{"id":"https://openalex.org/W6926133467","doi":"https://doi.org/10.21227/21qt-ye20","title":"\"Fall Detection Dataset for Multiclass Classification\"","display_name":"\"Fall Detection Dataset for Multiclass Classification\"","publication_year":2025,"publication_date":"2025-07-04","ids":{"openalex":"https://openalex.org/W6926133467","doi":"https://doi.org/10.21227/21qt-ye20"},"language":"en","primary_location":{"id":"doi:10.21227/21qt-ye20","is_oa":true,"landing_page_url":"https://doi.org/10.21227/21qt-ye20","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/21qt-ye20","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Senthil Kumar Thangavel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Senthil Kumar Thangavel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Tirumala Kumar Kandukuru","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tirumala Kumar Kandukuru","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Selvanayaki  Kolandapalayam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Selvanayaki  Kolandapalayam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Adeyemi Abel Ajibesin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adeyemi Abel Ajibesin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Vasan Sowriraja","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vasan Sowriraja","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Dhanushkrishna R","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dhanushkrishna R","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Madhavan R","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Madhavan R","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Charan Kumar A","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Charan Kumar A","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Aravind Kumaar A","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aravind Kumaar A","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Athithya S","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Athithya S","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Visharaad S","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Visharaad S","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Nalesh Kumar B","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nalesh Kumar B","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Aagash J","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aagash J","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Harish Krishna M","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harish Krishna M","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Karthickthasan S","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karthickthasan S","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":15,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11879","display_name":"Protist diversity and phylogeny","score":0.2061000019311905,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11879","display_name":"Protist diversity and phylogeny","score":0.2061000019311905,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11985","display_name":"Marine Toxins and Detection Methods","score":0.07989999651908875,"subfield":{"id":"https://openalex.org/subfields/2304","display_name":"Environmental Chemistry"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10236","display_name":"Aquatic Ecosystems and Phytoplankton Dynamics","score":0.04540000110864639,"subfield":{"id":"https://openalex.org/subfields/2304","display_name":"Environmental Chemistry"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5946999788284302},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.32499998807907104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.31929999589920044},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2906000018119812},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.28760001063346863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6442999839782715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6141999959945679},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5946999788284302},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39890000224113464},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3416000008583069},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.32499998807907104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.28760001063346863},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26980000734329224},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/21qt-ye20","is_oa":true,"landing_page_url":"https://doi.org/10.21227/21qt-ye20","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/21qt-ye20","is_oa":true,"landing_page_url":"https://doi.org/10.21227/21qt-ye20","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[{"score":0.7025179862976074,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"\"&nbsp;This":[0],"dataset":[1,48],"was":[2],"created":[3],"as":[4],"part":[5],"of":[6,39,54,63],"the":[7,13,52],"DeFall":[8],"project":[9],"and":[10,24,32,44],"shot":[11],"at":[12],"MAGIC":[14],"(MulticoreWare":[15],"Academia":[16],"Global":[17],"Innovation":[18],"Centre)":[19],"Lab.":[20],"It":[21],"supports":[22],"research":[23],"development":[25],"in":[26],"fall":[27,55],"detection":[28,56],"using":[29],"computer":[30],"vision":[31],"machine":[33],"learning,":[34],"including":[35],"9":[36],"distinct":[37],"classes":[38],"activities":[40],"related":[41],"to":[42,50],"falls":[43],"non-fall":[45],"events.":[46],"The":[47],"aims":[49],"enhance":[51],"robustness":[53],"systems":[57],"by":[58],"providing":[59],"a":[60],"diverse":[61],"range":[62],"scenarios.\"":[64]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
