{"id":"https://openalex.org/W2587975923","doi":"https://doi.org/10.1109/ssci.2016.7850043","title":"Eye movements as information markers in EEG data","display_name":"Eye movements as information markers in EEG data","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2587975923","doi":"https://doi.org/10.1109/ssci.2016.7850043","mag":"2587975923"},"language":"en","primary_location":{"id":"doi:10.1109/ssci.2016.7850043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2016.7850043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://handle.unsw.edu.au/1959.4/unsworks_41326","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066773785","display_name":"Sherif Abdelfattah","orcid":"https://orcid.org/0000-0003-2890-8929"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sherif M. Abdelfattah","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111548712","display_name":"Kathryn Merrick","orcid":null},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kathryn E. Merrick","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022974795","display_name":"Hussein A. Abbass","orcid":"https://orcid.org/0000-0002-8837-0748"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hussein A. Abbass","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1682,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59041264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9998000264167786,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.98089998960495,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7752188444137573},{"id":"https://openalex.org/keywords/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.7363265156745911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7213672399520874},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7093700170516968},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6628239154815674},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.626676082611084},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5715468525886536},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4709490239620209},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46721187233924866},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.46407440304756165},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44636744260787964},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4442337155342102},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41146302223205566},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.360781729221344},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.33949118852615356},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.282142698764801},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.13875168561935425}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7752188444137573},{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.7363265156745911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7213672399520874},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7093700170516968},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6628239154815674},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.626676082611084},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5715468525886536},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4709490239620209},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46721187233924866},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.46407440304756165},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44636744260787964},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4442337155342102},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41146302223205566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.360781729221344},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.33949118852615356},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.282142698764801},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.13875168561935425},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ssci.2016.7850043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2016.7850043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:unsworks.unsw.edu.au:1959.4/unsworks_41326","is_oa":true,"landing_page_url":"http://handle.unsw.edu.au/1959.4/unsworks_41326","pdf_url":null,"source":{"id":"https://openalex.org/S4377196481","display_name":"UNSWorks (UNSW Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I31746571","host_organization_name":"UNSW Sydney","host_organization_lineage":["https://openalex.org/I31746571"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:unsworks.library.unsw.edu.au:1959.4/unsworks_41326","is_oa":true,"landing_page_url":"http://hdl.handle.net/1959.4/unsworks_41326","pdf_url":null,"source":{"id":"https://openalex.org/S4306401737","display_name":"UNSWorks (University of New South Wales, Sydney, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40053085","host_organization_name":"Australian Defence Force Academy","host_organization_lineage":["https://openalex.org/I40053085"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Symposium Series on Computational Intelligence, Athens, Greece, 2016-12-06 - 2016-12-09","raw_type":"http://purl.org/coar/resource_type/c_5794"}],"best_oa_location":{"id":"pmh:oai:unsworks.unsw.edu.au:1959.4/unsworks_41326","is_oa":true,"landing_page_url":"http://handle.unsw.edu.au/1959.4/unsworks_41326","pdf_url":null,"source":{"id":"https://openalex.org/S4377196481","display_name":"UNSWorks (UNSW Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I31746571","host_organization_name":"UNSW Sydney","host_organization_lineage":["https://openalex.org/I31746571"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6899999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W611103097","https://openalex.org/W1504694836","https://openalex.org/W1511644867","https://openalex.org/W1519382844","https://openalex.org/W1547840952","https://openalex.org/W1583364143","https://openalex.org/W1971145707","https://openalex.org/W2000560576","https://openalex.org/W2005634718","https://openalex.org/W2020366826","https://openalex.org/W2035026907","https://openalex.org/W2040755506","https://openalex.org/W2042306717","https://openalex.org/W2075647286","https://openalex.org/W2088391055","https://openalex.org/W2097448010","https://openalex.org/W2104063964","https://openalex.org/W2106006415","https://openalex.org/W2110444396","https://openalex.org/W2118040411","https://openalex.org/W2125055259","https://openalex.org/W2130416896","https://openalex.org/W2133990480","https://openalex.org/W2137237725","https://openalex.org/W2145352920","https://openalex.org/W2159350554","https://openalex.org/W2498264865","https://openalex.org/W2498672755","https://openalex.org/W2888333516","https://openalex.org/W4285719527","https://openalex.org/W6676186243"],"related_works":["https://openalex.org/W4214491888","https://openalex.org/W2756012949","https://openalex.org/W2313958768","https://openalex.org/W3003508951","https://openalex.org/W2100170134","https://openalex.org/W2363944694","https://openalex.org/W3096006032","https://openalex.org/W2967802456","https://openalex.org/W2807997743","https://openalex.org/W3191461944"],"abstract_inverted_index":{"Artifacts":[0],"such":[1],"as":[2,11,25,50,149],"voluntarily":[3],"and":[4,72,127],"involuntarily":[5],"muscle":[6],"movements":[7,36,49],"are":[8],"usually":[9],"seen":[10],"a":[12,26,31,39,174],"source":[13,27],"of":[14,28,56,64,92,104],"noise":[15],"in":[16,30,42,95,191,197],"EEG":[17,44,105,159],"signals.":[18,45,106,160],"In":[19,74,139],"this":[20],"paper,":[21],"we":[22,78,108,143],"see":[23],"artifacts":[24],"information":[29],"signal.":[32],"For":[33],"example,":[34,171],"eye":[35,48,66],"can":[37],"generate":[38],"traceable":[40],"change":[41],"the":[43,75,90,96,110,140,156,163,179,192,198],"We":[46,58,161],"use":[47],"an":[51,145,150],"effective":[52],"marker":[53],"for":[54,62],"direction":[55],"movement.":[57],"propose":[59],"two":[60],"experiments":[61],"classification":[63,137,187],"four":[65],"movement":[67],"directions":[68],"(left,":[69],"right,":[70],"up":[71],"down).":[73],"first":[76,193],"experiment,":[77,142],"utilize":[79],"feature":[80],"partitioning":[81],"method":[82,176],"based":[83],"on":[84,168],"J48":[85],"decision":[86,130],"tree":[87,131],"to":[88,113,153,177,195],"tackle":[89],"effect":[91],"concept":[93],"drift":[94],"training":[97,170],"dataset":[98],"resulting":[99],"from":[100,189],"dynamic":[101,157],"non-stationarity":[102],"characteristics":[103],"Afterward,":[107],"feed":[109],"extracted":[111],"partitions":[112],"three":[114,165],"different":[115],"classifiers:":[116],"multilayer":[117],"perceptron":[118],"(MLP)":[119],"(with":[120],"10":[121],"hidden":[122],"layers),":[123],"logistic":[124],"regression":[125],"(LR)":[126],"random":[128],"forest":[129],"(RFDT)":[132],"respectively,":[133],"while":[134],"comparing":[135],"their":[136],"accuracy.":[138],"second":[141],"explored":[144],"ensemble":[146,184],"learning":[147],"mechanism":[148],"alternative":[151],"criterion":[152],"deal":[154],"with":[155],"nature":[158],"trained":[162],"last":[164],"classifiers":[166],"simultaneously":[167],"each":[169],"followed":[172],"by":[173],"voting":[175],"determine":[178],"dominant":[180],"class":[181],"label.":[182],"The":[183],"approach":[185],"increased":[186],"accuracy":[188],"86.2%":[190],"experiment":[194],"90.1%":[196],"second.":[199]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-17T08:01:34.144755","created_date":"2025-10-10T00:00:00"}
