{"id":"https://openalex.org/W2790231294","doi":"https://doi.org/10.3390/s18020592","title":"On the Comparison of Wearable Sensor Data Fusion to a Single Sensor Machine Learning Technique in Fall Detection","display_name":"On the Comparison of Wearable Sensor Data Fusion to a Single Sensor Machine Learning Technique in Fall Detection","publication_year":2018,"publication_date":"2018-02-14","ids":{"openalex":"https://openalex.org/W2790231294","doi":"https://doi.org/10.3390/s18020592","mag":"2790231294","pmid":"https://pubmed.ncbi.nlm.nih.gov/29443923"},"language":"en","primary_location":{"id":"doi:10.3390/s18020592","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18020592","pdf_url":"https://www.mdpi.com/1424-8220/18/2/592/pdf?version=1518625843","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/1424-8220/18/2/592/pdf?version=1518625843","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082353082","display_name":"Panagiotis Tsinganos","orcid":"https://orcid.org/0000-0003-3188-2432"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Panagiotis Tsinganos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Patras, 265 04 Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Patras, 265 04 Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009555116","display_name":"Athanassios Skodras","orcid":"https://orcid.org/0000-0002-3872-4325"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Athanassios Skodras","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Patras, 265 04 Patras, Greece"],"raw_orcid":"https://orcid.org/0000-0002-3872-4325","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Patras, 265 04 Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082353082"],"corresponding_institution_ids":["https://openalex.org/I174878644"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":4.3473,"has_fulltext":true,"cited_by_count":74,"citation_normalized_percentile":{"value":0.95951468,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"18","issue":"2","first_page":"592","last_page":"592"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994999766349792,"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":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9575999975204468,"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/wearable-computer","display_name":"Wearable computer","score":0.7883152961730957},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.664968729019165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6622250080108643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.609298050403595},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5954737067222595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5828282237052917},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4125964939594269},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.17438501119613647},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14679592847824097}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7883152961730957},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.664968729019165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6622250080108643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.609298050403595},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5954737067222595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5828282237052917},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4125964939594269},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.17438501119613647},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14679592847824097},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","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":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":false},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","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":"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}],"locations_count":5,"locations":[{"id":"doi:10.3390/s18020592","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18020592","pdf_url":"https://www.mdpi.com/1424-8220/18/2/592/pdf?version=1518625843","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:29443923","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29443923","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:b344ec65c0cc4d9ebc9d86e793740b4a","is_oa":true,"landing_page_url":"https://doaj.org/article/b344ec65c0cc4d9ebc9d86e793740b4a","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 18, Iss 2, p 592 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/18/2/592/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s18020592","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 18; Issue 2; Pages: 592","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5856082","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5856082","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/s18020592","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18020592","pdf_url":"https://www.mdpi.com/1424-8220/18/2/592/pdf?version=1518625843","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2790231294.pdf","grobid_xml":"https://content.openalex.org/works/W2790231294.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1178673422","https://openalex.org/W1482831323","https://openalex.org/W1565746575","https://openalex.org/W1576730730","https://openalex.org/W1634642176","https://openalex.org/W1861808993","https://openalex.org/W2008854521","https://openalex.org/W2010325160","https://openalex.org/W2017794574","https://openalex.org/W2043016444","https://openalex.org/W2051029594","https://openalex.org/W2054242744","https://openalex.org/W2074099390","https://openalex.org/W2094924289","https://openalex.org/W2101286829","https://openalex.org/W2104619880","https://openalex.org/W2106093484","https://openalex.org/W2130629933","https://openalex.org/W2145026237","https://openalex.org/W2146291834","https://openalex.org/W2155326828","https://openalex.org/W2161826908","https://openalex.org/W2165051227","https://openalex.org/W2201912737","https://openalex.org/W2270470215","https://openalex.org/W2287887375","https://openalex.org/W2293580120","https://openalex.org/W2305982171","https://openalex.org/W2346380840","https://openalex.org/W2387306914","https://openalex.org/W2396749897","https://openalex.org/W2460973958","https://openalex.org/W2620660176","https://openalex.org/W2735430014","https://openalex.org/W2765510333","https://openalex.org/W4210637150","https://openalex.org/W4241324418"],"related_works":["https://openalex.org/W2294565841","https://openalex.org/W2006668579","https://openalex.org/W3204276839","https://openalex.org/W4229671472","https://openalex.org/W2513792068","https://openalex.org/W4366731957","https://openalex.org/W4293469093","https://openalex.org/W4255563580","https://openalex.org/W2603734352","https://openalex.org/W2519522639"],"abstract_inverted_index":{"In":[0,63,124],"the":[1,4,24,126,130,139],"context":[2],"of":[3,27,44,102,132,141],"ageing":[5],"global":[6],"population,":[7],"researchers":[8],"and":[9,57,82,129],"scientists":[10],"have":[11,60,75],"tried":[12],"to":[13,16,35,90],"find":[14],"solutions":[15],"many":[17,50],"challenges":[18],"faced":[19],"by":[20],"older":[21],"people.":[22],"Falls,":[23],"leading":[25],"cause":[26],"injury":[28],"among":[29],"elderly,":[30],"are":[31,88],"usually":[32],"severe":[33],"enough":[34],"require":[36],"immediate":[37],"medical":[38],"attention;":[39],"thus,":[40],"their":[41,114,133],"detection":[42,52,96],"is":[43,104],"primary":[45],"importance.":[46],"To":[47],"this":[48,64],"effect,":[49],"fall":[51,83,95,142],"systems":[53],"that":[54,74,109],"utilize":[55],"wearable":[56],"ambient":[58],"sensors":[59],"been":[61,76],"proposed.":[62],"study,":[65],"we":[66],"compare":[67],"three":[68],"newly":[69],"proposed":[70],"data":[71],"fusion":[72,110],"schemes":[73],"applied":[77],"in":[78,97,113],"human":[79],"activity":[80],"recognition":[81],"detection.":[84,143],"Furthermore,":[85],"these":[86],"algorithms":[87,111],"compared":[89],"our":[91],"recent":[92],"work":[93],"regarding":[94],"which":[98],"only":[99],"one":[100],"type":[101],"sensor":[103],"used.":[105],"The":[106],"results":[107],"show":[108],"differ":[112],"performance,":[115],"whereas":[116],"a":[117],"machine":[118],"learning":[119],"strategy":[120],"should":[121],"be":[122],"preferred.":[123],"conclusion,":[125],"methods":[127],"presented":[128],"comparison":[131],"performance":[134],"provide":[135],"useful":[136],"insights":[137],"into":[138],"problem":[140]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}