{"id":"https://openalex.org/W3127240170","doi":"https://doi.org/10.3390/s21030938","title":"A Machine Learning Multi-Class Approach for Fall Detection Systems Based on Wearable Sensors with a Study on Sampling Rates Selection","display_name":"A Machine Learning Multi-Class Approach for Fall Detection Systems Based on Wearable Sensors with a Study on Sampling Rates Selection","publication_year":2021,"publication_date":"2021-01-30","ids":{"openalex":"https://openalex.org/W3127240170","doi":"https://doi.org/10.3390/s21030938","mag":"3127240170","pmid":"https://pubmed.ncbi.nlm.nih.gov/33573347"},"language":"en","primary_location":{"id":"doi:10.3390/s21030938","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21030938","pdf_url":"https://www.mdpi.com/1424-8220/21/3/938/pdf?version=1612329775","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/1424-8220/21/3/938/pdf?version=1612329775","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018620116","display_name":"Nicolas Zurbuchen","orcid":"https://orcid.org/0000-0002-6704-9031"},"institutions":[{"id":"https://openalex.org/I173439891","display_name":"HES-SO University of Applied Sciences and Arts Western Switzerland","ror":"https://ror.org/01xkakk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I173439891"]},{"id":"https://openalex.org/I4210095958","display_name":"School of Engineering and Architecture of Fribourg","ror":"https://ror.org/00px2aj27","country_code":"CH","type":"education","lineage":["https://openalex.org/I4210095958"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Nicolas Zurbuchen","raw_affiliation_strings":["Institute of Complex Systems (iCoSys), School of Engineering and Architecture of Fribourg Switzerland, HES-SO University of Applied Sciences and Arts Western Switzerland, 1700 Fribourg, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-6704-9031","affiliations":[{"raw_affiliation_string":"Institute of Complex Systems (iCoSys), School of Engineering and Architecture of Fribourg Switzerland, HES-SO University of Applied Sciences and Arts Western Switzerland, 1700 Fribourg, Switzerland","institution_ids":["https://openalex.org/I173439891","https://openalex.org/I4210095958"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044910565","display_name":"Adriana Wilde","orcid":"https://orcid.org/0000-0002-1684-1539"},"institutions":[{"id":"https://openalex.org/I184461854","display_name":"University of Winchester","ror":"https://ror.org/03fmjzx88","country_code":"GB","type":"education","lineage":["https://openalex.org/I184461854"]},{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Adriana Wilde","raw_affiliation_strings":["Centre for Health Technologies (CHT), School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK","Department of Digital Technologies, Faculty of Business, Law and Digital Technologies, University of Winchester, Winchester SO22 4NR, UK"],"raw_orcid":"https://orcid.org/0000-0002-1684-1539","affiliations":[{"raw_affiliation_string":"Centre for Health Technologies (CHT), School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK","institution_ids":["https://openalex.org/I43439940"]},{"raw_affiliation_string":"Department of Digital Technologies, Faculty of Business, Law and Digital Technologies, University of Winchester, Winchester SO22 4NR, UK","institution_ids":["https://openalex.org/I184461854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030511845","display_name":"Pascal Bruegger","orcid":"https://orcid.org/0000-0002-6238-3225"},"institutions":[{"id":"https://openalex.org/I173439891","display_name":"HES-SO University of Applied Sciences and Arts Western Switzerland","ror":"https://ror.org/01xkakk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I173439891"]},{"id":"https://openalex.org/I4210095958","display_name":"School of Engineering and Architecture of Fribourg","ror":"https://ror.org/00px2aj27","country_code":"CH","type":"education","lineage":["https://openalex.org/I4210095958"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Pascal Bruegger","raw_affiliation_strings":["Institute of Complex Systems (iCoSys), School of Engineering and Architecture of Fribourg Switzerland, HES-SO University of Applied Sciences and Arts Western Switzerland, 1700 Fribourg, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-6238-3225","affiliations":[{"raw_affiliation_string":"Institute of Complex Systems (iCoSys), School of Engineering and Architecture of Fribourg Switzerland, HES-SO University of Applied Sciences and Arts Western Switzerland, 1700 Fribourg, Switzerland","institution_ids":["https://openalex.org/I173439891","https://openalex.org/I4210095958"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018620116","https://openalex.org/A5044910565"],"corresponding_institution_ids":["https://openalex.org/I173439891","https://openalex.org/I184461854","https://openalex.org/I4210095958","https://openalex.org/I43439940"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":4.3641,"has_fulltext":true,"cited_by_count":55,"citation_normalized_percentile":{"value":0.95556883,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"21","issue":"3","first_page":"938","last_page":"938"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9900000095367432,"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/random-forest","display_name":"Random forest","score":0.696366548538208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6748105883598328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6732697486877441},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6411202549934387},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6092985272407532},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5681724548339844},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5369790196418762},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5292560458183289},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.46390244364738464},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4627862572669983},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.4550434648990631},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3866456151008606},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.19205424189567566},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.09118568897247314}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.696366548538208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6748105883598328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6732697486877441},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6411202549934387},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6092985272407532},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5681724548339844},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5369790196418762},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5292560458183289},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.46390244364738464},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4627862572669983},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.4550434648990631},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3866456151008606},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.19205424189567566},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.09118568897247314},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","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":false},{"descriptor_ui":"D000203","descriptor_name":"Activities of Daily Living","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000203","descriptor_name":"Activities of Daily Living","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":"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":"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}],"locations_count":8,"locations":[{"id":"doi:10.3390/s21030938","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21030938","pdf_url":"https://www.mdpi.com/1424-8220/21/3/938/pdf?version=1612329775","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:33573347","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33573347","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:eprints.soton.ac.uk:446740","is_oa":true,"landing_page_url":"http://doi.org/10.3390/s21030938>).","pdf_url":"https://eprints.soton.ac.uk/446740/1/sensors_1067322.pdf","source":{"id":"https://openalex.org/S4306401020","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:doaj.org/article:17c0296375be485093c322268ab88bf6","is_oa":true,"landing_page_url":"https://doaj.org/article/17c0296375be485093c322268ab88bf6","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 21, Iss 3, p 938 (2021)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:6772508","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC7866865","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:hesso.tind.io:7094","is_oa":false,"landing_page_url":"http://arodes.hes-so.ch/record/7094","pdf_url":null,"source":{"id":"https://openalex.org/S4306402432","display_name":"ArODES (HES-SO (https://www.hes-so.ch/))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210088449","host_organization_name":"HES-SO Gen\u00e8ve","host_organization_lineage":["https://openalex.org/I4210088449"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arodes.hes-so.ch/record/7094","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/3/938/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21030938","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; Volume 21; Issue 3; Pages: 938","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7866865","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7866865","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/s21030938","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21030938","pdf_url":"https://www.mdpi.com/1424-8220/21/3/938/pdf?version=1612329775","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":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.4000000059604645}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320277","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543"},{"id":"https://openalex.org/F4320320278","display_name":"University of St Andrews","ror":"https://ror.org/02wn5qz54"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3127240170.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1971422403","https://openalex.org/W1986847617","https://openalex.org/W2007717933","https://openalex.org/W2017803470","https://openalex.org/W2018282406","https://openalex.org/W2023688148","https://openalex.org/W2040879679","https://openalex.org/W2063968310","https://openalex.org/W2072130063","https://openalex.org/W2073401630","https://openalex.org/W2076068958","https://openalex.org/W2079458432","https://openalex.org/W2081241079","https://openalex.org/W2101234009","https://openalex.org/W2102699948","https://openalex.org/W2103252230","https://openalex.org/W2104619880","https://openalex.org/W2130629933","https://openalex.org/W2146291834","https://openalex.org/W2150266240","https://openalex.org/W2158698691","https://openalex.org/W2159151804","https://openalex.org/W2159825898","https://openalex.org/W2161464748","https://openalex.org/W2163660327","https://openalex.org/W2170672895","https://openalex.org/W2201912737","https://openalex.org/W2206426646","https://openalex.org/W2213087239","https://openalex.org/W2270470215","https://openalex.org/W2396617667","https://openalex.org/W2541166653","https://openalex.org/W2543632018","https://openalex.org/W2555209581","https://openalex.org/W2587742742","https://openalex.org/W2724727449","https://openalex.org/W2735430014","https://openalex.org/W2782709354","https://openalex.org/W2888115756","https://openalex.org/W2947033505","https://openalex.org/W3008674845","https://openalex.org/W3009322598","https://openalex.org/W3023430131","https://openalex.org/W3101657545","https://openalex.org/W4240495026","https://openalex.org/W6675354045","https://openalex.org/W6712570237"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W4386690025","https://openalex.org/W2885778889","https://openalex.org/W2766514146","https://openalex.org/W2474028989","https://openalex.org/W2885516856","https://openalex.org/W2073883415"],"abstract_inverted_index":{"Falls":[0],"are":[1],"dangerous":[2],"for":[3,19,117,196],"the":[4,12,17,32,47,98,125,128,133,136,143],"elderly,":[5],"often":[6],"causing":[7],"serious":[8],"injuries":[9],"especially":[10],"when":[11],"fallen":[13],"person":[14],"stays":[15],"on":[16,31,132],"ground":[18],"a":[20,35,53,69,72,102,113,122,154,163,187],"long":[21],"time":[22],"without":[23],"assistance.":[24],"This":[25],"paper":[26],"extends":[27],"our":[28],"previous":[29],"work":[30],"development":[33],"of":[34,59,61,124,127,135,190],"Fall":[36],"Detection":[37],"System":[38],"(FDS)":[39],"using":[40,77],"an":[41,197],"inertial":[42],"measurement":[43],"unit":[44],"worn":[45],"at":[46],"waist.":[48],"Data":[49],"come":[50],"from":[51],"SisFall,":[52],"publicly":[54],"available":[55],"dataset":[56],"containing":[57],"records":[58],"Activities":[60],"Daily":[62],"Living":[63],"and":[64,71,94,104,160,172],"falls.":[65],"We":[66,166],"first":[67],"applied":[68],"preprocessing":[70],"feature":[73],"extraction":[74],"stage":[75],"before":[76],"five":[78],"Machine":[79],"Learning":[80],"algorithms,":[81],"allowing":[82],"us":[83],"to":[84,108,153,184],"compare":[85],"them.":[86],"Ensemble":[87],"learning":[88],"algorithms":[89],"such":[90],"as":[91],"Random":[92],"Forest":[93],"Gradient":[95],"Boosting":[96],"have":[97],"best":[99],"performance,":[100,186],"with":[101,121],"Sensitivity":[103],"Specificity":[105],"both":[106],"close":[107],"99%.":[109],"Our":[110,138],"contribution":[111],"is:":[112],"multi-class":[114,139,155],"classification":[115,140],"approach":[116,141],"fall":[118,144],"detection":[119],"combined":[120],"study":[123],"effect":[126],"sensors\u2019":[129],"sampling":[130,168,181,188],"rate":[131,189],"performance":[134],"FDS.":[137],"splits":[142],"into":[145],"three":[146],"phases:":[147],"pre-fall,":[148],"impact,":[149],"post-fall.":[150],"The":[151,175],"extension":[152],"problem":[156],"is":[157,193],"not":[158],"trivial":[159],"we":[161],"present":[162],"well-performing":[164],"solution.":[165],"experimented":[167],"rates":[169,182],"between":[170],"1":[171],"200":[173],"Hz.":[174],"results":[176],"show":[177],"that,":[178],"while":[179],"high":[180],"tend":[183],"improve":[185],"50":[191],"Hz":[192],"generally":[194],"sufficient":[195],"accurate":[198],"detection.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":6}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
