{"id":"https://openalex.org/W3008674845","doi":"https://doi.org/10.1109/icaiic48513.2020.9065205","title":"A Comparison of Machine Learning Algorithms for Fall Detection using Wearable Sensors","display_name":"A Comparison of Machine Learning Algorithms for Fall Detection using Wearable Sensors","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3008674845","doi":"https://doi.org/10.1109/icaiic48513.2020.9065205","mag":"3008674845"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic48513.2020.9065205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9065205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5018620116","display_name":"Nicolas Zurbuchen","orcid":"https://orcid.org/0000-0002-6704-9031"},"institutions":[{"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"]},{"id":"https://openalex.org/I4210109379","display_name":"HES-SO Fribourg","ror":"https://ror.org/02kkwkt79","country_code":"CH","type":"education","lineage":["https://openalex.org/I173439891","https://openalex.org/I4210109379"]}],"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, Fribourg, Switzerland"],"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, Fribourg, Switzerland","institution_ids":["https://openalex.org/I4210109379","https://openalex.org/I4210095958"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030511845","display_name":"Pascal Bruegger","orcid":"https://orcid.org/0000-0002-6238-3225"},"institutions":[{"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"]},{"id":"https://openalex.org/I4210109379","display_name":"HES-SO Fribourg","ror":"https://ror.org/02kkwkt79","country_code":"CH","type":"education","lineage":["https://openalex.org/I173439891","https://openalex.org/I4210109379"]}],"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, Fribourg, Switzerland"],"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, Fribourg, Switzerland","institution_ids":["https://openalex.org/I4210109379","https://openalex.org/I4210095958"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044910565","display_name":"Adriana Wilde","orcid":"https://orcid.org/0000-0002-1684-1539"},"institutions":[{"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":false,"raw_author_name":"Adriana Wilde","raw_affiliation_strings":["Centre for Health Technologies (CHT), School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Centre for Health Technologies (CHT), School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom","institution_ids":["https://openalex.org/I43439940"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018620116"],"corresponding_institution_ids":["https://openalex.org/I4210095958","https://openalex.org/I4210109379"],"apc_list":null,"apc_paid":null,"fwci":1.9628,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.88412956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"427","last_page":"431"},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.982200026512146,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9767000079154968,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7884899973869324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7629826068878174},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.7352502942085266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7075842618942261},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7064213156700134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6970330476760864},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.6686489582061768},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6098459362983704},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.564403772354126},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5454346537590027},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.5253053307533264},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.466943621635437},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4297829568386078},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4277192950248718},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13446539640426636},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.12007671594619751}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7884899973869324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7629826068878174},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.7352502942085266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7075842618942261},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7064213156700134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6970330476760864},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.6686489582061768},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6098459362983704},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.564403772354126},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5454346537590027},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.5253053307533264},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.466943621635437},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4297829568386078},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4277192950248718},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13446539640426636},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.12007671594619751},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icaiic48513.2020.9065205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9065205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.soton.ac.uk:437602","is_oa":false,"landing_page_url":"http://doi.org/10.1109/ICAIIC48513.2020.9065205>).","pdf_url":null,"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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1971422403","https://openalex.org/W1986847617","https://openalex.org/W2007717933","https://openalex.org/W2018282406","https://openalex.org/W2063968310","https://openalex.org/W2072130063","https://openalex.org/W2076068958","https://openalex.org/W2079458432","https://openalex.org/W2102699948","https://openalex.org/W2103252230","https://openalex.org/W2130629933","https://openalex.org/W2146291834","https://openalex.org/W2158698691","https://openalex.org/W2159151804","https://openalex.org/W2161464748","https://openalex.org/W2170672895","https://openalex.org/W2201912737","https://openalex.org/W2206426646","https://openalex.org/W2270470215","https://openalex.org/W2541166653","https://openalex.org/W2543632018","https://openalex.org/W2782709354","https://openalex.org/W3101657545","https://openalex.org/W6668436134"],"related_works":["https://openalex.org/W3208169454","https://openalex.org/W4298012357","https://openalex.org/W4296079469","https://openalex.org/W2896054965","https://openalex.org/W2896110774","https://openalex.org/W2568135170","https://openalex.org/W3100297620","https://openalex.org/W2547400098","https://openalex.org/W2988362112","https://openalex.org/W2084789715"],"abstract_inverted_index":{"The":[0],"proportion":[1],"of":[2,28,68,95,97],"people":[3],"60":[4],"years":[5],"old":[6],"and":[7,31,100,112,135,145],"above":[8],"is":[9],"expected":[10],"to":[11,14,125,149],"double":[12],"globally":[13],"reach":[15],"22":[16],"%":[17],"by":[18],"2050.":[19],"This":[20,63],"creates":[21],"societal":[22],"challenges":[23],"such":[24,131],"as":[25,132],"the":[26,32,42,50,55,66,83,139],"increase":[27],"age-related":[29],"illnesses":[30],"need":[33],"for":[34,41,57],"caregivers.":[35],"Falls":[36],"are":[37],"a":[38,58,69,79,89,113,143],"major":[39],"threat":[40],"elderly,":[43],"often":[44],"causing":[45],"serious":[46],"injuries":[47],"especially":[48],"when":[49],"fallen":[51],"person":[52],"stays":[53],"on":[54],"ground":[56],"long":[59],"time":[60],"without":[61],"assistance.":[62],"paper":[64],"presents":[65],"development":[67],"Fall":[70],"Detection":[71],"System":[72],"(FDS)":[73],"using":[74,118],"an":[75],"accelerometer":[76],"combined":[77],"with":[78,142],"gyroscope":[80],"worn":[81],"at":[82],"waist.":[84],"Data":[85],"come":[86],"from":[87],"SisFall,":[88],"publicly":[90],"available":[91],"dataset":[92],"containing":[93],"records":[94],"Activities":[96],"Daily":[98],"Living":[99],"falls.":[101],"We":[102,108],"compared":[103],"five":[104,119],"Machine":[105,120],"Learning":[106,121],"algorithms.":[107],"first":[109],"applied":[110],"preprocessing":[111],"feature":[114],"extraction":[115],"stage":[116],"before":[117],"algorithms,":[122],"allowing":[123],"us":[124],"compare":[126],"them.":[127],"Ensemble":[128],"learning":[129],"algorithms":[130],"Random":[133],"Forest":[134],"Gradient":[136],"Boosting":[137],"have":[138],"best":[140],"performance,":[141],"Sensitivity":[144],"Specificity":[146],"both":[147],"close":[148],"99%.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
