{"id":"https://openalex.org/W4226276237","doi":"https://doi.org/10.1109/tcds.2022.3157813","title":"Fall-Perceived Action Recognition of Persons With Neurological Disorders Using Semantic Supervision","display_name":"Fall-Perceived Action Recognition of Persons With Neurological Disorders Using Semantic Supervision","publication_year":2022,"publication_date":"2022-03-09","ids":{"openalex":"https://openalex.org/W4226276237","doi":"https://doi.org/10.1109/tcds.2022.3157813"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2022.3157813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2022.3157813","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Cognitive and Developmental Systems","raw_type":"journal-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/A5021223875","display_name":"Nitika Nigam","orcid":"https://orcid.org/0000-0001-7389-6168"},"institutions":[{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nitika Nigam","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India"],"raw_orcid":"https://orcid.org/0000-0001-7389-6168","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India","institution_ids":["https://openalex.org/I91357014"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088215863","display_name":"Tanima Dutta","orcid":"https://orcid.org/0000-0002-2801-0687"},"institutions":[{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tanima Dutta","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India"],"raw_orcid":"https://orcid.org/0000-0002-2801-0687","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India","institution_ids":["https://openalex.org/I91357014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065591554","display_name":"Deepali Verma","orcid":"https://orcid.org/0000-0002-7916-8441"},"institutions":[{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepali Verma","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India"],"raw_orcid":"https://orcid.org/0000-0002-7916-8441","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India","institution_ids":["https://openalex.org/I91357014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3046,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.52966264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"15","issue":"1","first_page":"242","last_page":"251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973000288009644,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7350854277610779},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6441835761070251},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5609860420227051},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39833855628967285},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36392587423324585},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.35863029956817627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32231616973876953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7350854277610779},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6441835761070251},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5609860420227051},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39833855628967285},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36392587423324585},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35863029956817627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32231616973876953},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2022.3157813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2022.3157813","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320330011","display_name":"Indian Institute of Technology (BHU) Varanasi","ror":null},{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1996980232","https://openalex.org/W2009938720","https://openalex.org/W2040851961","https://openalex.org/W2074526674","https://openalex.org/W2118978333","https://openalex.org/W2126579184","https://openalex.org/W2156303437","https://openalex.org/W2162076713","https://openalex.org/W2295107390","https://openalex.org/W2507009361","https://openalex.org/W2601564443","https://openalex.org/W2619947201","https://openalex.org/W2625366777","https://openalex.org/W2745519816","https://openalex.org/W2770804203","https://openalex.org/W2799176631","https://openalex.org/W2800342439","https://openalex.org/W2805434138","https://openalex.org/W2806331055","https://openalex.org/W2809562466","https://openalex.org/W2883429621","https://openalex.org/W2887051120","https://openalex.org/W2914828435","https://openalex.org/W2948048211","https://openalex.org/W2963026686","https://openalex.org/W2963307106","https://openalex.org/W2963351448","https://openalex.org/W2963457877","https://openalex.org/W2963524571","https://openalex.org/W2963691377","https://openalex.org/W2963840672","https://openalex.org/W2963986337","https://openalex.org/W2981385151","https://openalex.org/W2984192355","https://openalex.org/W2990152177","https://openalex.org/W3034630387","https://openalex.org/W3109304426","https://openalex.org/W3118589616","https://openalex.org/W3126721948","https://openalex.org/W3146947661","https://openalex.org/W3173621652","https://openalex.org/W3174226175","https://openalex.org/W3174568846","https://openalex.org/W4245807786","https://openalex.org/W6677326919","https://openalex.org/W6682864246","https://openalex.org/W6696085341","https://openalex.org/W6742667445","https://openalex.org/W6754337694","https://openalex.org/W6762876521","https://openalex.org/W6769710835","https://openalex.org/W6790307280","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W2084487854","https://openalex.org/W2353878298","https://openalex.org/W4205118967","https://openalex.org/W2077682749","https://openalex.org/W2298450300","https://openalex.org/W2374729771","https://openalex.org/W2963155035","https://openalex.org/W3200334421","https://openalex.org/W1576128429","https://openalex.org/W2269464716"],"abstract_inverted_index":{"Frequent":[0],"uncertain":[1,100,116],"falls":[2],"is":[3],"one":[4],"of":[5,9,47,99,115,184,193,204],"the":[6,18,44,48,97,112,126,131,144],"common":[7],"cause":[8],"injury":[10],"among":[11],"elderly":[12],"adults":[13],"and":[14,61,76,130,159,211],"persons":[15],"suffering":[16,42,72],"from":[17,43,73],"neurological":[19,49,74],"disorder.":[20,50],"It":[21,64,123],"will":[22],"be":[23,57],"costlier":[24],"to":[25,67,103,142,174],"go":[26],"through":[27,118],"<inline-formula":[28],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[29],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[30],"<tex-math":[31],"notation=\"LaTeX\">$24\\times":[32],"7$":[33],"</tex-math></inline-formula>":[34],"medical":[35],"monitoring":[36],"if":[37],"we":[38,84,170],"monitor":[39,69],"a":[40,58,70,86,138,176],"person":[41,71],"early":[45],"stage":[46],"An":[51],"\u201cuncertain\u201d":[52],"action":[53,88,117,167,188],"classification":[54],"model":[55,141],"can":[56,65],"less":[59,165],"costly":[60],"easily":[62],"scalable.":[63],"help":[66],"regularly":[68],"declines":[75],"how":[77],"frequent":[78],"it":[79],"relapse.":[80],"In":[81],"this":[82],"article,":[83],"propose":[85],"video-based":[87],"recognition":[89],"with":[90,190],"fall":[91],"detection":[92],"architecture,":[93],"FallNet,":[94],"which":[95],"learns":[96],"features":[98],"actions":[101],"related":[102],"day-to-day":[104],"activities.":[105],"FallNet":[106],"first":[107],"incorporates":[108],"semantic":[109],"supervision":[110],"using":[111],"per-class":[113],"weight":[114],"class-wise":[119],"weighted":[120],"focal":[121],"loss.":[122],"addresses":[124],"both":[125],"class":[127],"imbalance":[128],"problem":[129],"weak":[132],"interclass":[133],"separability":[134],"issue.":[135],"We":[136,152],"design":[137],"joint":[139],"training":[140],"train":[143],"overall":[145],"architecture":[146],"efficiently":[147],"in":[148,206,209,213],"an":[149,191,202],"end-to-end":[150],"manner.":[151],"utilize":[153],"benchmark":[154],"data":[155,177,215],"sets,":[156],"OOPS,":[157],"HMDB51,":[158,210],"Kinetics-600,":[160],"for":[161],"experimentation":[162],"that":[163,182],"has":[164],"falling":[166,187],"videos.":[168],"Therefore,":[169],"have":[171],"collected":[172],"videos":[173,195],"create":[175],"set,":[178],"denoted":[179],"by":[180],"FallAction,":[181],"consists":[183],"different":[185],"15":[186],"classes":[189],"average":[192],"100":[194],"per":[196],"class.":[197],"The":[198],"proposed":[199],"network":[200],"gain":[201],"accuracy":[203],"13.2%":[205],"OOPs,":[207],"2%":[208],"0.2%":[212],"Kinetics-600":[214],"set.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}