{"id":"https://openalex.org/W1543817950","doi":"https://doi.org/10.3390/info6030505","title":"News Schemes for Activity Recognition Systems Using PCA-WSVM, ICA-WSVM, and LDA-WSVM","display_name":"News Schemes for Activity Recognition Systems Using PCA-WSVM, ICA-WSVM, and LDA-WSVM","publication_year":2015,"publication_date":"2015-08-20","ids":{"openalex":"https://openalex.org/W1543817950","doi":"https://doi.org/10.3390/info6030505","mag":"1543817950"},"language":"en","primary_location":{"id":"doi:10.3390/info6030505","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info6030505","pdf_url":"https://www.mdpi.com/2078-2489/6/3/505/pdf?version=1440150976","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/6/3/505/pdf?version=1440150976","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088686358","display_name":"M\u2019hamed Bilal Abidine","orcid":"https://orcid.org/0000-0002-1675-2886"},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"M\u2019hamed Abidine","raw_affiliation_strings":["Laboratoire d'Ing\u00e9nierie des Syst\u00e8mes Intelligents et Communicants, Faculty of Electronics and Computer Sciences, University of Science and Technology Houari Boumediene (USTHB), 32, El Alia, Bab Ezzouar, 16111 Algiers, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire d'Ing\u00e9nierie des Syst\u00e8mes Intelligents et Communicants, Faculty of Electronics and Computer Sciences, University of Science and Technology Houari Boumediene (USTHB), 32, El Alia, Bab Ezzouar, 16111 Algiers, Algeria","institution_ids":["https://openalex.org/I157169809"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030461883","display_name":"Belkacem Fergani","orcid":"https://orcid.org/0000-0002-1381-6880"},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Belkacem Fergani","raw_affiliation_strings":["Laboratoire d'Ing\u00e9nierie des Syst\u00e8mes Intelligents et Communicants, Faculty of Electronics and Computer Sciences, University of Science and Technology Houari Boumediene (USTHB), 32, El Alia, Bab Ezzouar, 16111 Algiers, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire d'Ing\u00e9nierie des Syst\u00e8mes Intelligents et Communicants, Faculty of Electronics and Computer Sciences, University of Science and Technology Houari Boumediene (USTHB), 32, El Alia, Bab Ezzouar, 16111 Algiers, Algeria","institution_ids":["https://openalex.org/I157169809"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5088686358"],"corresponding_institution_ids":["https://openalex.org/I157169809"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":1.5381,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8287812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6","issue":"3","first_page":"505","last_page":"521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9962999820709229,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9962999820709229,"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":0.9937999844551086,"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":0.9937000274658203,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7905149459838867},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7761136293411255},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7645700573921204},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7200440168380737},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7099504470825195},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.6805776357650757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5341849327087402},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5127328634262085},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5012366771697998},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39278167486190796}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7905149459838867},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7761136293411255},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7645700573921204},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7200440168380737},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7099504470825195},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.6805776357650757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5341849327087402},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5127328634262085},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5012366771697998},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39278167486190796}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/info6030505","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info6030505","pdf_url":"https://www.mdpi.com/2078-2489/6/3/505/pdf?version=1440150976","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c8c306b8989b4039853541d65edafec3","is_oa":true,"landing_page_url":"https://doaj.org/article/c8c306b8989b4039853541d65edafec3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 6, Iss 3, Pp 505-521 (2015)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/6/3/505/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/info6030505","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Information","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info6030505","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info6030505","pdf_url":"https://www.mdpi.com/2078-2489/6/3/505/pdf?version=1440150976","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1543817950.pdf","grobid_xml":"https://content.openalex.org/works/W1543817950.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W728297","https://openalex.org/W740415","https://openalex.org/W1480376833","https://openalex.org/W1497385253","https://openalex.org/W1498975220","https://openalex.org/W1506588750","https://openalex.org/W1551909886","https://openalex.org/W1568001346","https://openalex.org/W1606626619","https://openalex.org/W1663973292","https://openalex.org/W1766594731","https://openalex.org/W1922017469","https://openalex.org/W1932600547","https://openalex.org/W1969307352","https://openalex.org/W1975747104","https://openalex.org/W1979370046","https://openalex.org/W1981515531","https://openalex.org/W2060860432","https://openalex.org/W2067299273","https://openalex.org/W2090705424","https://openalex.org/W2099741732","https://openalex.org/W2104956067","https://openalex.org/W2109098835","https://openalex.org/W2114977530","https://openalex.org/W2119168155","https://openalex.org/W2123277412","https://openalex.org/W2123649031","https://openalex.org/W2137346077","https://openalex.org/W2145419312","https://openalex.org/W2148143831","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2401847728","https://openalex.org/W3099514962","https://openalex.org/W4205699531","https://openalex.org/W4230674625","https://openalex.org/W4292906384","https://openalex.org/W6682141768"],"related_works":["https://openalex.org/W2052589448","https://openalex.org/W2765337000","https://openalex.org/W3104072235","https://openalex.org/W2391447249","https://openalex.org/W2312955079","https://openalex.org/W2350996391","https://openalex.org/W2066119650","https://openalex.org/W2059615944","https://openalex.org/W4224057882","https://openalex.org/W2383444525"],"abstract_inverted_index":{"Feature":[0],"extraction":[1],"and":[2,34,96,101],"classification":[3],"are":[4,46],"two":[5],"key":[6],"steps":[7],"for":[8,23,52,114],"activity":[9,70,115],"recognition":[10,109],"in":[11],"a":[12,53,107],"smart":[13],"home":[14],"environment.":[15],"In":[16],"this":[17],"work,":[18],"we":[19],"used":[20,48,63],"three":[21],"methods":[22,98,113],"feature":[24],"extraction:":[25],"Principal":[26],"Component":[27,31],"Analysis":[28,32,37],"(PCA),":[29],"Independent":[30],"(ICA),":[33],"Linear":[35],"Discriminant":[36],"(LDA).":[38],"The":[39,76],"new":[40],"features":[41],"selected":[42],"by":[43],"each":[44],"method":[45],"then":[47],"as":[49],"the":[50,66,73],"inputs":[51],"Weighted":[54,94],"Support":[55,90],"Vector":[56,91],"Machines":[57,92],"(WSVM)":[58],"classifier.":[59],"This":[60],"classifier":[61],"is":[62],"to":[64],"handle":[65],"problem":[67],"of":[68],"imbalanced":[69],"data":[71],"from":[72],"sensor":[74],"readings.":[75],"experiments":[77],"were":[78],"implemented":[79],"on":[80],"multiple":[81],"real-world":[82],"datasets":[83],"with":[84],"Conditional":[85],"Random":[86],"Fields":[87],"(CRF),":[88],"standard":[89],"(SVM),":[93],"SVM,":[95],"combined":[97],"PCA+WSVM,":[99],"ICA+WSVM,":[100],"LDA+WSVM":[102,105],"showed":[103],"that":[104],"had":[106],"higher":[108],"rate":[110],"than":[111],"other":[112],"recognition.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
