{"id":"https://openalex.org/W2954657418","doi":"https://doi.org/10.1145/3329189.3329222","title":"Recognition of Affective States in Virtual Rehabilitation using Late Fusion with Semi-Naive Bayesian Classifier","display_name":"Recognition of Affective States in Virtual Rehabilitation using Late Fusion with Semi-Naive Bayesian Classifier","publication_year":2019,"publication_date":"2019-05-20","ids":{"openalex":"https://openalex.org/W2954657418","doi":"https://doi.org/10.1145/3329189.3329222","mag":"2954657418"},"language":"en","primary_location":{"id":"doi:10.1145/3329189.3329222","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3329189.3329222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare","raw_type":"proceedings-article"},"type":"article","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/A5065429835","display_name":"Jes\u00fas Joel Rivas","orcid":"https://orcid.org/0000-0003-1462-6576"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Jes\u00fas Joel Rivas","raw_affiliation_strings":["Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE), Puebla, M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE), Puebla, M\u00e9xico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052083259","display_name":"Felipe Orihuela\u2010Espina","orcid":"https://orcid.org/0000-0001-8963-7283"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Felipe Orihuela-Espina","raw_affiliation_strings":["Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE), Puebla, M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE), Puebla, M\u00e9xico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044189592","display_name":"Luis Enrique Sucar","orcid":"https://orcid.org/0000-0002-3685-5567"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Luis Enrique Sucar","raw_affiliation_strings":["Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE), Puebla, M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE), Puebla, M\u00e9xico","institution_ids":["https://openalex.org/I39824353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065429835"],"corresponding_institution_ids":["https://openalex.org/I39824353"],"apc_list":null,"apc_paid":null,"fwci":0.8073,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.75907591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"308","last_page":"313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9969000220298767,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9635000228881836,"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/rehabilitation","display_name":"Rehabilitation","score":0.7179619669914246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5561875104904175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5419195294380188},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.5042403936386108},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.49476903676986694},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.48410141468048096},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.479892373085022},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47954699397087097},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.4485253393650055},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4287780225276947},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39496076107025146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36490398645401},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.33937162160873413},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.29463160037994385},{"id":"https://openalex.org/keywords/physical-therapy","display_name":"Physical therapy","score":0.21688377857208252},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20351004600524902}],"concepts":[{"id":"https://openalex.org/C2778818304","wikidata":"https://www.wikidata.org/wiki/Q1819478","display_name":"Rehabilitation","level":2,"score":0.7179619669914246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5561875104904175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5419195294380188},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.5042403936386108},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.49476903676986694},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.48410141468048096},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.479892373085022},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47954699397087097},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.4485253393650055},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4287780225276947},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39496076107025146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36490398645401},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33937162160873413},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.29463160037994385},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.21688377857208252},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20351004600524902}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3329189.3329222","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3329189.3329222","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/55e855ac-6fd7-455f-9943-2ffddadbe060","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/55e855ac-6fd7-455f-9943-2ffddadbe060","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Rivas, J J, Orihuela-Espina, F & Sucar, L E 2019, Recognition of affective states in virtual rehabilitation using late fusion with semi-Naive Bayesian classifier. in Workshop of Affective Computing in Pervasive Health in Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare (Pervasive Health 2019) : ACM International Conference Proceeding Series. Association for Computing Machinery (ACM), pp. 308. https://doi.org/10.1145/3329189.3329222","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.atira.dk:publications/55e855ac-6fd7-455f-9943-2ffddadbe060","is_oa":false,"landing_page_url":"https://birmingham.elsevierpure.com/en/publications/55e855ac-6fd7-455f-9943-2ffddadbe060","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Rivas, J J, Orihuela-Espina, F & Sucar, L E 2019, Recognition of affective states in virtual rehabilitation using late fusion with semi-Naive Bayesian classifier. in Workshop of Affective Computing in Pervasive Health in Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare (Pervasive Health 2019) : ACM International Conference Proceeding Series. Association for Computing Machinery (ACM), pp. 308. https://doi.org/10.1145/3329189.3329222","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/94228","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/94228","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"13th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth)","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.41999998688697815,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1520214690","https://openalex.org/W1985867508","https://openalex.org/W1989126352","https://openalex.org/W2071954570","https://openalex.org/W2122098299","https://openalex.org/W2132680170","https://openalex.org/W2135483369","https://openalex.org/W2163166770","https://openalex.org/W2171376530","https://openalex.org/W2584561145","https://openalex.org/W2590966124","https://openalex.org/W2908176280","https://openalex.org/W3017143921","https://openalex.org/W3105907928","https://openalex.org/W3140817226"],"related_works":["https://openalex.org/W2394466068","https://openalex.org/W1987683558","https://openalex.org/W3000714840","https://openalex.org/W2726838704","https://openalex.org/W4294974825","https://openalex.org/W2967400911","https://openalex.org/W2943580202","https://openalex.org/W4241017176","https://openalex.org/W4220802396","https://openalex.org/W4361829742"],"abstract_inverted_index":{"Virtual":[0],"rehabilitation":[1,6,94],"platforms":[2],"may":[3],"tailor":[4],"the":[5,9,16,103,110,127,136],"tasks":[7],"to":[8,59],"patients'":[10],"needs":[11],"if":[12,28],"they":[13,29,91],"could":[14],"recognize":[15],"patient's":[17],"affective":[18,55,139],"state.":[19],"Affective":[20],"states":[21,56,105,140],"recognition":[22,57,141],"systems":[23,142],"can":[24],"enhance":[25],"their":[26],"performance":[27],"receive":[30],"data":[31],"coming":[32],"from":[33,68,86],"different":[34],"sensors":[35],"of":[36,71,79,109,120,124,138],"human":[37],"behaviour.":[38],"In":[39],"this":[40],"work,":[41],"we":[42],"propose":[43],"a":[44,53,117],"late":[45],"Fusion":[46],"using":[47],"Semi-Naive":[48],"Bayesian":[49],"classifier":[50,112],"(FSNB)":[51],"as":[52],"multimodal":[54],"system":[58],"infer":[60],"four":[61,128],"states:":[62],"tiredness,":[63],"anxiety,":[64],"pain,":[65],"and":[66,76],"motivation,":[67],"observable":[69],"metrics":[70],"fingers":[72],"pressure,":[73],"hand":[74],"movements,":[75],"facial":[77],"expressions":[78],"post-stroke":[80,88],"patients.":[81],"Data":[82],"streams":[83],"were":[84,113],"recorded":[85],"5":[87],"patients":[89],"while":[90],"attended":[92],"virtual":[93,144],"therapies":[95],"along":[96],"10":[97],"sessions":[98],"over":[99,114],"4":[100],"weeks,":[101],"manifesting":[102],"aforementioned":[104],"spontaneously.":[106],"Recognition":[107],"rates":[108],"FSNB":[111],"90%":[115],"(with":[116],"standard":[118],"deviation":[119],"around":[121],"\u00b1":[122],"0.06)":[123],"AUC":[125],"for":[126,134],"states.":[129],"These":[130],"results":[131],"represent":[132],"contributions":[133],"enhancing":[135],"development":[137],"in":[143],"rehabilitation.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}