{"id":"https://openalex.org/W2989302929","doi":"https://doi.org/10.23919/iconac.2019.8895065","title":"Using Machine Learning Techniques to Optimize Fall Detection Algorithms in Smart Wristband","display_name":"Using Machine Learning Techniques to Optimize Fall Detection Algorithms in Smart Wristband","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2989302929","doi":"https://doi.org/10.23919/iconac.2019.8895065","mag":"2989302929"},"language":"en","primary_location":{"id":"doi:10.23919/iconac.2019.8895065","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iconac.2019.8895065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 25th International Conference on Automation and Computing (ICAC)","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/A5061928568","display_name":"Zheng Ge","orcid":"https://orcid.org/0000-0002-9983-7120"},"institutions":[{"id":"https://openalex.org/I9300472","display_name":"Bournemouth University","ror":"https://ror.org/05wwcw481","country_code":"GB","type":"education","lineage":["https://openalex.org/I9300472"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ge Zheng","raw_affiliation_strings":["Bournemouth University,Department of Computing and Informatics,Dorset,U.K,BH12 5BB","Department of Computing and Informatics, Bournemouth University, Dorset, U.K"],"affiliations":[{"raw_affiliation_string":"Bournemouth University,Department of Computing and Informatics,Dorset,U.K,BH12 5BB","institution_ids":["https://openalex.org/I9300472"]},{"raw_affiliation_string":"Department of Computing and Informatics, Bournemouth University, Dorset, U.K","institution_ids":["https://openalex.org/I9300472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400402","display_name":"Hongtao Zhang","orcid":"https://orcid.org/0000-0003-0201-7554"},"institutions":[{"id":"https://openalex.org/I316699675","display_name":"Hodges University","ror":"https://ror.org/00s8h5d08","country_code":"US","type":"education","lineage":["https://openalex.org/I316699675"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongtao Zhang","raw_affiliation_strings":["August International Limited,Hoddesdon,U.K,EN11 0EE","August International Limited, Hoddesdon, U.K"],"affiliations":[{"raw_affiliation_string":"August International Limited,Hoddesdon,U.K,EN11 0EE","institution_ids":["https://openalex.org/I316699675"]},{"raw_affiliation_string":"August International Limited, Hoddesdon, U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063141632","display_name":"Keming Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I316699675","display_name":"Hodges University","ror":"https://ror.org/00s8h5d08","country_code":"US","type":"education","lineage":["https://openalex.org/I316699675"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keming Zhou","raw_affiliation_strings":["August International Limited,Hoddesdon,U.K,EN11 0EE","August International Limited, Hoddesdon, U.K"],"affiliations":[{"raw_affiliation_string":"August International Limited,Hoddesdon,U.K,EN11 0EE","institution_ids":["https://openalex.org/I316699675"]},{"raw_affiliation_string":"August International Limited, Hoddesdon, U.K","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600900","display_name":"Huosheng Hu","orcid":"https://orcid.org/0000-0001-5797-1412"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huosheng Hu","raw_affiliation_strings":["University of Essex,Department of Computer Science and Electronics Engineering,Colchester,U.K,CO4 3SQ","Department of Computer Science and Electronics Engineering, University of Essex, Colchester, U.K"],"affiliations":[{"raw_affiliation_string":"University of Essex,Department of Computer Science and Electronics Engineering,Colchester,U.K,CO4 3SQ","institution_ids":["https://openalex.org/I110002522"]},{"raw_affiliation_string":"Department of Computer Science and Electronics Engineering, University of Essex, Colchester, U.K","institution_ids":["https://openalex.org/I110002522"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061928568"],"corresponding_institution_ids":["https://openalex.org/I9300472"],"apc_list":null,"apc_paid":null,"fwci":0.3065,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61972319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9968000054359436,"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":0.9968000054359436,"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":0.9894000291824341,"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":0.9624999761581421,"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":0.7163472771644592},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6833783984184265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.662265956401825},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6620314717292786},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6331090331077576},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.5740480422973633},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5562891960144043},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5334914326667786},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4902956783771515},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.428615003824234},{"id":"https://openalex.org/keywords/units-of-measurement","display_name":"Units of measurement","score":0.4115681052207947},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.16937407851219177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7163472771644592},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6833783984184265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.662265956401825},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6620314717292786},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6331090331077576},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.5740480422973633},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5562891960144043},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5334914326667786},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4902956783771515},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.428615003824234},{"id":"https://openalex.org/C151233233","wikidata":"https://www.wikidata.org/wiki/Q47574","display_name":"Units of measurement","level":2,"score":0.4115681052207947},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.16937407851219177},{"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":2,"locations":[{"id":"doi:10.23919/iconac.2019.8895065","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iconac.2019.8895065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 25th International Conference on Automation and Computing (ICAC)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.essex.ac.uk:27634","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401236","display_name":"Open Access at Essex (University of Essex)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I110002522","host_organization_name":"University of Essex","host_organization_lineage":["https://openalex.org/I110002522"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1569512666","https://openalex.org/W1988993427","https://openalex.org/W2007717933","https://openalex.org/W2104706302","https://openalex.org/W2184190733","https://openalex.org/W2273396394","https://openalex.org/W2305982171","https://openalex.org/W2319308093","https://openalex.org/W2737699902","https://openalex.org/W2768371328","https://openalex.org/W2779297249","https://openalex.org/W2793136243","https://openalex.org/W3184998487","https://openalex.org/W6675277865","https://openalex.org/W6741449469","https://openalex.org/W7038994942"],"related_works":["https://openalex.org/W1967422967","https://openalex.org/W2029881158","https://openalex.org/W3196140453","https://openalex.org/W2978426962","https://openalex.org/W3044242125","https://openalex.org/W2768468910","https://openalex.org/W2037990170","https://openalex.org/W2999148748","https://openalex.org/W4206790194","https://openalex.org/W2092597637"],"abstract_inverted_index":{"The":[0],"consumer":[1],"electronics":[2],"market":[3],"is":[4,104,123],"already":[5],"saturated":[6],"with":[7,98,145],"wearable":[8],"devices":[9],"that":[10,136],"intend":[11],"to":[12,15,62,111,126],"be":[13],"used":[14,105,125,151],"detect":[16],"falls":[17,116],"and":[18,46,68,89,114,128,148],"request":[19],"help":[20],"from":[21,117],"carers":[22],"or":[23],"family":[24],"members.":[25],"However,":[26],"these":[27],"products":[28],"have":[29],"a":[30,58,99,107],"high":[31,44,47],"rate":[32],"of":[33,49,109],"false":[34,71],"alarms":[35],"which":[36],"affect":[37],"their":[38],"reliable":[39],"performance.":[40],"To":[41],"provide":[42],"the":[43,53,64,70,83,137,141,149,153],"accuracy":[45,67,143],"precision":[48],"fall":[50,65],"detection":[51,66],"for":[52],"elderly,":[54],"this":[55,80],"paper":[56],"presents":[57],"machine":[59,74,130],"learning":[60,75,131],"approach":[61],"improve":[63],"reduce":[69],"alarms.":[72],"Three":[73],"algorithms":[76],"are":[77],"deployed":[78],"in":[79,152],"research,":[81],"namely":[82],"K-Means,":[84],"Perceptron":[85],"Neural":[86,91],"Network":[87,92],"(PNN),":[88],"Convolutional":[90],"(CNN)":[93],"algorithms.":[94,132],"A":[95],"development":[96],"board":[97],"9-axis":[100],"inertial":[101],"sensor":[102],"unit":[103],"as":[106],"prototype":[108],"wristband":[110],"collect":[112],"data":[113,122],"identify":[115],"seven":[118],"daily":[119],"activities.":[120],"These":[121],"then":[124],"train":[127],"test":[129],"Experimental":[133],"results":[134],"show":[135],"CNN":[138],"algorithm":[139,150],"achieves":[140],"highest":[142],"comparing":[144],"K-mean,":[146],"PNN":[147],"existing":[154],"wristbands.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
