{"id":"https://openalex.org/W4312769057","doi":"https://doi.org/10.1109/access.2022.3211939","title":"Multi Visual Modality Fall Detection Dataset","display_name":"Multi Visual Modality Fall Detection Dataset","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312769057","doi":"https://doi.org/10.1109/access.2022.3211939"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3211939","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3211939","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09910156.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09910156.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033171036","display_name":"Stefan Denkovski","orcid":"https://orcid.org/0000-0001-9527-7261"},"institutions":[{"id":"https://openalex.org/I1325899441","display_name":"University Health Network","ror":"https://ror.org/042xt5161","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441"]},{"id":"https://openalex.org/I2799838188","display_name":"Toronto Rehabilitation Institute","ror":"https://ror.org/00mxe0976","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441","https://openalex.org/I2799838188"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Stefan Denkovski","raw_affiliation_strings":["KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9527-7261","affiliations":[{"raw_affiliation_string":"KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada","institution_ids":["https://openalex.org/I2799838188","https://openalex.org/I1325899441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045267281","display_name":"Shehroz S. Khan","orcid":"https://orcid.org/0000-0002-1195-4999"},"institutions":[{"id":"https://openalex.org/I1325899441","display_name":"University Health Network","ror":"https://ror.org/042xt5161","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441"]},{"id":"https://openalex.org/I2799838188","display_name":"Toronto Rehabilitation Institute","ror":"https://ror.org/00mxe0976","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441","https://openalex.org/I2799838188"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shehroz S. Khan","raw_affiliation_strings":["KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-1195-4999","affiliations":[{"raw_affiliation_string":"KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada","institution_ids":["https://openalex.org/I2799838188","https://openalex.org/I1325899441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038722003","display_name":"Brandon Malamis","orcid":"https://orcid.org/0000-0003-1238-8308"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Brandon Malamis","raw_affiliation_strings":["Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015544505","display_name":"Sae Young Moon","orcid":"https://orcid.org/0000-0002-2715-3977"},"institutions":[{"id":"https://openalex.org/I1325899441","display_name":"University Health Network","ror":"https://ror.org/042xt5161","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441"]},{"id":"https://openalex.org/I2799838188","display_name":"Toronto Rehabilitation Institute","ror":"https://ror.org/00mxe0976","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441","https://openalex.org/I2799838188"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sae Young Moon","raw_affiliation_strings":["KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada","institution_ids":["https://openalex.org/I2799838188","https://openalex.org/I1325899441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100760858","display_name":"Bing Ye","orcid":"https://orcid.org/0000-0002-8080-1224"},"institutions":[{"id":"https://openalex.org/I1325899441","display_name":"University Health Network","ror":"https://ror.org/042xt5161","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441"]},{"id":"https://openalex.org/I2799838188","display_name":"Toronto Rehabilitation Institute","ror":"https://ror.org/00mxe0976","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441","https://openalex.org/I2799838188"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bing Ye","raw_affiliation_strings":["KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada","institution_ids":["https://openalex.org/I2799838188","https://openalex.org/I1325899441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012412464","display_name":"Alex Mihailidis","orcid":"https://orcid.org/0000-0003-2233-0919"},"institutions":[{"id":"https://openalex.org/I1325899441","display_name":"University Health Network","ror":"https://ror.org/042xt5161","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441"]},{"id":"https://openalex.org/I2799838188","display_name":"Toronto Rehabilitation Institute","ror":"https://ror.org/00mxe0976","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1325899441","https://openalex.org/I2799838188"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alex Mihailidis","raw_affiliation_strings":["KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada","institution_ids":["https://openalex.org/I2799838188","https://openalex.org/I1325899441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.9291,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.87604571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"106422","last_page":"106435"},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.989799976348877,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9890999794006348,"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/computer-science","display_name":"Computer science","score":0.7754678130149841},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7653360366821289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6857630610466003},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6426153779029846},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6382489204406738},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5707409381866455},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5213660001754761},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4921385645866394},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.480728417634964},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4749562740325928},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42005330324172974},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34219467639923096},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.09722048044204712}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7754678130149841},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7653360366821289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6857630610466003},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6426153779029846},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6382489204406738},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5707409381866455},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5213660001754761},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4921385645866394},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.480728417634964},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4749562740325928},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42005330324172974},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34219467639923096},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.09722048044204712},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3211939","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3211939","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09910156.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8cb4a28d37a14fe5a0fe8e9379ec3b6c","is_oa":true,"landing_page_url":"https://doaj.org/article/8cb4a28d37a14fe5a0fe8e9379ec3b6c","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":"IEEE Access, Vol 10, Pp 106422-106435 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3211939","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3211939","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09910156.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G8272442083","display_name":null,"funder_award_id":"499052","funder_id":"https://openalex.org/F4320312535","funder_display_name":"AGE-WELL"}],"funders":[{"id":"https://openalex.org/F4320310234","display_name":"University of Strathclyde","ror":"https://ror.org/00n3w3b69"},{"id":"https://openalex.org/F4320312535","display_name":"AGE-WELL","ror":null},{"id":"https://openalex.org/F4320322015","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312769057.pdf","grobid_xml":"https://content.openalex.org/works/W4312769057.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W160703654","https://openalex.org/W645314983","https://openalex.org/W1973464566","https://openalex.org/W2028661866","https://openalex.org/W2035647453","https://openalex.org/W2043495858","https://openalex.org/W2059584741","https://openalex.org/W2076068958","https://openalex.org/W2077252476","https://openalex.org/W2091566335","https://openalex.org/W2100716893","https://openalex.org/W2101076802","https://openalex.org/W2140943894","https://openalex.org/W2142047467","https://openalex.org/W2149404071","https://openalex.org/W2150216628","https://openalex.org/W2155326828","https://openalex.org/W2178590034","https://openalex.org/W2242658921","https://openalex.org/W2264546443","https://openalex.org/W2323793574","https://openalex.org/W2339231138","https://openalex.org/W2414900880","https://openalex.org/W2440290529","https://openalex.org/W2460973958","https://openalex.org/W2558658959","https://openalex.org/W2605270538","https://openalex.org/W2902643474","https://openalex.org/W2941398656","https://openalex.org/W2980361194","https://openalex.org/W2996492278","https://openalex.org/W2999149473","https://openalex.org/W3021765248","https://openalex.org/W3084709965","https://openalex.org/W3104422614","https://openalex.org/W3126750064","https://openalex.org/W4235217221","https://openalex.org/W4281556630","https://openalex.org/W4299992390"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829"],"abstract_inverted_index":{"Falls":[0],"are":[1,62],"one":[2],"of":[3,7,16,22,85,90,107,116,211,237],"the":[4,11,20,86,131,198,208,235],"leading":[5],"causes":[6],"injury-related":[8],"deaths":[9],"among":[10],"elderly":[12],"worldwide.":[13],"Effective":[14],"detection":[15,27,80,95,174,178],"falls":[17,242],"can":[18,28,127],"reduce":[19],"risk":[21],"complications":[23],"and":[24,58,68,88,111,153,165,223,251],"injuries.":[25],"Fall":[26],"be":[29],"performed":[30],"using":[31],"wearable":[32],"devices":[33],"or":[34,45],"ambient":[35],"sensors;":[36],"these":[37,117,136],"methods":[38],"may":[39],"struggle":[40],"with":[41],"user":[42],"compliance":[43],"issues":[44],"false":[46],"alarms.":[47],"Video":[48],"cameras":[49,61,206],"provide":[50],"a":[51,72,140,182,194,230,244],"passive":[52],"alternative;":[53],"however,":[54],"regular":[55],"red,":[56],"green,":[57],"blue":[59],"(RGB)":[60],"impacted":[63],"by":[64,216],"changing":[65],"lighting":[66],"conditions":[67],"privacy":[69],"concerns.":[70],"From":[71],"machine":[73],"learning":[74],"perspective,":[75],"developing":[76],"an":[77,176],"effective":[78],"fall":[79,94,173,195],"system":[81],"is":[82],"challenging":[83],"because":[84],"rarity":[87],"variability":[89],"falls.":[91],"Many":[92],"existing":[93],"datasets":[96],"lack":[97,115],"important":[98],"real-world":[99],"considerations,":[100],"such":[101,160],"as":[102,161,175],"varied":[103],"lighting,":[104],"continuous":[105],"activities":[106],"daily":[108],"living":[109],"(ADLs),":[110],"camera":[112,238],"placement.":[113],"The":[114],"considerations":[118],"makes":[119],"it":[120],"difficult":[121],"to":[122,233],"develop":[123],"predictive":[124],"models":[125],"that":[126,145,193,204],"operate":[128],"effectively":[129],"in":[130,168,180,240,243],"real":[132],"world.":[133],"To":[134],"address":[135],"limitations,":[137],"we":[138],"introduce":[139],"novel":[141],"multi-modality":[142],"dataset":[143],"(MUVIM)":[144],"contains":[146],"four":[147],"visual":[148],"modalities:":[149],"infra-red,":[150],"depth,":[151],"RGB":[152,224],"thermal":[154,217],"cameras.":[155],"These":[156],"modalities":[157,239],"offer":[158],"benefits":[159],"obfuscated":[162],"facial":[163],"features":[164],"improved":[166],"performance":[167,212],"low-light":[169],"conditions.":[170],"We":[171],"formulated":[172],"anomaly":[177],"problem,":[179],"which":[181],"customized":[183],"spatio-temporal":[184],"convolutional":[185],"autoencoder":[186],"was":[187],"trained":[188],"only":[189],"on":[190],"ADLs":[191],"so":[192],"would":[196],"increase":[197],"reconstruction":[199],"error.":[200],"Our":[201],"results":[202],"showed":[203],"infra-red":[205],"provided":[207],"highest":[209],"level":[210],"(AUC":[213,218,221,225],"ROC=0.94),":[214],"followed":[215],"ROC=0.87),":[219],"depth":[220],"ROC=0.86)":[222],"ROC=0.83).":[226],"This":[227],"research":[228],"provides":[229],"unique":[231],"opportunity":[232],"analyze":[234],"utility":[236],"detecting":[241],"home":[245],"setting":[246],"while":[247],"balancing":[248],"performance,":[249],"passiveness,":[250],"privacy.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}