{"id":"https://openalex.org/W2177668981","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7337958","title":"Hybrid approach in recognition of visual covert selective spatial attention based on MEG signals","display_name":"Hybrid approach in recognition of visual covert selective spatial attention based on MEG signals","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2177668981","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7337958","mag":"2177668981"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2015.7337958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7337958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-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/A5076461974","display_name":"Seyyed Abed Hosseini","orcid":"https://orcid.org/0000-0002-0211-6248"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"S.A. Hosseini","raw_affiliation_strings":["Dept. of Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026330809","display_name":"Mohammad-R. Akbarzadeh-T","orcid":"https://orcid.org/0000-0001-5626-5559"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"M.-R. Akbarzadeh-T","raw_affiliation_strings":["Dept. of Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Razavi Khorasan, IR"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Razavi Khorasan, IR","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037986038","display_name":"Mohammad Bagher Naghibi Sistani","orcid":"https://orcid.org/0000-0003-1414-8199"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"M.-B. Naghibi-Sistani","raw_affiliation_strings":["Dept. of Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076461974"],"corresponding_institution_ids":["https://openalex.org/I86958956"],"apc_list":null,"apc_paid":null,"fwci":0.6452,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6856717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"28","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":0.9998999834060669,"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":0.9998999834060669,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9901000261306763,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9868000149726868,"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/computer-science","display_name":"Computer science","score":0.7354757785797119},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7264225482940674},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6876033544540405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6692193746566772},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5635069608688354},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5331992506980896},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.4930555522441864},{"id":"https://openalex.org/keywords/covert","display_name":"Covert","score":0.491970032453537},{"id":"https://openalex.org/keywords/morlet-wavelet","display_name":"Morlet wavelet","score":0.4451936185359955},{"id":"https://openalex.org/keywords/fractal-dimension","display_name":"Fractal dimension","score":0.4223559498786926},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.399814635515213},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.3778049647808075},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3348551392555237},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.32413971424102783},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3207550048828125},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.31554481387138367},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.1374017298221588},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11999529600143433}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7354757785797119},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7264225482940674},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6876033544540405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6692193746566772},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5635069608688354},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5331992506980896},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.4930555522441864},{"id":"https://openalex.org/C2779338814","wikidata":"https://www.wikidata.org/wiki/Q5179285","display_name":"Covert","level":2,"score":0.491970032453537},{"id":"https://openalex.org/C2778280487","wikidata":"https://www.wikidata.org/wiki/Q3505077","display_name":"Morlet wavelet","level":5,"score":0.4451936185359955},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.4223559498786926},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.399814635515213},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.3778049647808075},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3348551392555237},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.32413971424102783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3207550048828125},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.31554481387138367},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.1374017298221588},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11999529600143433},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2015.7337958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7337958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320313459","display_name":"Cognitive Sciences and Technologies Council","ror":null},{"id":"https://openalex.org/F4320321013","display_name":"Radboud Universiteit","ror":"https://ror.org/016xsfp80"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W10335571","https://openalex.org/W230373591","https://openalex.org/W1516540185","https://openalex.org/W1535782774","https://openalex.org/W1571064862","https://openalex.org/W1603091009","https://openalex.org/W1655919896","https://openalex.org/W1773016195","https://openalex.org/W1839903856","https://openalex.org/W1841495259","https://openalex.org/W1949922239","https://openalex.org/W1966832096","https://openalex.org/W1967564428","https://openalex.org/W1967765022","https://openalex.org/W2013068849","https://openalex.org/W2018005397","https://openalex.org/W2020524745","https://openalex.org/W2022021629","https://openalex.org/W2023295798","https://openalex.org/W2024223051","https://openalex.org/W2033894697","https://openalex.org/W2034365902","https://openalex.org/W2035883146","https://openalex.org/W2040568291","https://openalex.org/W2041248708","https://openalex.org/W2048046873","https://openalex.org/W2048579146","https://openalex.org/W2053011627","https://openalex.org/W2053958668","https://openalex.org/W2056101986","https://openalex.org/W2072151998","https://openalex.org/W2092515476","https://openalex.org/W2100619677","https://openalex.org/W2101402490","https://openalex.org/W2103014813","https://openalex.org/W2104470693","https://openalex.org/W2104946207","https://openalex.org/W2106006415","https://openalex.org/W2108322235","https://openalex.org/W2108674095","https://openalex.org/W2111966567","https://openalex.org/W2114094034","https://openalex.org/W2118085821","https://openalex.org/W2120713198","https://openalex.org/W2121313482","https://openalex.org/W2122896223","https://openalex.org/W2126430831","https://openalex.org/W2126985405","https://openalex.org/W2137721565","https://openalex.org/W2142394129","https://openalex.org/W2151495250","https://openalex.org/W2153635508","https://openalex.org/W2156770021","https://openalex.org/W2161457168","https://openalex.org/W2162325286","https://openalex.org/W2165773639","https://openalex.org/W2324735378","https://openalex.org/W2340557447","https://openalex.org/W3012653848","https://openalex.org/W4388278309","https://openalex.org/W6675313754","https://openalex.org/W6676632183","https://openalex.org/W6682354752"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W2351462122","https://openalex.org/W1984457832","https://openalex.org/W2044053727","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W2141281436","https://openalex.org/W2059017668","https://openalex.org/W2523525694"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2,76],"a":[3,124],"reliable":[4],"and":[5,33,86,95,102,129,137],"efficient":[6],"method":[7,75,114],"for":[8,42,131,146],"recognition":[9],"in":[10],"two":[11,132],"different":[12,28,31,58,63,133],"orientations":[13,134],"(either":[14],"left":[15],"or":[16],"right)":[17],"by":[18,80,93,97],"Magnetoencephalograph":[19],"(MEG)":[20],"signals.":[21],"The":[22,36,52,73,108],"brain":[23,59],"activities":[24],"are":[25,39],"measured":[26],"using":[27],"approaches":[29],"with":[30,123,135],"spatial":[32,70,154],"temporal":[34,50],"resolutions.":[35],"MEG":[37,53],"signals":[38,54],"usually":[40],"used":[41],"brain-computer":[43],"interface":[44],"(BCI)":[45],"applications":[46,148],"due":[47],"to":[48],"high":[49,125],"resolution.":[51],"were":[55],"recorded":[56],"from":[57],"regions":[60],"of":[61,119,127],"four":[62],"human":[64],"subjects":[65],"during":[66],"visual":[67,151],"covert":[68,152],"selective":[69,153],"attention":[71],"task.":[72],"hybrid":[74],"pre-processing;":[77],"feature":[78,91],"extraction":[79],"Hurst":[81],"exponent,":[82],"Morlet":[83],"wavelet":[84],"coefficients,":[85],"Petrosian":[87],"fractal":[88],"dimension;":[89],"normalization;":[90],"selection":[92],"p-value;":[94],"classification":[96],"support":[98,104],"vector":[99,105],"machine":[100,106],"(SVM)":[101],"fuzzy":[103],"(FSVM).":[107],"results":[109],"show":[110],"that":[111],"the":[112,117,120],"proposed":[113],"can":[115,143],"predict":[116],"location":[118],"attended":[121],"stimulus":[122],"accuracy":[126],"91.62%":[128],"92.28%":[130],"SVM":[136],"FSVM,":[138],"respectively.":[139],"Finally,":[140],"these":[141],"methods":[142],"be":[144],"useful":[145],"BCI":[147],"based":[149],"on":[150],"attention.":[155]},"counts_by_year":[{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}