{"id":"https://openalex.org/W3090172915","doi":"https://doi.org/10.1109/ucet51115.2020.9205414","title":"A Novel Random Neural Network-based Fall Activity Recognition","display_name":"A Novel Random Neural Network-based Fall Activity Recognition","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3090172915","doi":"https://doi.org/10.1109/ucet51115.2020.9205414","mag":"3090172915"},"language":"en","primary_location":{"id":"doi:10.1109/ucet51115.2020.9205414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ucet51115.2020.9205414","pdf_url":null,"source":{"id":"https://openalex.org/S4306498727","display_name":"2020 International Conference on UK-China Emerging Technologies (UCET)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on UK-China Emerging Technologies (UCET)","raw_type":"proceedings-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/A5018813142","display_name":"Syed Yaseen Shah","orcid":"https://orcid.org/0000-0003-2799-1791"},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Syed Yaseen Shah","raw_affiliation_strings":["School of Computing, Engineering and Built Environment, Glasgow Caledonian University, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Built Environment, Glasgow Caledonian University, United Kingdom","institution_ids":["https://openalex.org/I195939026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083724607","display_name":"Hadi Larijani","orcid":"https://orcid.org/0000-0002-6826-207X"},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hadi Larijani","raw_affiliation_strings":["School of Computing, Engineering and Built Environment, Glasgow Caledonian University, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Built Environment, Glasgow Caledonian University, United Kingdom","institution_ids":["https://openalex.org/I195939026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059894737","display_name":"Ryan M. Gibson","orcid":"https://orcid.org/0000-0003-1845-1750"},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ryan Gibson","raw_affiliation_strings":["School of Computing, Engineering and Built Environment, Glasgow Caledonian University, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Built Environment, Glasgow Caledonian University, United Kingdom","institution_ids":["https://openalex.org/I195939026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057410086","display_name":"Dimitrios Liarokapis","orcid":"https://orcid.org/0000-0002-0206-6252"},"institutions":[{"id":"https://openalex.org/I195939026","display_name":"Glasgow Caledonian University","ror":"https://ror.org/03dvm1235","country_code":"GB","type":"education","lineage":["https://openalex.org/I195939026"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dimitrios Liarokapis","raw_affiliation_strings":["School of Computing, Engineering and Built Environment, Glasgow Caledonian University, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Built Environment, Glasgow Caledonian University, United Kingdom","institution_ids":["https://openalex.org/I195939026"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018813142"],"corresponding_institution_ids":["https://openalex.org/I195939026"],"apc_list":null,"apc_paid":null,"fwci":0.1635,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48434926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9934999942779541,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7479504942893982},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7201145887374878},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6593668460845947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6326264142990112},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5768650770187378},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5480310320854187},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5432324409484863},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.523584246635437},{"id":"https://openalex.org/keywords/life-expectancy","display_name":"Life expectancy","score":0.5046359300613403},{"id":"https://openalex.org/keywords/dementia","display_name":"Dementia","score":0.42322662472724915},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41453126072883606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0965624749660492},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.08962026238441467}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479504942893982},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7201145887374878},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6593668460845947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6326264142990112},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5768650770187378},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5480310320854187},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5432324409484863},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.523584246635437},{"id":"https://openalex.org/C133925201","wikidata":"https://www.wikidata.org/wiki/Q188419","display_name":"Life expectancy","level":3,"score":0.5046359300613403},{"id":"https://openalex.org/C2779483572","wikidata":"https://www.wikidata.org/wiki/Q83030","display_name":"Dementia","level":3,"score":0.42322662472724915},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41453126072883606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0965624749660492},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.08962026238441467},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ucet51115.2020.9205414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ucet51115.2020.9205414","pdf_url":null,"source":{"id":"https://openalex.org/S4306498727","display_name":"2020 International Conference on UK-China Emerging Technologies (UCET)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on UK-China Emerging Technologies (UCET)","raw_type":"proceedings-article"},{"id":"pmh:oai:researchonline.gcu.ac.uk:openaire_cris_publications/f591eca1-ae1f-4533-bb15-a7f4313171a5","is_oa":false,"landing_page_url":"https://researchonline.gcu.ac.uk/en/publications/f591eca1-ae1f-4533-bb15-a7f4313171a5","pdf_url":null,"source":{"id":"https://openalex.org/S4306402566","display_name":"ResearchOnline (Glasgow Caledonian University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I195939026","host_organization_name":"Glasgow Caledonian University","host_organization_lineage":["https://openalex.org/I195939026"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Shah, S Y, Larijani, H, Gibson, R & Liarokapis, D 2020, A novel random neural network-based fall activity recognition. in 2020 International Conference on UK-China Emerging Technologies, UCET 2020. IEEE, 5th International Conference on the UK-China Emerging Technologies (UCET) 2020, 20/08/20. https://doi.org/10.1109/UCET51115.2020.9205414","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1566752807","https://openalex.org/W1970049226","https://openalex.org/W2010470943","https://openalex.org/W2076068958","https://openalex.org/W2135720347","https://openalex.org/W2171145593","https://openalex.org/W2617053505","https://openalex.org/W2765988397","https://openalex.org/W2896783937","https://openalex.org/W2913456929","https://openalex.org/W2921689585","https://openalex.org/W2933912020","https://openalex.org/W2940010537","https://openalex.org/W2950883524","https://openalex.org/W2969215313","https://openalex.org/W2999149473","https://openalex.org/W3022953390","https://openalex.org/W3103585945"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W16271281","https://openalex.org/W2409059799","https://openalex.org/W2964335273"],"abstract_inverted_index":{"The":[0],"past":[1],"few":[2],"decades":[3],"have":[4,78],"witnessed":[5],"a":[6,13,52,80,128,169],"sharp":[7],"increase":[8],"in":[9],"life":[10],"expectancy.":[11],"As":[12],"result,":[14],"the":[15,34,93,118,124,146,162,173,177,180],"proportion":[16],"of":[17,36,55,131,179],"elderly":[18,43],"people":[19],"is":[20,121,165],"increasing":[21,33],"worldwide.":[22],"Consequently,":[23],"Dementia":[24],"and":[25,60,110,142,172],"Parkinson's":[26],"disease":[27],"are":[28,65,97],"expected":[29],"to":[30,50,71],"rise,":[31],"thereby":[32],"risk":[35],"critical":[37],"events":[38],"such":[39,104,137],"as":[40,105,138],"falls":[41],"for":[42,57],"people.":[44],"This":[45],"has":[46,127,149],"prompted":[47],"many":[48],"researchers":[49],"develop":[51],"wide":[53],"range":[54],"solutions":[56,64],"fall":[58,87],"detection":[59,88],"prevention.":[61],"However,":[62],"these":[63],"either":[66],"inaccurate":[67],"or":[68],"impractical":[69],"due":[70],"hardware":[72],"complexity.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77],"proposed":[79,94,125,147,163,181],"novel":[81],"Random":[82],"Neural":[83,113],"Network":[84,114],"(RNN)":[85],"based":[86],"scheme.":[89,182],"Results":[90],"obtained":[91,174],"from":[92],"RNN-based":[95],"scheme":[96,126,171],"compared":[98,154,167],"with":[99,155,168],"traditional":[100,111,157],"machine":[101,158],"learning":[102,159],"methods":[103],"Support":[106],"Vector":[107],"Machine":[108],"(SVM)":[109],"Artificial":[112],"(ANN)":[115],"etc.":[116],"From":[117],"results,":[119],"it":[120],"evident":[122],"that":[123,145],"higher":[129],"accuracy":[130],"98%.":[132],"Additionally,":[133],"several":[134],"other":[135,156],"parameters":[136],"precision,":[139],"recall,":[140],"specificity,":[141],"F-measure":[143],"show":[144],"algorithm":[148],"better":[150],"generalisation":[151],"capabilities":[152],"when":[153],"schemes.":[160],"Furthermore,":[161],"RNN":[164],"also":[166],"recent":[170],"results":[175],"demonstrate":[176],"superiority":[178]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}