{"id":"https://openalex.org/W2976713648","doi":"https://doi.org/10.1145/3354031.3354056","title":"Practical Fall Detection Algorithm based on Adaboost","display_name":"Practical Fall Detection Algorithm based on Adaboost","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2976713648","doi":"https://doi.org/10.1145/3354031.3354056","mag":"2976713648"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3354031.3354056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5083147259","display_name":"Wenqiang Cai","orcid":"https://orcid.org/0000-0002-0397-1043"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Cai","raw_affiliation_strings":["School of Electronic and Information Engineering, Soochow University, SuZhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Soochow University, SuZhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056599240","display_name":"Lishen Qiu","orcid":"https://orcid.org/0000-0002-0940-9596"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lishen Qiu","raw_affiliation_strings":["School of Electronic and Information Engineering, Soochow University, SuZhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Soochow University, SuZhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036887365","display_name":"Wanyue Li","orcid":"https://orcid.org/0000-0002-5468-6912"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanyue Li","raw_affiliation_strings":["School of Electronic and Information Engineering, Soochow University, SuZhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Soochow University, SuZhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100780330","display_name":"Jie Yu","orcid":"https://orcid.org/0000-0002-8130-2099"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yu","raw_affiliation_strings":["School of Electronic and Information Engineering, Soochow University, SuZhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Soochow University, SuZhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000497270","display_name":"Lirong Wang","orcid":"https://orcid.org/0000-0001-9503-2010"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lirong Wang","raw_affiliation_strings":["School of Electronic and Information Engineering, Soochow University, SuZhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Soochow University, SuZhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.338,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.626799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":77,"max":79},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9996,"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":0.9996,"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":0.9889,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9798,"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/adaboost","display_name":"AdaBoost","score":0.68783194},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.41948238}],"concepts":[{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.712703},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.68783194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62343085},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5400366},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.50824517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45946857},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.41948238},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.41425702},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.3726684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32779586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23622325},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3354031.3354056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.61,"display_name":"Affordable and clean energy"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":19,"referenced_works":["https://openalex.org/W1512614806","https://openalex.org/W179028102","https://openalex.org/W1967018481","https://openalex.org/W1976789043","https://openalex.org/W1988790447","https://openalex.org/W2008056655","https://openalex.org/W2039708501","https://openalex.org/W2046340070","https://openalex.org/W2051097274","https://openalex.org/W2083068858","https://openalex.org/W2104706302","https://openalex.org/W2112076978","https://openalex.org/W2149706766","https://openalex.org/W2170672895","https://openalex.org/W2336226252","https://openalex.org/W2342792048","https://openalex.org/W2821077224","https://openalex.org/W4236137412","https://openalex.org/W4240884187"],"related_works":["https://openalex.org/W4387977367","https://openalex.org/W4319437832","https://openalex.org/W4243803609","https://openalex.org/W2591672004","https://openalex.org/W2356463514","https://openalex.org/W2348694184","https://openalex.org/W2141272333","https://openalex.org/W2030894524","https://openalex.org/W1982169401","https://openalex.org/W102063058"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,70,98],"improve":[3],"the":[4,9,40,45,48,57,72,76,81,118,136,152],"accuracy":[5,116],"and":[6,79,92,124,128,147,159],"efficiency":[7],"of":[8,47,59,75],"fall":[10,15,60,101,161],"detection,":[11],"we":[12],"proposed":[13,138],"a":[14,100,143,157],"detection":[16,61,102,162],"algorithm":[17,58,112,137],"based":[18,104],"on":[19,105],"Adaboost":[20,106],"with":[21,88,107],"single-layer":[22,108],"decision":[23,109],"tree":[24],"under":[25],"six-axis":[26,77],"acceleration":[27,51,78],"(three-axis":[28],"acceleration,":[29],"three-axis":[30],"angular":[31],"acceleration)":[32],"time":[33,73,82],"features.":[34,83],"We":[35,84],"set":[36,120],"two":[37,55],"thresholds":[38],"for":[39],"resultant":[41,49],"linear":[42,50],"acceleration.":[43],"When":[44],"value":[46],"is":[52,63,68,134,156],"within":[53],"these":[54,95],"thresholds,":[56],"classifier":[62],"triggered.":[64],"The":[65,130],"fixed":[66],"window":[67],"used":[69,94],"intercept":[71],"waveform":[74],"extract":[80],"selected":[85],"seven":[86,96],"features":[87,97],"less":[89],"computational":[90,145],"complexity,":[91],"finally":[93],"construct":[99],"model":[103],"tree.":[110],"Our":[111],"can":[113,148],"achieve":[114],"99.08%":[115],"in":[117,139],"data":[119],"collected":[121],"by":[122],"ourselves,":[123],"has":[125,142],"high":[126],"specificity":[127],"sensitivity.":[129],"most":[131],"critical":[132],"point":[133],"that":[135],"this":[140],"paper":[141],"small":[144],"cost":[146],"be":[149],"transplanted":[150],"onto":[151],"embedded":[153],"system,":[154],"which":[155],"practical":[158],"reliability":[160],"method.":[163]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2976713648","counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2024-12-11T10:58:45.447287","created_date":"2019-10-03"}