{"id":"https://openalex.org/W2533298663","doi":"https://doi.org/10.1109/embc.2016.7590834","title":"Gaussian process dynamical models for multimodal affect recognition","display_name":"Gaussian process dynamical models for multimodal affect recognition","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2533298663","doi":"https://doi.org/10.1109/embc.2016.7590834","mag":"2533298663","pmid":"https://pubmed.ncbi.nlm.nih.gov/28268457"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2016.7590834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7590834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5110621254","display_name":"Hern\u00e1n F. Garc\u00eda","orcid":null},"institutions":[{"id":"https://openalex.org/I200183955","display_name":"Technological University of Pereira","ror":"https://ror.org/01d981710","country_code":"CO","type":"education","lineage":["https://openalex.org/I200183955"]},{"id":"https://openalex.org/I135437138","display_name":"University of Quind\u00edo","ror":"https://ror.org/01358s213","country_code":"CO","type":"education","lineage":["https://openalex.org/I135437138"]}],"countries":["CO"],"is_corresponding":true,"raw_author_name":"Hernan F. Garcia","raw_affiliation_strings":["Department of Electrical Engineering, Universidad Tecnol\u00f3gica de Pereira, Pereira, Colombia","Department of Engineering, Universidad del Quind\u00edo, Armenia, Colombia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universidad Tecnol\u00f3gica de Pereira, Pereira, Colombia","institution_ids":["https://openalex.org/I200183955"]},{"raw_affiliation_string":"Department of Engineering, Universidad del Quind\u00edo, Armenia, Colombia","institution_ids":["https://openalex.org/I135437138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007248971","display_name":"Mauricio A. \u00c1lvarez","orcid":"https://orcid.org/0000-0002-8980-4472"},"institutions":[{"id":"https://openalex.org/I200183955","display_name":"Technological University of Pereira","ror":"https://ror.org/01d981710","country_code":"CO","type":"education","lineage":["https://openalex.org/I200183955"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Mauricio A. Alvarez","raw_affiliation_strings":["Department of Electrical Engineering, Universidad Tecnol\u00f3gica de Pereira, Pereira, Colombia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universidad Tecnol\u00f3gica de Pereira, Pereira, Colombia","institution_ids":["https://openalex.org/I200183955"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012268339","display_name":"\u00c1lvaro A. Orozco","orcid":"https://orcid.org/0000-0002-1167-1446"},"institutions":[{"id":"https://openalex.org/I200183955","display_name":"Technological University of Pereira","ror":"https://ror.org/01d981710","country_code":"CO","type":"education","lineage":["https://openalex.org/I200183955"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Alvaro A. Orozco","raw_affiliation_strings":["Department of Electrical Engineering, Universidad Tecnol\u00f3gica de Pereira, Pereira, Colombia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universidad Tecnol\u00f3gica de Pereira, Pereira, Colombia","institution_ids":["https://openalex.org/I200183955"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110621254"],"corresponding_institution_ids":["https://openalex.org/I135437138","https://openalex.org/I200183955"],"apc_list":null,"apc_paid":null,"fwci":1.9234,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.86877584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"2016","issue":null,"first_page":"850","last_page":"853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9980999827384949,"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":0.9980999827384949,"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/T13283","display_name":"Mental Health Research Topics","score":0.9940999746322632,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9749000072479248,"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":0.6737711429595947},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6325958371162415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5828792452812195},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.5772863626480103},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5332505106925964},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.45525822043418884},{"id":"https://openalex.org/keywords/state-space-representation","display_name":"State-space representation","score":0.4540385603904724},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4534466862678528},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.42993301153182983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37886524200439453},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.35489538311958313},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1475161910057068},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11761754751205444}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737711429595947},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6325958371162415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5828792452812195},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.5772863626480103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5332505106925964},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.45525822043418884},{"id":"https://openalex.org/C52918065","wikidata":"https://www.wikidata.org/wiki/Q230945","display_name":"State-space representation","level":2,"score":0.4540385603904724},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4534466862678528},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.42993301153182983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37886524200439453},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.35489538311958313},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1475161910057068},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11761754751205444},{"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[{"descriptor_ui":"D000339","descriptor_name":"Affect","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000339","descriptor_name":"Affect","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000339","descriptor_name":"Affect","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001143","descriptor_name":"Arousal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001143","descriptor_name":"Arousal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001143","descriptor_name":"Arousal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008960","descriptor_name":"Models, Psychological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008960","descriptor_name":"Models, Psychological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008960","descriptor_name":"Models, Psychological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2016.7590834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7590834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:28268457","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28268457","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309955","display_name":"Departamento Administrativo de Ciencia, Tecnolog\u00eda e Innovaci\u00f3n (COLCIENCIAS)","ror":"https://ror.org/048jthh02"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1609907549","https://openalex.org/W1923565741","https://openalex.org/W2002055708","https://openalex.org/W2016171011","https://openalex.org/W2025216571","https://openalex.org/W2037960784","https://openalex.org/W2077697924","https://openalex.org/W2103108187","https://openalex.org/W2112945682","https://openalex.org/W2124609748","https://openalex.org/W2133294540","https://openalex.org/W2136111243","https://openalex.org/W2138206939","https://openalex.org/W2143899944","https://openalex.org/W2154129660","https://openalex.org/W2164699598","https://openalex.org/W2227023164","https://openalex.org/W2230936439","https://openalex.org/W6680375596"],"related_works":["https://openalex.org/W2733753409","https://openalex.org/W2740144240","https://openalex.org/W4249408726","https://openalex.org/W4379184815","https://openalex.org/W4310841718","https://openalex.org/W4288071994","https://openalex.org/W4220757632","https://openalex.org/W4311839649","https://openalex.org/W2959282771","https://openalex.org/W4285052347"],"abstract_inverted_index":{"Affective":[0],"computing":[1],"systems":[2,11],"has":[3],"a":[4,23,47,71,87,106,127,157],"great":[5],"potential":[6],"in":[7,50,105,142],"applications":[8],"for":[9,73],"biofeedback":[10],"and":[12,160],"cognitive":[13],"conductual":[14],"therapies.":[15],"Here,":[16],"by":[17,118],"analyzing":[18],"the":[19,29,51,58,113,116,120,135,138,143,151],"physiological":[20,79,103,158],"behavior":[21],"of":[22,32,44,57,137],"given":[24],"subject,":[25],"we":[26,69],"can":[27,38,154],"infer":[28],"affective":[30,59,144,166],"state":[31,60],"an":[33,63,165],"emotional":[34,64],"process.":[35,65,146,167],"Since,":[36],"emotions":[37],"be":[39],"modeled":[40],"as":[41],"dynamic":[42,74],"manifestations":[43],"these":[45],"signals,":[46],"continuous":[48],"analysis":[49],"valence/arousal":[52],"space,":[53],"brings":[54],"more":[55],"information":[56],"related":[61],"to":[62,115,133],"In":[66],"this":[67],"paper":[68],"propose":[70],"method":[72,153],"affect":[75],"recognition":[76,145],"from":[77],"multimodal":[78],"signals.":[80],"Our":[81],"model":[82,117,156],"is":[83,131],"based":[84],"on":[85],"learning":[86,119],"latent":[88,93,109,121,139],"space":[89,140],"using":[90],"Gaussian":[91],"process":[92],"variable":[94],"models":[95],"(GP-LVM),":[96],"which":[97],"maps":[98],"high":[99,163],"dimensional":[100,108],"data":[101],"(multimodal":[102],"signals)":[104],"low":[107],"space.":[110],"We":[111],"incorporate":[112],"dynamics":[114],"representation,":[122],"with":[123,162],"associated":[124],"dynamics.":[125],"Finally,":[126],"support":[128],"vector":[129],"classifier":[130],"implemented":[132],"evaluate":[134],"relevance":[136],"features":[141],"The":[147],"results":[148],"show":[149],"that":[150],"proposed":[152],"efficiently":[155],"time-series":[159],"recognize":[161],"accuracy":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}