{"id":"https://openalex.org/W3027827778","doi":"https://doi.org/10.1109/icmlc51923.2020.9469562","title":"Detection of Stress for Visually Impaired People Using EEG Signals Based on Time-Frequency Domain Analysis","display_name":"Detection of Stress for Visually Impaired People Using EEG Signals Based on Time-Frequency Domain Analysis","publication_year":2020,"publication_date":"2020-12-02","ids":{"openalex":"https://openalex.org/W3027827778","doi":"https://doi.org/10.1109/icmlc51923.2020.9469562","mag":"3027827778"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc51923.2020.9469562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc51923.2020.9469562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5048009343","display_name":"Samia Sultana","orcid":"https://orcid.org/0000-0002-1513-6336"},"institutions":[{"id":"https://openalex.org/I5518804","display_name":"BRAC University","ror":"https://ror.org/00sge8677","country_code":"BD","type":"education","lineage":["https://openalex.org/I5518804"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Samia Sultana","raw_affiliation_strings":["BRAC University,Software Engineering and HCI Research Group,Department of Computer Science and Engineering,Bangladesh","Department of Computer Science and Engineering, Software Engineering and HCI Research Group, BRAC University, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BRAC University,Software Engineering and HCI Research Group,Department of Computer Science and Engineering,Bangladesh","institution_ids":["https://openalex.org/I5518804"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Software Engineering and HCI Research Group, BRAC University, Bangladesh","institution_ids":["https://openalex.org/I5518804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081436241","display_name":"Anisur Rahman","orcid":"https://orcid.org/0000-0002-8444-7648"},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Md Anisur Rahman","raw_affiliation_strings":["Charles Sturt University,School of Computing & Mathematics,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Charles Sturt University,School of Computing & Mathematics,Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063142391","display_name":"Mohammad Zavid Parvez","orcid":"https://orcid.org/0000-0003-2138-8334"},"institutions":[{"id":"https://openalex.org/I5518804","display_name":"BRAC University","ror":"https://ror.org/00sge8677","country_code":"BD","type":"education","lineage":["https://openalex.org/I5518804"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mohammad Zavid Parvez","raw_affiliation_strings":["BRAC University,Software Engineering and HCI Research Group,Department of Computer Science and Engineering,Bangladesh","Department of Computer Science and Engineering, Software Engineering and HCI Research Group, BRAC University, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BRAC University,Software Engineering and HCI Research Group,Department of Computer Science and Engineering,Bangladesh","institution_ids":["https://openalex.org/I5518804"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Software Engineering and HCI Research Group, BRAC University, Bangladesh","institution_ids":["https://openalex.org/I5518804"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2742,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.41207455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"118","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994999766349792,"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":0.9994999766349792,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9847999811172485,"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":0.9700000286102295,"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/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.7877925634384155},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.7619542479515076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6878520250320435},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6756258010864258},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.6633307933807373},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6244075894355774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6168844103813171},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6142884492874146},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.5907785296440125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5660991072654724},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5458765625953674},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.5360496640205383},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5128927230834961},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.44899505376815796},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.41903257369995117},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.21563643217086792},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.19740137457847595},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16915977001190186},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11543694138526917},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.08340463042259216}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.7877925634384155},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.7619542479515076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6878520250320435},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6756258010864258},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.6633307933807373},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6244075894355774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6168844103813171},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6142884492874146},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.5907785296440125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5660991072654724},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5458765625953674},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.5360496640205383},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5128927230834961},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.44899505376815796},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.41903257369995117},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.21563643217086792},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.19740137457847595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16915977001190186},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11543694138526917},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.08340463042259216},{"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc51923.2020.9469562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc51923.2020.9469562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W986818690","https://openalex.org/W1488890883","https://openalex.org/W1584238570","https://openalex.org/W1596717185","https://openalex.org/W1974636434","https://openalex.org/W1981898797","https://openalex.org/W1984169809","https://openalex.org/W1990441178","https://openalex.org/W2033752973","https://openalex.org/W2064907108","https://openalex.org/W2080966422","https://openalex.org/W2081629500","https://openalex.org/W2112957737","https://openalex.org/W2171801645","https://openalex.org/W2249570950","https://openalex.org/W2338092193","https://openalex.org/W2339822990","https://openalex.org/W2395482586","https://openalex.org/W2798301086","https://openalex.org/W2888956240","https://openalex.org/W3093954063","https://openalex.org/W6753905075","https://openalex.org/W6996081547"],"related_works":["https://openalex.org/W2130656202","https://openalex.org/W2336746680","https://openalex.org/W3027827778","https://openalex.org/W2091895801","https://openalex.org/W2978452098","https://openalex.org/W2363142059","https://openalex.org/W2516608318","https://openalex.org/W2342270880","https://openalex.org/W4220825485","https://openalex.org/W2081230447"],"abstract_inverted_index":{"Stress":[0,21],"refers":[1],"to":[2,9,25,47,91,118,155,159,168],"body\u2019s":[3],"physical,":[4],"emotional":[5],"and":[6,111,151],"psychological":[7],"reaction":[8],"any":[10],"environmental":[11],"change":[12],"needing":[13],"adjustment":[14],"with":[15,186],"major":[16],"impact":[17],"on":[18,72],"human":[19,60],"psychology.":[20],"is":[22,104,132,153,166,184],"specially":[23],"difficult":[24],"manage":[26],"for":[27,95,190],"visually":[28],"impaired":[29],"people":[30],"(VIP)":[31],"as":[32,50],"they":[33],"can":[34,44],"become":[35],"easily":[36],"stressed":[37],"in":[38,59,99,174],"unknown":[39],"situations.":[40],"Electroencephalogram":[41],"(EEG)":[42],"signals":[43,145],"be":[45,89],"used":[46,117,154],"detect":[48],"stress":[49,66,96,171,191],"it":[51],"basically":[52],"represents":[53],"the":[54,65,128,130,148,170,181,197,200,204],"ongoing":[55],"electrical":[56],"signal":[57,131],"changes":[58],"brain.":[61],"Literature":[62],"shows":[63],"that":[64],"detection":[67],"techniques":[68],"are":[69,116],"mostly":[70],"based":[71],"either":[73,81],"time":[74,82,149,157],"or":[75,83],"frequency":[76,84],"domain":[77,85,150,158],"analysis.":[78],"However,":[79],"using":[80,106],"analysis":[86],"may":[87],"not":[88],"sufficient":[90],"provide":[92],"appropriate":[93],"outcome":[94],"detection.":[97,192],"Hence,":[98],"this":[100],"paper":[101],"a":[102,141,187],"method":[103,183],"proposed":[105,182,201],"empirical":[107],"mode":[108,137],"decomposition":[109],"(EMD)":[110],"short-term":[112],"Fourier":[113],"transform":[114],"(STFT)":[115],"extract":[119],"features":[120],"considering":[121],"spatio-temporal":[122],"information":[123],"from":[124],"EEG":[125],"signals.":[126],"In":[127],"EMD,":[129],"first":[133],"decomposed":[134],"into":[135],"intrinsic":[136],"functions":[138],"(IMFs)":[139],"representing":[140],"finite":[142],"number":[143],"of":[144,172,180,199],"while":[146],"maintaining":[147],"STFT":[152],"convert":[156],"time-frequency":[160],"domain.":[161],"Support":[162],"vector":[163],"machine":[164],"(SVM)":[165],"applied":[167],"classify":[169],"VIP":[173],"unfamiliar":[175],"indoor":[176],"environments.":[177],"The":[178,193],"performance":[179],"compared":[185],"state-of-the-art":[188],"technique":[189,202],"experimental":[194],"results":[195],"demonstrate":[196],"superiority":[198],"over":[203],"existing":[205],"technique.":[206]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}