{"id":"https://openalex.org/W4287847209","doi":"https://doi.org/10.1109/bmsb55706.2022.9828712","title":"An Algorithm of Emotion Recognition And Valence of Drivers on Multimodal Data","display_name":"An Algorithm of Emotion Recognition And Valence of Drivers on Multimodal Data","publication_year":2022,"publication_date":"2022-06-15","ids":{"openalex":"https://openalex.org/W4287847209","doi":"https://doi.org/10.1109/bmsb55706.2022.9828712"},"language":"en","primary_location":{"id":"doi:10.1109/bmsb55706.2022.9828712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb55706.2022.9828712","pdf_url":null,"source":{"id":"https://openalex.org/S4363606279","display_name":"2022 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","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":"2022 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","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/A5101199315","display_name":"Lu Guo","orcid":"https://orcid.org/0000-0003-4369-2513"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Guo","raw_affiliation_strings":["Beijing Research Institute of China, Telecom Corporation Limited,Beijing,China","Beijing Research Institute of China, Telecom Corporation Limited, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Research Institute of China, Telecom Corporation Limited,Beijing,China","institution_ids":["https://openalex.org/I4210136246"]},{"raw_affiliation_string":"Beijing Research Institute of China, Telecom Corporation Limited, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050781579","display_name":"Yun Shen","orcid":"https://orcid.org/0000-0001-7863-8475"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Shen","raw_affiliation_strings":["Beijing Research Institute of China, Telecom Corporation Limited,Beijing,China","Beijing Research Institute of China, Telecom Corporation Limited, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Research Institute of China, Telecom Corporation Limited,Beijing,China","institution_ids":["https://openalex.org/I4210136246"]},{"raw_affiliation_string":"Beijing Research Institute of China, Telecom Corporation Limited, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034937387","display_name":"Peng Ding","orcid":"https://orcid.org/0000-0001-7814-6606"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Ding","raw_affiliation_strings":["Beijing Research Institute of China, Telecom Corporation Limited,Beijing,China","Beijing Research Institute of China, Telecom Corporation Limited, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Research Institute of China, Telecom Corporation Limited,Beijing,China","institution_ids":["https://openalex.org/I4210136246"]},{"raw_affiliation_string":"Beijing Research Institute of China, Telecom Corporation Limited, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9977999925613403,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/valence","display_name":"Valence (chemistry)","score":0.8076193928718567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7027195692062378},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6806354522705078},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6707285642623901},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.6110640168190002},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43667787313461304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4087378680706024},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3289175033569336},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3220362663269043},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.11840349435806274},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10896334052085876}],"concepts":[{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.8076193928718567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7027195692062378},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6806354522705078},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6707285642623901},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.6110640168190002},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43667787313461304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4087378680706024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3289175033569336},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3220362663269043},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.11840349435806274},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10896334052085876},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmsb55706.2022.9828712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb55706.2022.9828712","pdf_url":null,"source":{"id":"https://openalex.org/S4363606279","display_name":"2022 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","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":"2022 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W119403003","https://openalex.org/W1591801644","https://openalex.org/W1903029394","https://openalex.org/W1966797434","https://openalex.org/W1980331490","https://openalex.org/W2003238582","https://openalex.org/W2064675550","https://openalex.org/W2149628368","https://openalex.org/W2302255633","https://openalex.org/W2306394264","https://openalex.org/W2520774990","https://openalex.org/W2806051338","https://openalex.org/W2889504373","https://openalex.org/W2895035788","https://openalex.org/W2901337091","https://openalex.org/W2970891497","https://openalex.org/W3015477298","https://openalex.org/W3016333104","https://openalex.org/W3020519718","https://openalex.org/W3048648033","https://openalex.org/W3048768425","https://openalex.org/W3129944084","https://openalex.org/W3206241967","https://openalex.org/W4233045210","https://openalex.org/W6635446068","https://openalex.org/W6640054144","https://openalex.org/W6698169118","https://openalex.org/W6698183232","https://openalex.org/W6755154973","https://openalex.org/W6775911417","https://openalex.org/W6776879698"],"related_works":["https://openalex.org/W2118758177","https://openalex.org/W4330338194","https://openalex.org/W2153520307","https://openalex.org/W2151459719","https://openalex.org/W623261610","https://openalex.org/W2129455854","https://openalex.org/W3105646692","https://openalex.org/W4387914125","https://openalex.org/W3126677997","https://openalex.org/W1610857240"],"abstract_inverted_index":{"Recently,":[0],"autonomous":[1],"driving":[2],"technology":[3],"has":[4],"developed":[5],"rapidly,":[6],"the":[7,16,55,61,64,84,88,99,103],"behavior":[8],"monitoring":[9],"and":[10,29,34,40,43,49,70,81,109],"emotion":[11,32,47,65,113],"recognition":[12,33,48,69],"of":[13,22,57,63,66,102],"drivers":[14,67],"in":[15,83,112],"cabin":[17],"is":[18,93],"an":[19],"important":[20],"part":[21],"it.":[23],"Different":[24],"from":[25],"many":[26],"previous":[27],"rule-base":[28],"experience-based":[30],"driver":[31,46],"valence,":[35],"we":[36,97],"propose":[37],"a":[38],"simple":[39],"efficient":[41],"video":[42],"voice":[44,107],"data-driven":[45],"valence":[50,71,114],"method,":[51],"which":[52],"mainly":[53],"uses":[54],"structure":[56],"MS-CNN.":[58],"We":[59],"explore":[60],"performance":[62,101],"on":[68,105],"tasks.":[72],"The":[73,116],"binary":[74],"classification":[75],"can":[76],"obtain":[77],"about":[78,94],"0.75":[79],"precision":[80],"recall":[82],"testing":[85],"phase.":[86],"Under":[87],"multi-modal":[89,120],"regression":[90],"task,":[91],"MSE":[92],"0.448.":[95],"And":[96],"compare":[98],"final":[100],"model":[104],"single-modal":[106,125],"data":[108,111,121],"multimodal":[110],"task.":[115],"experiments":[117],"show":[118],"that":[119],"performs":[122],"better":[123],"than":[124],"data.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
