{"id":"https://openalex.org/W2980792260","doi":"https://doi.org/10.1109/ispa.2019.8868678","title":"MMOD-COG: A Database for Multimodal Cognitive Load Classification","display_name":"MMOD-COG: A Database for Multimodal Cognitive Load Classification","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2980792260","doi":"https://doi.org/10.1109/ispa.2019.8868678","mag":"2980792260"},"language":"en","primary_location":{"id":"doi:10.1109/ispa.2019.8868678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2019.8868678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA)","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/A5040280228","display_name":"Igor Miji\u0107","orcid":"https://orcid.org/0000-0001-7359-686X"},"institutions":[{"id":"https://openalex.org/I2800195167","display_name":"Croatian Academic and Research Network","ror":"https://ror.org/010hs8e42","country_code":"HR","type":"other","lineage":["https://openalex.org/I2800195167"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Igor Mijic","raw_affiliation_strings":["RealNetworks, Zagreb, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RealNetworks, Zagreb, Croatia","institution_ids":["https://openalex.org/I2800195167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023881064","display_name":"Marko \u0160arlija","orcid":"https://orcid.org/0000-0002-7130-9529"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Marko Sarlija","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083736826","display_name":"Davor Petrinovi\u0107","orcid":"https://orcid.org/0000-0003-3950-7864"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Davor Petrinovic","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia","institution_ids":["https://openalex.org/I181343428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7148,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.93936477,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9896000027656555,"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":0.9896000027656555,"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/T11516","display_name":"Visual and Cognitive Learning Processes","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9769999980926514,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7814905643463135},{"id":"https://openalex.org/keywords/cognitive-load","display_name":"Cognitive load","score":0.7490627765655518},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5778750777244568},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5565019845962524},{"id":"https://openalex.org/keywords/stroop-effect","display_name":"Stroop effect","score":0.5375843048095703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5071506500244141},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5018000602722168},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06960639357566833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7814905643463135},{"id":"https://openalex.org/C61641136","wikidata":"https://www.wikidata.org/wiki/Q1107019","display_name":"Cognitive load","level":3,"score":0.7490627765655518},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5778750777244568},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5565019845962524},{"id":"https://openalex.org/C162967406","wikidata":"https://www.wikidata.org/wiki/Q384176","display_name":"Stroop effect","level":3,"score":0.5375843048095703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5071506500244141},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5018000602722168},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06960639357566833},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispa.2019.8868678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2019.8868678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1239497932","https://openalex.org/W1557292420","https://openalex.org/W1980848027","https://openalex.org/W1980877068","https://openalex.org/W1982798168","https://openalex.org/W2010700035","https://openalex.org/W2034355442","https://openalex.org/W2043745365","https://openalex.org/W2090777335","https://openalex.org/W2116669434","https://openalex.org/W2127544007","https://openalex.org/W2132524366","https://openalex.org/W2161051082","https://openalex.org/W2184421965","https://openalex.org/W2188039969","https://openalex.org/W2239141610","https://openalex.org/W2314656822","https://openalex.org/W2560443639","https://openalex.org/W2618379429","https://openalex.org/W2759190050","https://openalex.org/W2766837055","https://openalex.org/W2785991061","https://openalex.org/W2898828914","https://openalex.org/W6628116150","https://openalex.org/W6633322633","https://openalex.org/W6686976876","https://openalex.org/W7010600474"],"related_works":["https://openalex.org/W1970555053","https://openalex.org/W4241390462","https://openalex.org/W2053629062","https://openalex.org/W2057396539","https://openalex.org/W3205260276","https://openalex.org/W2091287875","https://openalex.org/W2412548067","https://openalex.org/W2368315872","https://openalex.org/W2384997297","https://openalex.org/W2183783065"],"abstract_inverted_index":{"This":[0],"paper":[1,105],"presents":[2,107],"a":[3,13,85],"dataset":[4,35,53],"for":[5,93],"multimodal":[6,31,133],"classification":[7,109],"of":[8,15,24,33,40,51,129,135],"cognitive":[9,18,63,81,164],"load":[10,19,64,82,165],"recorded":[11],"on":[12,120,127,141,143],"sample":[14],"students.":[16],"The":[17,49,104,132],"was":[20,54],"induced":[21],"by":[22],"way":[23,86],"performing":[25],"basic":[26],"arithmetic":[27],"tasks,":[28],"while":[29],"the":[30,34,38,52,80,90,130,136,157],"aspect":[32],"comes":[36],"in":[37,84,111,162,168],"form":[39],"both":[41,94,156],"speech":[42,95,122],"and":[43,76,96,117,126,159],"physiological":[44,97,124],"responses":[45,91],"to":[46,57,61,78],"those":[47],"tasks.":[48],"goal":[50],"two-fold:":[55],"firstly":[56],"provide":[58,139],"an":[59],"alternative":[60],"existing":[62],"focused":[65],"datasets,":[66],"usually":[67],"based":[68],"around":[69],"Stroop":[70],"tasks":[71,83],"or":[72,123],"working":[73],"memory":[74],"tasks;":[75],"secondly":[77],"implement":[79],"that":[87],"would":[88],"make":[89],"appropriate":[92],"response":[98],"analysis,":[99],"ultimately":[100],"making":[101],"it":[102,151],"multimodal.":[103],"also":[106],"preliminary":[108],"benchmarks,":[110],"which":[112],"SVM":[113],"classifiers":[114,137],"were":[115],"trained":[116],"evaluated":[118],"solely":[119],"either":[121],"signals":[125],"combinations":[128],"two.":[131],"nature":[134],"may":[138],"improvements":[140],"results":[142],"this":[144],"inherently":[145],"challenging":[146],"machine":[147],"learning":[148],"problem":[149],"because":[150],"provides":[152],"more":[153],"data":[154],"about":[155],"intra-participant":[158],"inter-participant":[160],"differences":[161],"how":[163],"manifests":[166],"itself":[167],"affective":[169],"responses.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}