{"id":"https://openalex.org/W4402721962","doi":"https://doi.org/10.1145/3675094.3677582","title":"pSCOUTER: Time-Series Emotion Classification Using Contactless Measured Multimodal Biosignals in Medical Diagnosis","display_name":"pSCOUTER: Time-Series Emotion Classification Using Contactless Measured Multimodal Biosignals in Medical Diagnosis","publication_year":2024,"publication_date":"2024-09-22","ids":{"openalex":"https://openalex.org/W4402721962","doi":"https://doi.org/10.1145/3675094.3677582"},"language":"en","primary_location":{"id":"doi:10.1145/3675094.3677582","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3675094.3677582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing","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/A5086791044","display_name":"Homura Kawamura","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Homura Kawamura","raw_affiliation_strings":["Graduate School of Science and Technology, University of Tsukuba, Tsukuba, Japan"],"raw_orcid":"https://orcid.org/0009-0006-3321-9764","affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhaolong Wang","orcid":"https://orcid.org/0009-0004-6551-0017"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhaolong Wang","raw_affiliation_strings":["Graduate School of Science and Technology, University of Tsukuba, Tsukuba, Japan"],"raw_orcid":"https://orcid.org/0009-0004-6551-0017","affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109914845","display_name":"K. Harima","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kotone Harima","raw_affiliation_strings":["College of Engineering Systems, University of Tsukuba, Tsukuba, Japan"],"raw_orcid":"https://orcid.org/0009-0002-6615-7492","affiliations":[{"raw_affiliation_string":"College of Engineering Systems, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113642130","display_name":"T. Yamanishi","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatuya Yamanishi","raw_affiliation_strings":["College of Engineering Systems, University of Tsukuba, Tsukuba, Japan"],"raw_orcid":"https://orcid.org/0009-0003-9459-9375","affiliations":[{"raw_affiliation_string":"College of Engineering Systems, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113395182","display_name":"Tomohumi Miura","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145079","display_name":"National Cancer Center Hospital East","ror":"https://ror.org/03rm3gk43","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210145079"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohumi Miura","raw_affiliation_strings":["Department of Palliative Medicine, National Cancer Center Hospital East, Kashiwa, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7031-7279","affiliations":[{"raw_affiliation_string":"Department of Palliative Medicine, National Cancer Center Hospital East, Kashiwa, Japan","institution_ids":["https://openalex.org/I4210145079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101182918","display_name":"Yuka Maeda","orcid":"https://orcid.org/0009-0008-9221-4423"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuka Maeda","raw_affiliation_strings":["Institute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan"],"raw_orcid":"https://orcid.org/0009-0008-9221-4423","affiliations":[{"raw_affiliation_string":"Institute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000544048","display_name":"Yukihiko Okada","orcid":"https://orcid.org/0000-0003-4903-4191"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukihiko Okada","raw_affiliation_strings":["Institute of Systems and Information Engineering, University of Tsukuba &amp; Center for Artificial Intelligence Research, University of Tsukuba, Tsukuba, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4903-4191","affiliations":[{"raw_affiliation_string":"Institute of Systems and Information Engineering, University of Tsukuba &amp; Center for Artificial Intelligence Research, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066587732","display_name":"Keiichi Zempo","orcid":"https://orcid.org/0000-0003-2339-5298"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiichi Zempo","raw_affiliation_strings":["Institute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan"],"raw_orcid":"https://orcid.org/0000-0003-2339-5298","affiliations":[{"raw_affiliation_string":"Institute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5086791044"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":1.4405,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.830898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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/T12496","display_name":"Color perception and design","score":0.946399986743927,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.942799985408783,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/series","display_name":"Series (stratigraphy)","score":0.6756807565689087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5782241821289062},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.512390673160553},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4271026849746704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40856894850730896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29777997732162476},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06586611270904541}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6756807565689087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5782241821289062},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.512390673160553},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4271026849746704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40856894850730896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29777997732162476},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06586611270904541},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3675094.3677582","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3675094.3677582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1982927468","https://openalex.org/W2132889650","https://openalex.org/W2142159828","https://openalex.org/W2149628368","https://openalex.org/W2565944610","https://openalex.org/W2794586889","https://openalex.org/W2901027086","https://openalex.org/W2938801270","https://openalex.org/W4205527732","https://openalex.org/W4220675136","https://openalex.org/W4310460155","https://openalex.org/W4378470708","https://openalex.org/W4389577293"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Effective":[0],"communication":[1],"between":[2],"doctors":[3,35],"and":[4,12,45,59,76,103,126,138,197],"patients":[5,63],"significantly":[6],"impacts":[7],"the":[8,101,130,135,147,163,173],"quality":[9],"of":[10,118,143,175],"diagnosis":[11],"treatment,":[13],"especially":[14],"in":[15,30,141,161,166,188],"emotionally":[16],"challenging":[17],"situations":[18],"such":[19],"as":[20],"cancer":[21,72,78],"diagnosis.":[22,79],"This":[23,153,170],"study":[24,171],"aims":[25],"to":[26,54,98,184,193],"enhance":[27,194],"emotion":[28,186],"recognition":[29],"clinical":[31],"settings":[32],"by":[33],"providing":[34],"with":[36,180],"feedback":[37],"on":[38,114],"patients'":[39],"emotions":[40],"using":[41],"non-contact":[42,177],"multimodal":[43,167],"biosignals":[44],"an":[46],"LSTM":[47,102,131,156],"model.":[48],"The":[49,80],"pSCOUTER":[50],"system":[51],"was":[52],"used":[53,97],"non-invasively":[55],"collect":[56],"heart":[57],"rate":[58],"respiratory":[60],"signals":[61,82],"from":[62,88],"during":[64],"simulated":[65],"medical":[66,189],"consultations":[67],"for":[68],"three":[69],"scenarios:":[70],"initial":[71],"diagnosis,":[73,75],"recurrence/metastasis":[74],"terminal":[77],"collected":[81],"were":[83,92,96,108],"segmented":[84],"into":[85,110],"5-second":[86],"intervals,":[87],"which":[89],"20":[90],"features":[91,95],"extracted.":[93],"These":[94],"train":[99],"both":[100,134],"GPT4-omni":[104,136],"models.":[105],"Emotion":[106],"labels":[107],"classified":[109],"seven":[111],"categories":[112],"based":[113],"Russell's":[115],"circumplex":[116],"model":[117,132,137],"affect:":[119],"Happy,":[120],"Relaxed,":[121],"Disgust,":[122],"Sad,":[123],"Upset,":[124],"Fear,":[125],"Surprised.As":[127],"a":[128],"result,":[129],"outperformed":[133],"doctors'":[139],"predictions":[140],"terms":[142],"F1":[144],"score,":[145],"demonstrating":[146],"highest":[148],"accuracy":[149],"across":[150],"all":[151],"scenarios.":[152],"suggests":[154],"that":[155],"networks":[157],"are":[158],"highly":[159],"effective":[160],"capturing":[162],"temporal":[164],"dependencies":[165],"physiological":[168],"data.":[169],"highlights":[172],"potential":[174],"integrating":[176],"biosignal":[178],"measurement":[179],"machine":[181],"learning":[182],"techniques":[183],"improve":[185],"understanding":[187],"settings,":[190],"ultimately":[191],"aiming":[192],"patient":[195],"care":[196],"satisfaction.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
