{"id":"https://openalex.org/W4389474372","doi":"https://doi.org/10.1109/mmsp59012.2023.10337682","title":"Machine Learning and Feature Ranking for Impact Fall Detection Event Using Multisensor Data","display_name":"Machine Learning and Feature Ranking for Impact Fall Detection Event Using Multisensor Data","publication_year":2023,"publication_date":"2023-09-27","ids":{"openalex":"https://openalex.org/W4389474372","doi":"https://doi.org/10.1109/mmsp59012.2023.10337682"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp59012.2023.10337682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp59012.2023.10337682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2401.05407","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037893683","display_name":"Tresor Y. Koffi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tresor Y. Koffi","raw_affiliation_strings":["CESI LINEACT Laboratory, UR 7527,Dijon,France,21800"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CESI LINEACT Laboratory, UR 7527,Dijon,France,21800","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049229616","display_name":"Youssef Mourchid","orcid":"https://orcid.org/0000-0003-4108-4557"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Youssef Mourchid","raw_affiliation_strings":["CESI LINEACT Laboratory, UR 7527,Dijon,France,21800"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CESI LINEACT Laboratory, UR 7527,Dijon,France,21800","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063898482","display_name":"Mohammed Hindawi","orcid":"https://orcid.org/0000-0001-8111-5050"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammed Hindawi","raw_affiliation_strings":["CESI LINEACT Laboratory, UR 7527,Lyon,France,69100"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CESI LINEACT Laboratory, UR 7527,Lyon,France,69100","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018852344","display_name":"Yohan Dupuis","orcid":"https://orcid.org/0000-0002-9725-2049"},"institutions":[{"id":"https://openalex.org/I4210155362","display_name":"Centre d'Etudes Superieures Industrielles","ror":"https://ror.org/04f87d812","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210155362"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yohan Dupuis","raw_affiliation_strings":["CESI LINEACT Laboratory, UR 7527,Paris La Défense,France,92074"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CESI LINEACT Laboratory, UR 7527,Paris La Défense,France,92074","institution_ids":["https://openalex.org/I4210155362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037893683"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4703,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65968053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9997000098228455,"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":0.9997000098228455,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9810000061988831,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.980400025844574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7700727581977844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6678188443183899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6135208606719971},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.58514004945755},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5504549145698547},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.524488627910614},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5193868279457092},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48509013652801514},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4668470323085785},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.44720518589019775},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41776201128959656},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4159688353538513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7700727581977844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6678188443183899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6135208606719971},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.58514004945755},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5504549145698547},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.524488627910614},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5193868279457092},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48509013652801514},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4668470323085785},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.44720518589019775},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41776201128959656},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4159688353538513},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/mmsp59012.2023.10337682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp59012.2023.10337682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2401.05407","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.05407","pdf_url":"https://arxiv.org/pdf/2401.05407","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-04673433v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04673433","pdf_url":"https://hal.science/hal-04673433v1/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MMSP, Sep 2023, Poitiers, France","raw_type":"Conference papers"},{"id":"pmh:oai:HAL:hal-04390227v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04390227","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), Sep 2023, Poitiers, France. pp.1-6, ⟨10.1109/MMSP59012.2023.10337682⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2401.05407","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.05407","pdf_url":"https://arxiv.org/pdf/2401.05407","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389474372.pdf","grobid_xml":"https://content.openalex.org/works/W4389474372.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1964940342","https://openalex.org/W1967018481","https://openalex.org/W1973033483","https://openalex.org/W1999966855","https://openalex.org/W2042315176","https://openalex.org/W2081241079","https://openalex.org/W2086137009","https://openalex.org/W2371638596","https://openalex.org/W2608146202","https://openalex.org/W2778740878","https://openalex.org/W2802502226","https://openalex.org/W2887341257","https://openalex.org/W2941398656","https://openalex.org/W2997346730","https://openalex.org/W3002417609","https://openalex.org/W3127786468","https://openalex.org/W4214941346","https://openalex.org/W4307751517","https://openalex.org/W4372266868","https://openalex.org/W6623737539","https://openalex.org/W6877208053"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"Falls":[0],"among":[1],"individuals,":[2],"especially":[3],"the":[4,29,47,50,69,75,84,95,104,108,120,139,151,163],"elderly":[5],"population,":[6],"can":[7],"lead":[8],"to":[9,37,46,53,67,156],"serious":[10],"injuries":[11],"and":[12,27,56,86,161,166],"complications.":[13],"Detecting":[14],"impact":[15,105,136],"moments":[16],"within":[17],"a":[18,63],"fall":[19,146,158],"event":[20],"is":[21,52],"crucial":[22],"for":[23,145],"providing":[24],"timely":[25],"assistance":[26],"minimizing":[28],"negative":[30],"consequences.":[31],"In":[32],"this":[33,39],"work,":[34],"we":[35,61,118],"aim":[36],"address":[38],"challenge":[40],"by":[41],"applying":[42],"thorough":[43],"preprocessing":[44],"techniques":[45],"multisensor":[48,76,143],"dataset,":[49,78],"goal":[51],"eliminate":[54],"noise":[55],"improve":[57,162],"data":[58,110,144],"quality.":[59],"Furthermore,":[60],"employ":[62],"feature":[64],"selection":[65],"process":[66],"identify":[68],"most":[70],"relevant":[71],"features":[72],"derived":[73],"from":[74,112],"UP-FALL":[77],"which":[79],"in":[80,102,135],"turn":[81],"will":[82],"enhance":[83,157],"performance":[85],"efficiency":[87,96],"of":[88,97,122,141,153,168,172],"machine":[89,99],"learning":[90,100],"models.":[91],"We":[92],"then":[93],"evaluate":[94],"various":[98,126],"models":[101],"detecting":[103],"moment":[106],"using":[107,125],"resulting":[109],"information":[111],"multiple":[113],"sensors.":[114],"Through":[115],"extensive":[116],"experimentation,":[117],"assess":[119],"accuracy":[121,133],"our":[123,154],"approach":[124,155],"evaluation":[127],"metrics.":[128],"Our":[129],"results":[130],"achieve":[131],"high":[132],"rates":[134],"detection,":[137],"showcasing":[138],"power":[140],"leveraging":[142],"detection":[147,159],"tasks.":[148],"This":[149],"highlights":[150],"potential":[152],"systems":[160],"overall":[164],"safety":[165],"well-being":[167],"individuals":[169],"at":[170],"risk":[171],"falls.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-27T08:22:11.395708","created_date":"2025-10-10T00:00:00"}