{"id":"https://openalex.org/W114507440","doi":null,"title":"An HMM-PCA approach for EEG-based brain computer interfaces (BCIs)","display_name":"An HMM-PCA approach for EEG-based brain computer interfaces (BCIs)","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W114507440","mag":"114507440"},"language":"en","primary_location":{"id":"pmh:oai:research.sabanciuniv.edu:19026","doi":null,"is_oa":false,"landing_page_url":"https://research.sabanciuniv.edu/id/eprint/19026/1/AliOzgurArgunsah.pdf","pdf_url":"https://research.sabanciuniv.edu/id/eprint/19026/1/AliOzgurArgunsah.pdf","source":{"id":"https://openalex.org/S4306402254","display_name":"Sabanci University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I134235054","host_organization_name":"Sabanc\u0131 \u00dcniversitesi","host_organization_lineage":["https://openalex.org/I134235054"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"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/A5086123959","display_name":"Ali \u00d6zg\u00fcr Argun\u015fah","orcid":"https://orcid.org/0000-0002-3082-3775","observed_orcids":["https://orcid.org/0000-0002-3082-3775"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ali \u00d6zg\u00fcr Argun\u015fah","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3082-3775","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5086123959"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.0,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/eeg-based-brain-computer-interface","display_name":"EEG-based brain-computer interface","score":0.8920000195503235},{"id":"https://openalex.org/keywords/hidden-markov-models","display_name":"hidden Markov models","score":0.9980000257492065},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"principal component analysis","score":0.9589999914169312},{"id":"https://openalex.org/keywords/autoregressive-features","display_name":"autoregressive features","score":0.7239999771118164},{"id":"https://openalex.org/keywords/single-trial-eeg-classification","display_name":"single-trial EEG classification","score":0.8840000033378601},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"motor imagery","score":0.9549999833106995},{"id":"https://openalex.org/keywords/eeg-feature-extraction","display_name":"EEG feature extraction","score":0.5490000247955322},{"id":"https://openalex.org/keywords/mahalanobis-distance-classifier","display_name":"Mahalanobis distance classifier","score":0.8669999837875366}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.9064679741859436},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8388147354125977},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.690743088722229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6444379687309265},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5772449374198914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.56470787525177},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5452362895011902},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.5025408267974854},{"id":"https://openalex.org/C168451700","wikidata":"https://www.wikidata.org/wiki/Q1306528","display_name":"Neural engineering","level":2,"score":0.4803229868412018},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.47168925404548645},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4141184091567993},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13734465837478638},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11216193437576294}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:research.sabanciuniv.edu:19026","doi":null,"is_oa":false,"landing_page_url":"https://research.sabanciuniv.edu/id/eprint/19026/1/AliOzgurArgunsah.pdf","pdf_url":"https://research.sabanciuniv.edu/id/eprint/19026/1/AliOzgurArgunsah.pdf","source":{"id":"https://openalex.org/S4306402254","display_name":"Sabanci University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I134235054","host_organization_name":"Sabanc\u0131 \u00dcniversitesi","host_organization_lineage":["https://openalex.org/I134235054"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"mag:114507440","doi":null,"is_oa":false,"landing_page_url":"https://research.sabanciuniv.edu/19026/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W88225550","https://openalex.org/W142758689","https://openalex.org/W1490699131","https://openalex.org/W1744998535","https://openalex.org/W1970070014","https://openalex.org/W1998221425","https://openalex.org/W2018281395","https://openalex.org/W2037640378","https://openalex.org/W2057219090","https://openalex.org/W2081436264","https://openalex.org/W2097747210","https://openalex.org/W2098100592","https://openalex.org/W2098590735","https://openalex.org/W2098844365","https://openalex.org/W2100520255","https://openalex.org/W2100559051","https://openalex.org/W2101865311","https://openalex.org/W2106006415","https://openalex.org/W2109100179","https://openalex.org/W2109858853","https://openalex.org/W2112379601","https://openalex.org/W2116308679","https://openalex.org/W2125838338","https://openalex.org/W2133651939","https://openalex.org/W2140413964","https://openalex.org/W2147880316","https://openalex.org/W2152465745","https://openalex.org/W2155758585","https://openalex.org/W2159318219","https://openalex.org/W2162157254","https://openalex.org/W2163647352","https://openalex.org/W2163756472","https://openalex.org/W2165217282","https://openalex.org/W2166330320","https://openalex.org/W2167068610","https://openalex.org/W2169795352","https://openalex.org/W2548845607"],"related_works":["https://openalex.org/W1977065849","https://openalex.org/W1997273973","https://openalex.org/W2131834354","https://openalex.org/W2254263679","https://openalex.org/W1986227389","https://openalex.org/W2355137506","https://openalex.org/W2164639335","https://openalex.org/W575958312","https://openalex.org/W2979049434","https://openalex.org/W2047191196"],"abstract_inverted_index":{"Electroencephalography":[0],"(EEG)":[1],"based":[2,88,153],"Brain-Computer":[3],"Interface":[4],"(BCI)":[5],"systems":[6,49],"are":[7,77],"a":[8,38,85,103],"new":[9,18,86],"development":[10],"in":[11,27,31,114],"the":[12,45,54,58,96,108],"field":[13],"of":[14,41,44,64,98,140,144],"applied":[15],"neurophysiology.":[16],"This":[17],"approach":[19],"has":[20,35],"been":[21],"made":[22],"possible":[23],"thanks":[24],"to":[25,37,57,127],"progress":[26],"EEG":[28,46,135,165],"analysis":[29,72],"and":[30,73,93,106,130,156],"information":[32,51],"technology":[33],"which":[34],"led":[36],"better":[39],"understanding":[40],"psychophysical":[42],"aspects":[43],"signals.":[47],"BCI":[48,145,154],"enable":[50],"flow":[52],"from":[53],"brain":[55,65],"directly":[56],"outside":[59],"world.":[60],"For":[61],"widespread":[62],"use":[63],"signals":[66],"for":[67],"such":[68],"objectives,":[69],"effective":[70],"signal":[71],"pattern":[74],"recognition":[75],"techniques":[76],"needed.":[78],"In":[79],"this":[80],"thesis,":[81],"we":[82,111],"have":[83,94,112,118],"developed":[84],"technique":[87],"on":[89,102,107],"hidden":[90],"Markov":[91],"models,":[92],"demonstrated":[95],"effectiveness":[97],"our":[99,115],"algorithms":[100],"both":[101],"standard":[104],"dataset":[105],"data":[109,136],"that":[110],"collected":[113],"laboratory.":[116],"We":[117],"used":[119],"HMMs":[120],"with":[121,125,150,161],"AR":[122],"features":[123],"combined":[124],"PCA":[126],"classify":[128],"two":[129,162],"four":[131],"class":[132],"single":[133],"trial":[134],"recorded":[137],"during":[138],"imagination":[139],"motor":[141],"actions":[142],"type":[143],"experiments.":[146],"Results":[147],"were":[148],"compared":[149],"previous":[151],"HMM":[152],"classifiers":[155],"Mahalanobis":[157],"distance":[158],"classifier":[159],"fed":[160],"different":[163],"state-of-theart":[164],"features.":[166]},"counts_by_year":[],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2016-06-24T00:00:00"}