{"id":"https://openalex.org/W7128367746","doi":"https://doi.org/10.48550/arxiv.2602.06411","title":"DAH-Net: A Dual-Attention Hybrid Network for Interpretable and Robust EEG-Based Emotion Recognition","display_name":"DAH-Net: A Dual-Attention Hybrid Network for Interpretable and Robust EEG-Based Emotion Recognition","publication_year":2026,"publication_date":"2026-02-06","ids":{"openalex":"https://openalex.org/W7128367746","doi":"https://doi.org/10.48550/arxiv.2602.06411"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.06411","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125418971","display_name":"S M Rakib Ul Karim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karim, S M Rakib UI","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Bala, Diponkor","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bala, Diponkor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125425752","display_name":"Wenyi Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Wenyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092925980","display_name":"Rownak Ara Rasul","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rasul, Rownak Ara","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5037107679","display_name":"Sean Goggins","orcid":"https://orcid.org/0000-0002-7549-9446"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Goggins, Sean","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.12710687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9771000146865845,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9771000146865845,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.010400000028312206,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.0026000000070780516,"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/interpretability","display_name":"Interpretability","score":0.9143999814987183},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7171000242233276},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6589000225067139},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5486999750137329},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.5005000233650208},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.44859999418258667},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.39980000257492065},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.3880999982357025}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9143999814987183},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7171000242233276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6945000290870667},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6589000225067139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6503000259399414},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5486999750137329},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.5005000233650208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47130000591278076},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.44859999418258667},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.39980000257492065},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.3880999982357025},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3804999887943268},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.36160001158714294},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3465999960899353},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33399999141693115},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2678000032901764}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.06411","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.06411","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.06411","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.06411","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.577613890171051,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"EEG-based":[0,137],"emotion":[1,41],"recognition":[2],"supports":[3],"affective":[4,138],"brain-computer":[5],"interfaces":[6],"and":[7,19,32,69,81,96,142],"mental":[8],"health":[9],"monitoring":[10],"yet":[11],"remains":[12],"challenged":[13],"by":[14],"signal":[15],"complexity,":[16],"subject":[17],"variability,":[18],"limited":[20,113],"interpretability.":[21],"We":[22],"propose":[23],"DAH-Net,":[24],"a":[25,58],"dual-attention":[26],"hybrid":[27],"network":[28],"integrating":[29],"1D-CNN,":[30],"BiLSTM,":[31],"dual":[33],"multi-head":[34],"attention":[35],"(16+8":[36],"heads)":[37],"for":[38,134],"three-class":[39],"EEG":[40,49],"classification.":[42],"Evaluated":[43],"on":[44],"2,479":[45],"samples":[46],"with":[47,57],"988":[48],"features,":[50],"DAH-Net":[51],"achieves":[52],"99.19%":[53],"held-out":[54],"test":[55],"accuracy":[56,107],"0.81%":[59],"train-test":[60],"gap,":[61],"outperforming":[62],"RF":[63],"(96.17%),":[64],"SVM":[65],"(96.77%),":[66],"MLP":[67],"(97.18%),":[68],"Transformer":[70],"(98.19%)":[71],"baselines.":[72],"Friedman":[73],"testing":[74],"(\\c{hi}2":[75],"=":[76],"28.54,":[77],"p":[78],"<":[79],"0.001)":[80],"post-hoc":[82],"Wilcoxon":[83],"comparisons":[84],"confirm":[85],"statistical":[86],"significance.":[87],"Feature-level":[88],"analysis":[89],"using":[90,129],"Random":[91],"Forest":[92],"importance,":[93],"SHAP":[94],"attribution,":[95],"feature":[97],"category":[98],"isolation":[99],"shows":[100],"that":[101],"covariance":[102],"features":[103,111],"achieve":[104],"near-baseline":[105],"standalone":[106,114],"(94.96%),":[108],"while":[109],"eigenvalue":[110],"show":[112],"performance":[115],"(84.07%)":[116],"but":[117],"provide":[118],"compact":[119,123],"complementary":[120],"information.":[121],"The":[122],"architecture":[124],"(3.33M":[125],"parameters,":[126],"approximately":[127],"13.3MB":[128],"32-bit":[130],"weights)":[131],"suggests":[132],"potential":[133],"future":[135],"lightweight":[136],"computing,":[139],"pending":[140],"subject-independent":[141],"external":[143],"validation.":[144]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-02-10T00:00:00"}