{"id":"https://openalex.org/W3082505102","doi":"https://doi.org/10.1109/embc44109.2020.9176347","title":"Recurrence Quantification Analysis for Human Activity Recognition","display_name":"Recurrence Quantification Analysis for Human Activity Recognition","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3082505102","doi":"https://doi.org/10.1109/embc44109.2020.9176347","mag":"3082505102","pmid":"https://pubmed.ncbi.nlm.nih.gov/33019022"},"language":"en","primary_location":{"id":"doi:10.1109/embc44109.2020.9176347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9176347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Recurrence_quantification_analysis_for_human_activity_recognition/20688712","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081086550","display_name":"Thang Ngo","orcid":"https://orcid.org/0000-0003-3218-4468"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Thang Ngo","raw_affiliation_strings":["School of Engineering, Deakin University, Waurn Ponds, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Deakin University, Waurn Ponds, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114889272","display_name":"Benjamin Champion","orcid":"https://orcid.org/0000-0001-9159-8404"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Benjamin T. Champion","raw_affiliation_strings":["School of Engineering, Deakin University, Waurn Ponds, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Deakin University, Waurn Ponds, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082832188","display_name":"Matthew Joordens","orcid":"https://orcid.org/0000-0003-2253-4428"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Matthew A. Joordens","raw_affiliation_strings":["School of Engineering, Deakin University, Waurn Ponds, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Deakin University, Waurn Ponds, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103782722","display_name":"Andrew Price","orcid":null},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Andrew Price","raw_affiliation_strings":["School of Engineering, Deakin University, Waurn Ponds, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Deakin University, Waurn Ponds, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027373899","display_name":"David Morton","orcid":"https://orcid.org/0000-0002-1491-6517"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"David Morton","raw_affiliation_strings":["School of Engineering, Deakin University, Waurn Ponds, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Deakin University, Waurn Ponds, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037113249","display_name":"Pubudu N. Pathirana","orcid":"https://orcid.org/0000-0001-8014-7798"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Pubudu N. Pathirana","raw_affiliation_strings":["School of Engineering, Deakin University, Waurn Ponds, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Deakin University, Waurn Ponds, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5081086550"],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09775171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"2020","issue":null,"first_page":"4616","last_page":"4619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9707000255584717,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9693999886512756,"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/recurrence-quantification-analysis","display_name":"Recurrence quantification analysis","score":0.931126594543457},{"id":"https://openalex.org/keywords/recurrence-plot","display_name":"Recurrence plot","score":0.6991226077079773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6907033324241638},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6678808331489563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6581799983978271},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.653181791305542},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6039345264434814},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5574286580085754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5015659332275391},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4884282648563385},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4410148561000824},{"id":"https://openalex.org/keywords/plot","display_name":"Plot (graphics)","score":0.419153094291687},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3359665274620056},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.249068021774292},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18130481243133545},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13917240500450134}],"concepts":[{"id":"https://openalex.org/C43456602","wikidata":"https://www.wikidata.org/wiki/Q7303254","display_name":"Recurrence quantification analysis","level":3,"score":0.931126594543457},{"id":"https://openalex.org/C173134143","wikidata":"https://www.wikidata.org/wiki/Q2797953","display_name":"Recurrence plot","level":3,"score":0.6991226077079773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6907033324241638},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6678808331489563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6581799983978271},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.653181791305542},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6039345264434814},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5574286580085754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5015659332275391},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4884282648563385},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4410148561000824},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.419153094291687},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3359665274620056},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.249068021774292},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18130481243133545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13917240500450134},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/embc44109.2020.9176347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9176347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:33019022","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33019022","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:dro.deakin.edu.au:DU:30143329","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20688712","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Recurrence_quantification_analysis_for_human_activity_recognition/20688712","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20688712","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Recurrence_quantification_analysis_for_human_activity_recognition/20688712","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2014084036","https://openalex.org/W2026871377","https://openalex.org/W2046255129","https://openalex.org/W2081681829","https://openalex.org/W2082290707","https://openalex.org/W2114868488","https://openalex.org/W2143729380","https://openalex.org/W2143763216","https://openalex.org/W2146948596","https://openalex.org/W2163159047","https://openalex.org/W2166712377","https://openalex.org/W2294916050","https://openalex.org/W2533474511","https://openalex.org/W2773128815","https://openalex.org/W2799494318","https://openalex.org/W2894986515","https://openalex.org/W2897125182","https://openalex.org/W2902240649","https://openalex.org/W2946273500","https://openalex.org/W3161094935","https://openalex.org/W4289293306","https://openalex.org/W4300981016","https://openalex.org/W6746415274","https://openalex.org/W6756223733"],"related_works":["https://openalex.org/W4236831073","https://openalex.org/W4385146532","https://openalex.org/W2128285247","https://openalex.org/W4309197050","https://openalex.org/W4310481254","https://openalex.org/W2950325250","https://openalex.org/W1870609992","https://openalex.org/W4297688580","https://openalex.org/W2889018780","https://openalex.org/W2952356350"],"abstract_inverted_index":{"Human":[0],"Activity":[1],"Recognition":[2],"(HAR)":[3],"is":[4,158],"a":[5,23,36,73,121,137,159,173],"central":[6],"unit":[7,46],"to":[8,18,51,81,127,151],"understand":[9],"and":[10,109,163],"predict":[11],"human":[12,129],"behavior.":[13],"HAR":[14,54,174],"has":[15,62,90,101],"been":[16,91],"used":[17,80],"estimate":[19],"the":[20,29,43,53,70,86,94,96,111,143,148,152],"levels":[21,30],"of":[22,31,113],"sedentary,":[24],"monitor":[25],"lifestyle":[26],"habits,":[27],"track":[28],"people's":[32],"health,":[33],"or":[34,75,154],"build":[35],"recommendation":[37],"system.":[38],"Many":[39],"researchers":[40],"have":[41],"utilized":[42],"inertial":[44],"measurement":[45],"as":[47],"an":[48],"input":[49],"tool":[50],"explore":[52],"land.":[55],"The":[56],"recurrence":[57,71],"plot":[58],"(RP)":[59],"technique":[60],"recently":[61],"its":[63],"applications":[64],"diverse":[65],"in":[66,93,142,147,172],"various":[67],"areas.":[68],"From":[69],"plot,":[72],"machine-auto":[74,87,153],"hand-crafted":[76,98,123],"approach":[77,89],"can":[78],"be":[79,169],"extract":[82],"feature":[83],"vectors.":[84],"While":[85],"based":[88,99],"reported":[92,146],"literature,":[95],"latter":[97],"method":[100,124],"not.":[102],"For":[103],"that":[104,167],"reason,":[105],"this":[106],"paper":[107],"evaluated":[108],"demonstrated":[110],"feasibility":[112],"utilizing":[114],"Recurrence":[115],"Quantification":[116],"Analysis":[117,134],"(RQA),":[118],"which":[119,140],"was":[120],"typical":[122],"from":[125],"RP,":[126],"classify":[128],"activities.":[130],"A":[131],"Linear":[132],"Discriminant":[133],"classifier":[135],"yielded":[136],"95.08%":[138],"accuracy,":[139],"belonged":[141],"top":[144],"accuracy":[145],"literature.":[149],"Compare":[150],"end-to-end":[155],"approach,":[156],"RQA":[157],"far":[160],"less":[161],"complicated":[162],"more":[164],"lean":[165],"system":[166],"should":[168],"further":[170],"analyzed":[171],"application.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
