{"id":"https://openalex.org/W4387421777","doi":"https://doi.org/10.1145/3577190.3614159","title":"Performance Exploration of RNN Variants for Recognizing Daily Life Stress Levels by Using Multimodal Physiological Signals","display_name":"Performance Exploration of RNN Variants for Recognizing Daily Life Stress Levels by Using Multimodal Physiological Signals","publication_year":2023,"publication_date":"2023-10-07","ids":{"openalex":"https://openalex.org/W4387421777","doi":"https://doi.org/10.1145/3577190.3614159"},"language":"en","primary_location":{"id":"doi:10.1145/3577190.3614159","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577190.3614159","pdf_url":null,"source":{"id":"https://openalex.org/S4363608440","display_name":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","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":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","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/A5048205055","display_name":"Yekta Said Can","orcid":"https://orcid.org/0000-0002-6614-0183"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Yekta Said Can","raw_affiliation_strings":["Chair for human-centered artificial intelligence, Augsburg University, Germany"],"raw_orcid":"https://orcid.org/0000-0002-6614-0183","affiliations":[{"raw_affiliation_string":"Chair for human-centered artificial intelligence, Augsburg University, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056684559","display_name":"Elisabeth Andr\u00e9","orcid":"https://orcid.org/0000-0002-2367-162X"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Elisabeth Andr\u00e9","raw_affiliation_strings":["Human-Centered Multimedia Lab, Augsburg University, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2367-162X","affiliations":[{"raw_affiliation_string":"Human-Centered Multimedia Lab, Augsburg University, Germany","institution_ids":["https://openalex.org/I179225836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048205055"],"corresponding_institution_ids":["https://openalex.org/I179225836"],"apc_list":null,"apc_paid":null,"fwci":2.6353,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.91578947,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"481","last_page":"487"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9959999918937683,"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":0.9959999918937683,"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":0.9905999898910522,"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"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7392227649688721},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6897796392440796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5806720852851868},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5098428130149841},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.5011215209960938},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4932824969291687},{"id":"https://openalex.org/keywords/activities-of-daily-living","display_name":"Activities of daily living","score":0.43189841508865356},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4203776717185974},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.28491729497909546},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0901477038860321},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.07472735643386841}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7392227649688721},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6897796392440796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5806720852851868},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5098428130149841},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.5011215209960938},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4932824969291687},{"id":"https://openalex.org/C79544238","wikidata":"https://www.wikidata.org/wiki/Q423243","display_name":"Activities of daily living","level":2,"score":0.43189841508865356},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4203776717185974},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28491729497909546},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0901477038860321},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.07472735643386841},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3577190.3614159","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577190.3614159","pdf_url":null,"source":{"id":"https://openalex.org/S4363608440","display_name":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","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":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5720379377","display_name":null,"funder_award_id":"Leibniz award (AN 559/10-1)","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1239497932","https://openalex.org/W1972131791","https://openalex.org/W2032512569","https://openalex.org/W2161365979","https://openalex.org/W2184481998","https://openalex.org/W2492893994","https://openalex.org/W2520289546","https://openalex.org/W2522580204","https://openalex.org/W2742338588","https://openalex.org/W2954948187","https://openalex.org/W3005353690","https://openalex.org/W3011735246","https://openalex.org/W3040849424","https://openalex.org/W3128352929","https://openalex.org/W3184120584","https://openalex.org/W3190620939","https://openalex.org/W3216362934"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W2071210425","https://openalex.org/W2964335273","https://openalex.org/W2982145560","https://openalex.org/W3008584592"],"abstract_inverted_index":{"Enduring":[0],"stress":[1,24,31,111,144],"can":[2],"have":[3,34],"negative":[4],"impacts":[5],"on":[6],"human":[7],"health":[8],"and":[9,20,103,136],"behavior.":[10],"Widely":[11],"used":[12],"wearable":[13],"devices":[14,70],"are":[15,71],"promising":[16],"for":[17,107,140],"assessing,":[18],"monitoring":[19],"potentially":[21],"alleviating":[22],"high":[23,43],"in":[25,38,60,148],"daily":[26,48,109,142],"life.":[27],"Although":[28],"numerous":[29],"automatic":[30],"recognition":[32],"studies":[33,50],"been":[35,96],"carried":[36],"out":[37],"the":[39,45,57,64,89,149],"laboratory":[40,61],"environment":[41],"with":[42,100,117],"accuracy,":[44],"performance":[46,90,139],"of":[47,91],"life":[49,110,143],"is":[51],"still":[52],"far":[53],"away":[54],"from":[55,68],"what":[56],"literature":[58],"has":[59,94],"environments.":[62],"Since":[63],"physiological":[65],"signals":[66],"obtained":[67],"these":[69],"time-series":[72],"data,":[73],"Recursive":[74],"Neural":[75],"Network":[76],"(RNN)":[77],"based":[78],"classifiers":[79,93],"promise":[80],"better":[81],"results":[82],"than":[83],"other":[84],"machine":[85],"learning":[86],"methods.":[87],"However,":[88],"RNN-based":[92],"not":[95],"extensively":[97],"evaluated":[98],"(i.e.,":[99],"several":[101],"variants":[102,135],"different":[104,132],"application":[105],"techniques)":[106],"detecting":[108],"yet.":[112],"They":[113],"could":[114],"be":[115],"combined":[116],"CNN":[118],"architectures,":[119],"applied":[120],"to":[121,145],"raw":[122],"data":[123],"or":[124],"handcrafted":[125],"features.":[126],"In":[127],"this":[128],"study,":[129],"we":[130],"created":[131],"RNN":[133],"architecture":[134],"explored":[137],"their":[138],"recognizing":[141],"guide":[146],"researchers":[147],"field.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
