{"id":"https://openalex.org/W2169138660","doi":"https://doi.org/10.1109/tbme.2009.2030171","title":"A Method for Automatic Fall Detection of Elderly People Using Floor Vibrations and Sound\u2014Proof of Concept on Human Mimicking Doll Falls","display_name":"A Method for Automatic Fall Detection of Elderly People Using Floor Vibrations and Sound\u2014Proof of Concept on Human Mimicking Doll Falls","publication_year":2009,"publication_date":"2009-08-25","ids":{"openalex":"https://openalex.org/W2169138660","doi":"https://doi.org/10.1109/tbme.2009.2030171","mag":"2169138660","pmid":"https://pubmed.ncbi.nlm.nih.gov/19709955"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2009.2030171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2009.2030171","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5042747452","display_name":"Yaniv Zigel","orcid":"https://orcid.org/0000-0002-1994-4242"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Yaniv Zigel","raw_affiliation_strings":["Biomedical Signal Processing Research Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Ben-Gurion University, Beer-Sheva 84105, Israel. yaniv@bgu.ac.il","Dept. of Biomed. Eng., Ben-Gurion Univ., Beer-Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"Biomedical Signal Processing Research Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Ben-Gurion University, Beer-Sheva 84105, Israel. yaniv@bgu.ac.il","institution_ids":["https://openalex.org/I124227911"]},{"raw_affiliation_string":"Dept. of Biomed. Eng., Ben-Gurion Univ., Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084469581","display_name":"Dima Litvak","orcid":null},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Dima Litvak","raw_affiliation_strings":["Department of Biomedical Engineering, Tel-Aviv University, Tel-Aviv, Israel","Dept. of Biomed. Eng., Tel Aviv Univ., Tel Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tel-Aviv University, Tel-Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]},{"raw_affiliation_string":"Dept. of Biomed. Eng., Tel Aviv Univ., Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002914553","display_name":"Israel Gannot","orcid":"https://orcid.org/0000-0003-3155-1908"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Israel Gannot*","raw_affiliation_strings":["Dept. of Biomed. Eng., Tel Aviv Univ., Tel Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Dept. of Biomed. Eng., Tel Aviv Univ., Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042747452"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":null,"apc_paid":null,"fwci":11.9761,"has_fulltext":false,"cited_by_count":370,"citation_normalized_percentile":{"value":0.98883165,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"56","issue":"12","first_page":"2858","last_page":"2867"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9979000091552734,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9976000189781189,"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/proof-of-concept","display_name":"Proof of concept","score":0.6203669309616089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5344172120094299},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5073527693748474},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.48809918761253357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4787294566631317},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4411742687225342},{"id":"https://openalex.org/keywords/shock","display_name":"Shock (circulatory)","score":0.4143630266189575},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.4101371169090271},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3528698682785034},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3522093892097473},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33640027046203613},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.21955606341362},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1866176724433899},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11005422472953796}],"concepts":[{"id":"https://openalex.org/C124978682","wikidata":"https://www.wikidata.org/wiki/Q1201019","display_name":"Proof of concept","level":2,"score":0.6203669309616089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5344172120094299},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5073527693748474},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.48809918761253357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4787294566631317},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4411742687225342},{"id":"https://openalex.org/C2781300812","wikidata":"https://www.wikidata.org/wiki/Q178061","display_name":"Shock (circulatory)","level":2,"score":0.4143630266189575},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.4101371169090271},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3528698682785034},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3522093892097473},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33640027046203613},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.21955606341362},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1866176724433899},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11005422472953796},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","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":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D000058","descriptor_name":"Accidental Falls","qualifier_ui":"Q000517","qualifier_name":"prevention & control","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":"D005240","descriptor_name":"Feasibility Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005240","descriptor_name":"Feasibility Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005240","descriptor_name":"Feasibility Studies","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},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014732","descriptor_name":"Vibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014732","descriptor_name":"Vibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014732","descriptor_name":"Vibration","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":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2009.2030171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2009.2030171","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:19709955","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19709955","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":"IEEE transactions on bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5400000214576721,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W6676988","https://openalex.org/W203831161","https://openalex.org/W1500551892","https://openalex.org/W1512614806","https://openalex.org/W1540596182","https://openalex.org/W1566752807","https://openalex.org/W1605420046","https://openalex.org/W1985450366","https://openalex.org/W1985807372","https://openalex.org/W1999405202","https://openalex.org/W2014915963","https://openalex.org/W2081241079","https://openalex.org/W2084134149","https://openalex.org/W2091566335","https://openalex.org/W2116433035","https://openalex.org/W2120316290","https://openalex.org/W2132549764","https://openalex.org/W2135346934","https://openalex.org/W2137677098","https://openalex.org/W2138330843","https://openalex.org/W2143861446","https://openalex.org/W2148154194","https://openalex.org/W2155256133","https://openalex.org/W2170672895","https://openalex.org/W2404893193","https://openalex.org/W2541575980","https://openalex.org/W2548593690","https://openalex.org/W3017143921","https://openalex.org/W4241299311","https://openalex.org/W6632267817","https://openalex.org/W6713053788"],"related_works":["https://openalex.org/W4312475206","https://openalex.org/W2995569247","https://openalex.org/W2361261209","https://openalex.org/W4389241047","https://openalex.org/W1986444827","https://openalex.org/W2997776052","https://openalex.org/W2331107224","https://openalex.org/W2628527627","https://openalex.org/W2335456008","https://openalex.org/W2357911031"],"abstract_inverted_index":{"Falls":[0],"are":[1],"a":[2,62,126,165,182],"major":[3],"risk":[4],"for":[5,43,72],"the":[6,18,24,28,36,118,142,159,169,172],"elderly":[7,73],"people":[8],"living":[9],"independently.":[10],"Rapid":[11],"detection":[12,44,70],"of":[13,20,45,51,64,120,184,188],"fall":[14,69,96,152],"events":[15,97,153],"can":[16,175],"reduce":[17],"rate":[19],"mortality":[21],"and":[22,30,82,85,89,98,112,138,186],"raise":[23],"chances":[25],"to":[26,32,66,93,144,150],"survive":[27],"event":[29],"return":[31],"independent":[33],"living.":[34],"In":[35,57],"last":[37],"two":[38],"decades,":[39],"several":[40],"technological":[41],"solutions":[42],"falls":[46,180],"were":[47],"published,":[48],"but":[49],"most":[50],"them":[52],"suffer":[53],"from":[54],"critical":[55,155],"limitations.":[56],"this":[58],"paper,":[59],"we":[60,123],"present":[61],"proof":[63],"concept":[65],"an":[67],"automatic":[68],"system":[71,76,174],"people.":[74],"The":[75,101,132],"is":[77,103,135,148,161],"based":[78,104],"on":[79,105],"floor":[80],"vibration":[81],"sound":[83],"sensing,":[84],"uses":[86],"signal":[87],"processing":[88],"pattern":[90],"recognition":[91],"algorithm":[92],"discriminate":[94],"between":[95],"other":[99],"events.":[100],"classification":[102],"special":[106],"features":[107],"like":[108],"shock":[109],"response":[110],"spectrum":[111],"mel":[113],"frequency":[114],"ceptral":[115],"coefficients.":[116],"For":[117],"simulation":[119],"human":[121,127,177],"falls,":[122],"have":[124],"used":[125],"mimicking":[128,178],"doll:":[129],"\"Rescue":[130],"Randy.\"":[131],"proposed":[133,173],"solution":[134],"unique,":[136],"reliable,":[137],"does":[139],"not":[140],"require":[141],"person":[143,160],"wear":[145],"anything.":[146],"It":[147],"designed":[149],"detect":[151,176],"in":[154,157,164],"cases":[156],"which":[158],"unconscious":[162],"or":[163],"stress":[166],"condition.":[167],"From":[168],"preliminary":[170],"research,":[171],"dolls":[179],"with":[181],"sensitivity":[183],"97.5%":[185],"specificity":[187],"98.6%.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":30},{"year":2019,"cited_by_count":36},{"year":2018,"cited_by_count":31},{"year":2017,"cited_by_count":38},{"year":2016,"cited_by_count":26},{"year":2015,"cited_by_count":28},{"year":2014,"cited_by_count":24},{"year":2013,"cited_by_count":19},{"year":2012,"cited_by_count":22}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}
