{"id":"https://openalex.org/W2067190525","doi":"https://doi.org/10.4018/jiit.2013070102","title":"Associative Classification based Human Activity Recognition and Fall Detection using Accelerometer","display_name":"Associative Classification based Human Activity Recognition and Fall Detection using Accelerometer","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2067190525","doi":"https://doi.org/10.4018/jiit.2013070102","mag":"2067190525"},"language":"en","primary_location":{"id":"doi:10.4018/jiit.2013070102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jiit.2013070102","pdf_url":null,"source":{"id":"https://openalex.org/S116626079","display_name":"International Journal of Intelligent Information Technologies","issn_l":"1548-3657","issn":["1548-3657","1548-3665"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Information Technologies","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/A5041875808","display_name":"C. Sweetlin Hemalatha","orcid":null},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"C. Sweetlin Hemalatha","raw_affiliation_strings":["Department of Information Technology, Madras Institute of Technology, Anna University, Chennai, Tamil Nadu, India","Department of Information Technology, Madras Institute Of Technology, Anna University, Chennai, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Madras Institute of Technology, Anna University, Chennai, Tamil Nadu, India","institution_ids":["https://openalex.org/I33585257"]},{"raw_affiliation_string":"Department of Information Technology, Madras Institute Of Technology, Anna University, Chennai, Tamil Nadu, India","institution_ids":["https://openalex.org/I33585257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051485406","display_name":"V. Vaidehi","orcid":"https://orcid.org/0000-0002-2293-4934"},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Vaidehi","raw_affiliation_strings":["Department of Information Technology, Madras Institute of Technology, Anna University, Chennai, Tamil Nadu, India","Department of Information Technology, Madras Institute Of Technology, Anna University, Chennai, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Madras Institute of Technology, Anna University, Chennai, Tamil Nadu, India","institution_ids":["https://openalex.org/I33585257"]},{"raw_affiliation_string":"Department of Information Technology, Madras Institute Of Technology, Anna University, Chennai, Tamil Nadu, India","institution_ids":["https://openalex.org/I33585257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041875808"],"corresponding_institution_ids":["https://openalex.org/I33585257"],"apc_list":null,"apc_paid":null,"fwci":0.8165,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.76903558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":"3","first_page":"20","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9907000064849854,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/accelerometer","display_name":"Accelerometer","score":0.8125655651092529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7895604372024536},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6991655826568604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6401524543762207},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6122840642929077},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.6077600121498108},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5354806184768677},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.5306044220924377},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4587140679359436},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44465285539627075},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4381192922592163},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4308602511882782},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4114410877227783},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4060845673084259},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.13569840788841248},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0915897786617279}],"concepts":[{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.8125655651092529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7895604372024536},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6991655826568604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6401524543762207},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6122840642929077},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.6077600121498108},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5354806184768677},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.5306044220924377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4587140679359436},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44465285539627075},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4381192922592163},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4308602511882782},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4114410877227783},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4060845673084259},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.13569840788841248},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0915897786617279},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/jiit.2013070102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jiit.2013070102","pdf_url":null,"source":{"id":"https://openalex.org/S116626079","display_name":"International Journal of Intelligent Information Technologies","issn_l":"1548-3657","issn":["1548-3657","1548-3665"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Information Technologies","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jiit00:v:9:y:2013:i:3:p:20-37","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jiit.2013070102","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320719","display_name":"Department of Science and Technology, Ministry of Science and Technology, India","ror":"https://ror.org/0101xrq71"},{"id":"https://openalex.org/F4320334774","display_name":"Natural Resources Data Management System","ror":"https://ror.org/03xsjat94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1974633969","https://openalex.org/W1977981256","https://openalex.org/W1984489625","https://openalex.org/W1988793358","https://openalex.org/W1999714678","https://openalex.org/W1999736501","https://openalex.org/W2006683254","https://openalex.org/W2007882431","https://openalex.org/W2015245597","https://openalex.org/W2074014862","https://openalex.org/W2081241079","https://openalex.org/W2104157951","https://openalex.org/W2105046342","https://openalex.org/W2105347536","https://openalex.org/W2114469075","https://openalex.org/W2127047501","https://openalex.org/W2128628418","https://openalex.org/W2145784365","https://openalex.org/W2154642793","https://openalex.org/W2156233342","https://openalex.org/W2161826908","https://openalex.org/W2166559705","https://openalex.org/W2168538666","https://openalex.org/W2170672895","https://openalex.org/W2357451018","https://openalex.org/W2998574808","https://openalex.org/W3140942594","https://openalex.org/W6638019532"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W2099261052","https://openalex.org/W3209204065","https://openalex.org/W2353818951","https://openalex.org/W3195649134","https://openalex.org/W1605879311","https://openalex.org/W2105707930","https://openalex.org/W1755711892","https://openalex.org/W2160907113"],"abstract_inverted_index":{"Human":[0],"fall":[1,28,59],"poses":[2],"serious":[3],"health":[4],"risks":[5],"especially":[6],"among":[7],"aged":[8],"people.":[9],"The":[10,139,189],"rate":[11],"of":[12,14,42,56,170],"growth":[13],"elderly":[15],"population":[16,20],"to":[17,32,79],"the":[18,57,87,106,112,173],"total":[19],"is":[21,98],"increasing":[22],"every":[23],"year.":[24],"Besides":[25],"causing":[26],"injuries,":[27],"may":[29,77],"even":[30],"lead":[31],"death":[33],"if":[34],"not":[35],"attended":[36],"immediately.":[37],"This":[38,115],"demands":[39],"continuous":[40],"monitoring":[41],"human":[43,135],"movements":[44],"and":[45,83,89,182],"classifying":[46,111],"normal":[47],"low-level":[48,134],"activities":[49,136],"from":[50,137,158],"abnormal":[51],"event":[52],"like":[53],"fall.":[54,138],"Most":[55],"existing":[58],"detection":[60],"methods":[61],"employ":[62],"traditional":[63],"classifiers":[64,76],"such":[65],"as":[66],"decision":[67],"trees,":[68],"Bayesian":[69],"Networks,":[70],"Support":[71],"Vector":[72],"Machine":[73],"etc.":[74],"These":[75],"miss":[78],"cover":[80],"certain":[81],"hidden":[82],"interesting":[84],"patterns":[85,109],"in":[86,196],"data":[88,157],"thus":[90],"suffer":[91],"high":[92],"false":[93],"positives":[94],"rates.":[95],"Hence,":[96],"there":[97],"a":[99,102,118,166],"need":[100],"for":[101,146,179,186],"classifier":[103],"that":[104,132,164],"considers":[105],"association":[107],"between":[108],"while":[110],"input":[113],"instance.":[114],"paper":[116],"presents":[117],"pattern":[119],"mining":[120],"based":[121,128],"classification":[122],"algorithm":[123,175,190],"called":[124],"Frequent":[125],"Bit":[126],"Pattern":[127],"Associative":[129],"Classification":[130],"(FBPAC)":[131],"distinguishes":[133],"proposed":[140,174],"system":[141],"utilizes":[142],"single":[143],"tri-axial":[144,159],"accelerometer":[145],"capturing":[147],"motion":[148],"data.":[149],"Empirical":[150],"studies":[151],"are":[152],"conducted":[153],"by":[154],"collecting":[155],"real":[156,197],"accelerometer.":[160],"Experimental":[161],"results":[162],"show":[163],"within":[165],"time-sensitive":[167],"sliding":[168],"window":[169],"10":[171],"seconds,":[172],"achieves":[176],"99%":[177],"accuracy":[178,185,193],"independent":[180],"activity":[181,187],"92%":[183],"overall":[184],"sequence.":[188],"gives":[191],"reasonable":[192],"when":[194],"tested":[195],"time.":[198]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
