{"id":"https://openalex.org/W4401960697","doi":"https://doi.org/10.3103/s0146411624700597","title":"Fall Monitoring System Based on Wearable Device and Improved KNN","display_name":"Fall Monitoring System Based on Wearable Device and Improved KNN","publication_year":2024,"publication_date":"2024-08-01","ids":{"openalex":"https://openalex.org/W4401960697","doi":"https://doi.org/10.3103/s0146411624700597"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411624700597","is_oa":false,"landing_page_url":"http://dx.doi.org/10.3103/s0146411624700597","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","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/A5113296918","display_name":"Shan Li","orcid":"https://orcid.org/0000-0001-5961-3969"},"institutions":[{"id":"https://openalex.org/I4750791","display_name":"Henan Agricultural University","ror":"https://ror.org/04eq83d71","country_code":"CN","type":"education","lineage":["https://openalex.org/I4750791"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shan Li","raw_affiliation_strings":["College of Landscape Architecture and Art, Henan Agricultural University, 450002, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Landscape Architecture and Art, Henan Agricultural University, 450002, Zhengzhou, China","institution_ids":["https://openalex.org/I4750791"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114054864","display_name":"Diyuan Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Diyuan Tan","raw_affiliation_strings":["School of Electro-mechanical Engineering, Zhongyuan Institute of Science and Technology, 461000, Xuchang, China"],"affiliations":[{"raw_affiliation_string":"School of Electro-mechanical Engineering, Zhongyuan Institute of Science and Technology, 461000, Xuchang, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111304999","display_name":"Binbin Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I4750791","display_name":"Henan Agricultural University","ror":"https://ror.org/04eq83d71","country_code":"CN","type":"education","lineage":["https://openalex.org/I4750791"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin Yao","raw_affiliation_strings":["College of Landscape Architecture and Art, Henan Agricultural University, 450002, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Landscape Architecture and Art, Henan Agricultural University, 450002, Zhengzhou, China","institution_ids":["https://openalex.org/I4750791"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073656517","display_name":"Zhe Wang","orcid":"https://orcid.org/0009-0000-1825-4015"},"institutions":[{"id":"https://openalex.org/I4750791","display_name":"Henan Agricultural University","ror":"https://ror.org/04eq83d71","country_code":"CN","type":"education","lineage":["https://openalex.org/I4750791"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Wang","raw_affiliation_strings":["College of Landscape Architecture and Art, Henan Agricultural University, 450002, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Landscape Architecture and Art, Henan Agricultural University, 450002, Zhengzhou, China","institution_ids":["https://openalex.org/I4750791"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113296918"],"corresponding_institution_ids":["https://openalex.org/I4750791"],"apc_list":null,"apc_paid":null,"fwci":0.245,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51450965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"58","issue":"4","first_page":"366","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9887999892234802,"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":0.9887999892234802,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9458000063896179,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9448999762535095,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.908015251159668},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7021321058273315},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.44453439116477966},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.43006670475006104},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38819485902786255},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.36566656827926636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.908015251159668},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7021321058273315},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.44453439116477966},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43006670475006104},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38819485902786255},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.36566656827926636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411624700597","is_oa":false,"landing_page_url":"http://dx.doi.org/10.3103/s0146411624700597","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2999986876","https://openalex.org/W3015936806","https://openalex.org/W3033490827","https://openalex.org/W3042741251","https://openalex.org/W3047828507","https://openalex.org/W3082988691","https://openalex.org/W3113920925","https://openalex.org/W3120599689","https://openalex.org/W3156014516","https://openalex.org/W3160396525","https://openalex.org/W3174230873","https://openalex.org/W3208404932","https://openalex.org/W4200424210","https://openalex.org/W4205967128","https://openalex.org/W4210565283","https://openalex.org/W4225742508","https://openalex.org/W4283206154","https://openalex.org/W4285242331","https://openalex.org/W4362519506"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2566526749","https://openalex.org/W2012157391","https://openalex.org/W2907667791","https://openalex.org/W2562087406","https://openalex.org/W3047461507","https://openalex.org/W3126390843"],"abstract_inverted_index":{"For":[0],"the":[1,11,15,25,30,35,45,83,88,92,110,133,136,139,167,188,193],"elderly,":[2,16],"falls":[3,33],"can":[4,41,131],"be":[5,42],"extremely":[6],"fatal.":[7],"However,":[8],"due":[9],"to":[10,20,24,81,160],"physical":[12],"decline":[13],"of":[14,48,87,192],"it":[17],"is":[18,79,113,126,148,158],"difficult":[19],"avoid":[21],"falls.":[22],"Therefore,":[23],"greatest":[26],"extent":[27],"feasible":[28],"lessen":[29],"harm":[31],"that":[32,39,166],"on":[34,53],"elderly":[36],"inflict,":[37],"so":[38],"they":[40],"found":[43],"in":[44,109,180],"first":[46],"time":[47],"falls,":[49],"this":[50],"study":[51],"based":[52],"wearable":[54],"devices,":[55],"proposed":[56,168],"a":[57],"fall":[58],"monitoring":[59],"system":[60],"using":[61],"an":[62],"improved":[63,68],"K-nearest":[64,70],"neighbor":[65,71],"algorithm.":[66],"The":[67,104,115,119,123,144,151],"fuzzy":[69],"algorithm":[72,78],"combined":[73],"with":[74],"support":[75],"vector":[76],"machine":[77],"applied":[80],"improve":[82],"efficiency":[84],"and":[85,90,96,176,190],"accuracy":[86,141],"algorithm,":[89],"reduce":[91],"false":[93,97,145,173,177],"positive":[94,174],"rate":[95,99,147,153,175,179],"negative":[98,152,178],"as":[100,102],"much":[101],"possible.":[103],"suggested":[105],"model\u2019s":[106],"average":[107,140],"precision":[108],"simulation":[111],"experiment":[112],"97.5%.":[114,122],"specificity":[116],"was":[117,121,154],"97.6%.":[118],"sensitivity":[120],"convergence":[124],"performance":[125,157],"also":[127],"good,":[128],"24":[129],"iterations":[130],"reach":[132],"optimal.":[134],"In":[135],"actual":[137],"experiment,":[138],"reached":[142],"98.7%;":[143],"alarm":[146],"only":[149],"0.7%;":[150],"2.5%;":[155],"Its":[156],"superior":[159],"other":[161],"two":[162],"algorithms.":[163],"This":[164],"shows":[165],"method":[169],"has":[170,184],"excellent":[171],"accuracy,":[172],"practical":[181],"application,":[182],"which":[183],"important":[185],"significance":[186],"for":[187],"health":[189],"safety":[191],"elderly.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}