{"id":"https://openalex.org/W2943643445","doi":"https://doi.org/10.1109/aicas.2019.8771622","title":"Hyperdimensional Computing-based Multimodality Emotion Recognition with Physiological Signals","display_name":"Hyperdimensional Computing-based Multimodality Emotion Recognition with Physiological Signals","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2943643445","doi":"https://doi.org/10.1109/aicas.2019.8771622","mag":"2943643445"},"language":"en","primary_location":{"id":"doi:10.1109/aicas.2019.8771622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas.2019.8771622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ieeexplore.ieee.org/document/8771622","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083523986","display_name":"En-Jui Chang","orcid":"https://orcid.org/0000-0002-9851-5912"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"En-Jui Chang","raw_affiliation_strings":["Integrated System Laboratory, ETH, Zurich"],"affiliations":[{"raw_affiliation_string":"Integrated System Laboratory, ETH, Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050167359","display_name":"Abbas Rahimi","orcid":"https://orcid.org/0000-0003-3141-4970"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Abbas Rahimi","raw_affiliation_strings":["Integrated System Laboratory, ETH, Zurich"],"affiliations":[{"raw_affiliation_string":"Integrated System Laboratory, ETH, Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043408422","display_name":"Luca Benini","orcid":"https://orcid.org/0000-0001-8068-3806"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Benini","raw_affiliation_strings":["University of Bologna"],"affiliations":[{"raw_affiliation_string":"University of Bologna","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109465340","display_name":"An-Yeu Wu","orcid":"https://orcid.org/0000-0003-4731-8633"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"An-Yeu Andy Wu","raw_affiliation_strings":["National Taiwan University"],"affiliations":[{"raw_affiliation_string":"National Taiwan University","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083523986"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":4.5997,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.95340126,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9958999752998352,"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":0.7028675079345703},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6844412088394165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5805027484893799},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5168600678443909},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.47289764881134033},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.45370951294898987},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4439038634300232},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42549169063568115},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3969823718070984},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3789801299571991},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.25837844610214233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7028675079345703},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6844412088394165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5805027484893799},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5168600678443909},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.47289764881134033},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.45370951294898987},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4439038634300232},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42549169063568115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3969823718070984},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3789801299571991},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.25837844610214233},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/aicas.2019.8771622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas.2019.8771622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/729767","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/8771622","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/315807","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/315807","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/376957","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/376957","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.3929/ethz-b-000315807","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-b-000315807","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:cris.unibo.it:11585/729767","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/8771622","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1981648298","https://openalex.org/W1994405094","https://openalex.org/W2002055708","https://openalex.org/W2070862086","https://openalex.org/W2131274108","https://openalex.org/W2139795045","https://openalex.org/W2165857685","https://openalex.org/W2547146855","https://openalex.org/W2554538030","https://openalex.org/W2580157614","https://openalex.org/W2583857261","https://openalex.org/W2587612911","https://openalex.org/W2593564159","https://openalex.org/W2624514417","https://openalex.org/W2731964405","https://openalex.org/W2736172195","https://openalex.org/W2750066038","https://openalex.org/W2791598392","https://openalex.org/W2796260258","https://openalex.org/W2804419299","https://openalex.org/W2885068312","https://openalex.org/W2895910969","https://openalex.org/W2962967667","https://openalex.org/W6732421801","https://openalex.org/W6741216485","https://openalex.org/W6753569493","https://openalex.org/W6755448346"],"related_works":["https://openalex.org/W1657880117","https://openalex.org/W2595172197","https://openalex.org/W2127970246","https://openalex.org/W4362650935","https://openalex.org/W2904925713","https://openalex.org/W2964266095","https://openalex.org/W4310841718","https://openalex.org/W2798573901","https://openalex.org/W2978360381","https://openalex.org/W2807708078"],"abstract_inverted_index":{"To":[0,70],"interact":[1],"naturally":[2],"and":[3,9,33,80,95,124,130,138,166],"achieve":[4,90],"mutual":[5],"sympathy":[6],"between":[7,31,93],"humans":[8],"machines,":[10],"emotion":[11,32,44],"recognition":[12],"is":[13],"one":[14],"of":[15,51,55,98],"the":[16,28,49,96,147,151,188,195],"most":[17],"important":[18],"function":[19],"to":[20,27,48,89,115,146,186],"realize":[21],"advanced":[22],"human-computer":[23],"interaction":[24],"devices.":[25],"Due":[26],"high":[29,87],"correlation":[30],"involuntary":[34],"physiological":[35,37],"changes,":[36],"signals":[38],"are":[39],"a":[40,52,59,67,86,91,120],"prime":[41],"candidate":[42],"for":[43,58,160],"analysis.":[45],"However,":[46],"due":[47],"need":[50],"huge":[53],"amount":[54,97],"training":[56,100,153,174],"data":[57],"high-quality":[60],"machine":[61],"learning":[62,82,196],"model,":[63],"computational":[64,83],"complexity":[65],"becomes":[66],"major":[68],"bottleneck.":[69],"overcome":[71],"this":[72],"issue,":[73],"brain-inspired":[74],"hyperdimensional":[75],"(HD)":[76],"computing,":[77],"an":[78,104],"energy-efficient":[79],"fast":[81],"paradigm,":[84],"has":[85],"potential":[88],"balance":[92],"accuracy":[94,159,184],"necessary":[99],"data.":[101,175],"We":[102],"propose":[103],"HD":[105,117],"Computing-based":[106],"Multimodality":[107],"Emotion":[108],"Recognition":[109],"(HDC-MER).":[110],"HDCMER":[111],"maps":[112],"real-valued":[113],"features":[114],"binary":[116],"vectors":[118],"using":[119,150,171],"random":[121],"nonlinear":[122],"function,":[123],"further":[125],"encodes":[126],"them":[127],"over":[128],"time,":[129],"fuses":[131],"across":[132],"different":[133],"modalities":[134],"including":[135],"GSR,":[136],"ECG,":[137],"EEG.":[139],"The":[140],"experimental":[141],"results":[142],"show":[143],"that,":[144],"compared":[145,185],"best":[148],"method":[149],"full":[152],"data,":[154],"HDC-MER":[155,176],"achieves":[156,178],"higher":[157,182],"classification":[158],"both":[161],"valence":[162],"(83.2%":[163],"vs.":[164,169],"80.1%)":[165],"arousal":[167],"(70.1%":[168],"68.4%)":[170],"only":[172],"1/4":[173],"also":[177],"at":[179],"least":[180],"5%":[181],"averaged":[183],"all":[187],"other":[189],"methods":[190],"in":[191],"any":[192],"point":[193],"along":[194],"curve.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":9}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
