{"id":"https://openalex.org/W4242419058","doi":"https://doi.org/10.1145/3495018.3501122","title":"Computer Artificial Intelligence Applied in the Judgement of Attentiveness Using EEG Signals Processing Technology","display_name":"Computer Artificial Intelligence Applied in the Judgement of Attentiveness Using EEG Signals Processing Technology","publication_year":2021,"publication_date":"2021-10-23","ids":{"openalex":"https://openalex.org/W4242419058","doi":"https://doi.org/10.1145/3495018.3501122"},"language":"en","primary_location":{"id":"doi:10.1145/3495018.3501122","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3495018.3501122","pdf_url":null,"source":{"id":"https://openalex.org/S4363607741","display_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","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/A5012487288","display_name":"Xiangeng Bu","orcid":null},"institutions":[{"id":"https://openalex.org/I156144747","display_name":"Harbin Medical University","ror":"https://ror.org/05jscf583","country_code":"CN","type":"education","lineage":["https://openalex.org/I156144747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangeng Bu","raw_affiliation_strings":["Harbin Medical University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Medical University, China","institution_ids":["https://openalex.org/I156144747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019781526","display_name":"Tianao Cao","orcid":"https://orcid.org/0000-0002-8797-0709"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianao Cao","raw_affiliation_strings":["Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041395139","display_name":"Jinwei Sun","orcid":"https://orcid.org/0000-0002-2194-0574"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwei Sun","raw_affiliation_strings":["Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038536818","display_name":"Qisong Wang","orcid":"https://orcid.org/0000-0002-4974-0275"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qisong Wang","raw_affiliation_strings":["Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100326811","display_name":"Dan Liu","orcid":"https://orcid.org/0000-0001-7536-1482"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Liu","raw_affiliation_strings":["Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28083742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"2462","last_page":"2468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9950000047683716,"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":0.9950000047683716,"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/T14512","display_name":"Technology and Human Factors in Education and Health","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9643999934196472,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6978518962860107},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6314653754234314},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5971709489822388},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5275197625160217},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.5173620581626892},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.508044958114624},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4501025676727295},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.44907644391059875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4323938488960266},{"id":"https://openalex.org/keywords/judgement","display_name":"Judgement","score":0.42733675241470337},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.41662511229515076},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36431097984313965},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1419244110584259}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6978518962860107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6314653754234314},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5971709489822388},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5275197625160217},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.5173620581626892},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.508044958114624},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4501025676727295},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.44907644391059875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4323938488960266},{"id":"https://openalex.org/C2776548248","wikidata":"https://www.wikidata.org/wiki/Q12621536","display_name":"Judgement","level":2,"score":0.42733675241470337},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.41662511229515076},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36431097984313965},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1419244110584259},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3495018.3501122","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3495018.3501122","pdf_url":null,"source":{"id":"https://openalex.org/S4363607741","display_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1977597893","https://openalex.org/W2007221293","https://openalex.org/W2026747828","https://openalex.org/W2029772767","https://openalex.org/W2055493013","https://openalex.org/W2078718207"],"related_works":["https://openalex.org/W2886802431","https://openalex.org/W4388216822","https://openalex.org/W1761762290","https://openalex.org/W4391191813","https://openalex.org/W4387575966","https://openalex.org/W2384262901","https://openalex.org/W2975214487","https://openalex.org/W651304006","https://openalex.org/W2345720417","https://openalex.org/W2385564112"],"abstract_inverted_index":{"The":[0],"realization":[1],"of":[2,10,28,55,65,83,86,94,115],"intelligent":[3,43],"education":[4,18],"relies":[5],"on":[6],"the":[7,14,26,30,52,63,81,113],"cross":[8],"integration":[9],"artificial":[11],"intelligence":[12],"and":[13,21,33,44,60,67,101,104],"educational":[15],"process,":[16,59],"making":[17],"a":[19,92,106],"traceable":[20],"visible":[22],"process.":[23],"This":[24,49],"achieves":[25],"purpose":[27],"optimizing":[29],"teaching":[31],"process":[32],"promoting":[34],"learners":[35,56],"to":[36,111],"conduct":[37],"personalized":[38],"learning,":[39],"thus":[40],"creating":[41],"an":[42],"technologically":[45],"advanced":[46],"learning":[47,58],"environment.":[48],"paper":[50,90],"collects":[51],"EEG":[53,72],"signals":[54,73],"in":[57],"carries":[61],"out":[62],"removal":[64],"noise":[66],"physiological":[68],"artifact":[69],"first,":[70],"obtaining":[71],"with":[74],"higher":[75],"signal-to-noise":[76],"ratio":[77],"(SNR).":[78],"To":[79],"address":[80],"problem":[82],"subjective":[84],"indicators":[85],"attentiveness":[87,116],"evaluation,":[88],"this":[89],"extracts":[91],"variety":[93],"features":[95],"(power":[96],"spectral":[97],"density,":[98],"eSense":[99],"index,":[100],"sample":[102],"entropy),":[103],"makes":[105],"comprehensive":[107],"comparison,":[108],"so":[109],"as":[110],"evaluate":[112],"state":[114],"objectively.":[117]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}