463782310486},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3552074432373047},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3023965358734131},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22727450728416443},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14057111740112305}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7310534715652466},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6393429636955261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6379216313362122},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.6368170976638794},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5812408924102783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49659496545791626},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.4866636395454407},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.4565314054489136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4559186100959778},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4426718056201935},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42940273880958557},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4264463782310486},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3552074432373047},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3023965358734131},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22727450728416443},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14057111740112305},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","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}],"mesh":[{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","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":"D000203","descriptor_name":"Activities of Daily Living","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","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":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","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":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","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":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019992","descriptor_name":"Databases as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019992","descriptor_name":"Databases as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019992","descriptor_name":"Databases as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D061725","descriptor_name":"Accelerometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D061725","descriptor_name":"Accelerometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D061725","descriptor_name":"Accelerometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s20051466","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20051466","pdf_url":"https://www.mdpi.com/1424-8220/20/5/1466/pdf?version=1583924035","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:32155936","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32155936","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:c61959863a73493a9807d63e49cbffad","is_oa":true,"landing_page_url":"https://doaj.org/article/c61959863a73493a9807d63e49cbffad","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 5, p 1466 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/5/1466/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20051466","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7085732","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7085732","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20051466","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20051466","pdf_url":"https://www.mdpi.com/1424-8220/20/5/1466/pdf?version=1583924035","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"},{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G313932105","display_name":null,"funder_award_id":"UMA18-FEDERJA-022","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G7322609720","display_name":null,"funder_award_id":"UMA18-FEDERJA-022","funder_id":"https://openalex.org/F4320311265","funder_display_name":"Universidad de M\u00e1laga"}],"funders":[{"id":"https://openalex.org/F4320311265","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3009322598.pdf","grobid_xml":"https://content.openalex.org/works/W3009322598.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W1689099703","https://openalex.org/W1980340196","https://openalex.org/W2007678436","https://openalex.org/W2020957915","https://openalex.org/W2022974596","https://openalex.org/W2023688148","https://openalex.org/W2037833583","https://openalex.org/W2043495858","https://openalex.org/W2043598988","https://openalex.org/W2060866511","https://openalex.org/W2072130063","https://openalex.org/W2074099390","https://openalex.org/W2076068958","https://openalex.org/W2096680959","https://openalex.org/W2128799603","https://openalex.org/W2141267930","https://openalex.org/W2145026237","https://openalex.org/W2146291834","https://openalex.org/W2147913947","https://openalex.org/W2155326828","https://openalex.org/W2169558892","https://openalex.org/W2206426646","https://openalex.org/W2270470215","https://openalex.org/W2292787148","https://openalex.org/W2316838528","https://openalex.org/W2336226252","https://openalex.org/W2343110772","https://openalex.org/W2346486611","https://openalex.org/W2387306914","https://openalex.org/W2414900880","https://openalex.org/W2482368507","https://openalex.org/W2531635091","https://openalex.org/W2537570568","https://openalex.org/W2540445744","https://openalex.org/W2543632018","https://openalex.org/W2555209581","https://openalex.org/W2556501329","https://openalex.org/W2560331925","https://openalex.org/W2565299706","https://openalex.org/W2587742742","https://openalex.org/W2620660176","https://openalex.org/W2724727449","https://openalex.org/W2739055454","https://openalex.org/W2748306281","https://openalex.org/W2764242840","https://openalex.org/W2768702723","https://openalex.org/W2778740878","https://openalex.org/W2783524728","https://openalex.org/W2788033932","https://openalex.org/W2790779794","https://openalex.org/W2791636814","https://openalex.org/W2801118647","https://openalex.org/W2809750278","https://openalex.org/W2896783937","https://openalex.org/W2906893778","https://openalex.org/W2909745745","https://openalex.org/W2914367771","https://openalex.org/W2919115771","https://openalex.org/W2922431560","https://openalex.org/W2924509255","https://openalex.org/W2928318647","https://openalex.org/W2941398656","https://openalex.org/W2944332588","https://openalex.org/W2954578450","https://openalex.org/W2974450488","https://openalex.org/W2983704835","https://openalex.org/W3004013109","https://openalex.org/W3101657545","https://openalex.org/W3105241699","https://openalex.org/W4240495026"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W1494268238","https://openalex.org/W154868527","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W4255576661","https://openalex.org/W1516574938"],"abstract_inverted_index":{"Due":[0],"to":[1,71,151],"the":[2,8,17,23,36,45,77,91,94,107,116,124,139,143,147,154],"repercussion":[3],"of":[4,12,20,25,41,53,102,113,118,149],"falls":[5,49],"on":[6,16,76],"both":[7],"health":[9],"and":[10,15,60,120,160],"self-sufficiency":[11],"older":[13],"people":[14],"financial":[18],"sustainability":[19],"healthcare":[21],"systems,":[22],"study":[24],"wearable":[26],"fall":[27,73],"detection":[28],"systems":[29],"(FDSs)":[30],"has":[31],"gained":[32],"much":[33],"attention":[34],"during":[35,115],"last":[37],"years.":[38],"The":[39],"core":[40],"a":[42,62,81,99,136,163],"FDS":[43],"is":[44,69,96,133],"algorithm":[46],"that":[47,157],"discriminates":[48],"from":[50,110],"conventional":[51],"Activities":[52],"Daily":[54],"Life":[55],"(ADLs).":[56],"This":[57],"work":[58],"presents":[59],"evaluates":[61],"convolutional":[63],"deep":[64],"neural":[65],"network":[66,155],"when":[67,131],"it":[68,132],"applied":[70],"identify":[72],"patterns":[74],"based":[75],"measurements":[78],"collected":[79],"by":[80],"transportable":[82],"tri-axial":[83],"accelerometer.":[84],"In":[85],"contrast":[86],"with":[87,142],"most":[88],"works":[89],"in":[90],"related":[92],"literature,":[93],"evaluation":[95,141],"performed":[97],"against":[98],"wide":[100],"set":[101],"public":[103],"data":[104],"repositories":[105,145],"containing":[106],"traces":[108],"obtained":[109],"diverse":[111],"groups":[112],"volunteers":[114],"execution":[117],"ADLs":[119],"mimicked":[121],"falls.":[122],"Although":[123],"method":[125],"can":[126],"yield":[127],"very":[128],"good":[129],"results":[130],"hyper-parameterized":[134],"for":[135,162],"certain":[137],"dataset,":[138],"global":[140],"other":[144,152],"highlights":[146],"difficulty":[148],"extrapolating":[150],"testbeds":[153],"architecture":[156],"was":[158],"configured":[159],"optimized":[161],"particular":[164],"dataset.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":9}],"updated_date":"2026-05-28T09:10:13.091523","created_date":"2025-10-10T00:00:00"}