{"id":"https://openalex.org/W4405113355","doi":"https://doi.org/10.1016/j.procs.2024.11.119","title":"SereniSens: a Multimodal AI Framework with LLMs for Stress Prediction through Sleep Biometrics","display_name":"SereniSens: a Multimodal AI Framework with LLMs for Stress Prediction through Sleep Biometrics","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4405113355","doi":"https://doi.org/10.1016/j.procs.2024.11.119"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2024.11.119","doi":"https://doi.org/10.1016/j.procs.2024.11.119","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2024.11.119","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2024.11.119","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115031678","display_name":"Othman Wahab","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I182451676","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Rimouski","ror":"https://ror.org/049jtt335","country_code":"CA","type":"education","lineage":["https://openalex.org/I182451676","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I49663120","display_name":"Universit\u00e9 du Qu\u00e9bec","ror":"https://ror.org/010gxg263","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Othman Wahab","raw_affiliation_strings":["Department of Mathematics, Computer Science and Engineering, University of Quebec at Rimouski, Quebec, Rimouski, G5L 3A1, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Computer Science and Engineering, University of Quebec at Rimouski, Quebec, Rimouski, G5L 3A1, Canada","institution_ids":["https://openalex.org/I182451676","https://openalex.org/I49663120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083108215","display_name":"Mehdi Adda","orcid":"https://orcid.org/0000-0002-5327-1758","observed_orcids":["https://orcid.org/0000-0002-5327-1758"]},"institutions":[{"id":"https://openalex.org/I182451676","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Rimouski","ror":"https://ror.org/049jtt335","country_code":"CA","type":"education","lineage":["https://openalex.org/I182451676","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I49663120","display_name":"Universit\u00e9 du Qu\u00e9bec","ror":"https://ror.org/010gxg263","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mehdi Adda","raw_affiliation_strings":["Department of Mathematics, Computer Science and Engineering, University of Quebec at Rimouski, Quebec, Rimouski, G5L 3A1, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Computer Science and Engineering, University of Quebec at Rimouski, Quebec, Rimouski, G5L 3A1, Canada","institution_ids":["https://openalex.org/I182451676","https://openalex.org/I49663120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017763102","display_name":"Nabila Zrira","orcid":"https://orcid.org/0000-0002-9876-9744","observed_orcids":["https://orcid.org/0000-0002-9876-9744"]},"institutions":[{"id":"https://openalex.org/I4210155111","display_name":"National School of Mineral Industry","ror":"https://ror.org/04a41pr43","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210155111"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Nabila Zrira","raw_affiliation_strings":["ADOS Team, LISTD Laboratory, National Superior School of Mines, Rabat, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ADOS Team, LISTD Laboratory, National Superior School of Mines, Rabat, Morocco","institution_ids":["https://openalex.org/I4210155111"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5115031678"],"corresponding_institution_ids":["https://openalex.org/I182451676","https://openalex.org/I49663120"],"apc_list":null,"apc_paid":null,"fwci":1.2215,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.828204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"251","issue":null,"first_page":"342","last_page":"349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9901999831199646,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9901999831199646,"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"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.0019000000320374966,"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"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0019000000320374966,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stress-prediction","display_name":"stress prediction","score":0.9760000109672546},{"id":"https://openalex.org/keywords/physiological-signals","display_name":"physiological signals","score":0.7509999871253967},{"id":"https://openalex.org/keywords/multimodal-artificial-intelligence","display_name":"multimodal AI","score":0.7730000019073486},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.9800000190734863},{"id":"https://openalex.org/keywords/chatbots","display_name":"chatbots","score":0.8500000238418579},{"id":"https://openalex.org/keywords/mental-health-services","display_name":"mental health services","score":0.7559999823570251},{"id":"https://openalex.org/keywords/stress-monitoring","display_name":"stress monitoring","score":0.7419999837875366},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.6930000185966492}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.841387152671814},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.821089506149292},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.4738914370536804},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.4250623285770416},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3509688377380371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34281623363494873},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07091891765594482},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2024.11.119","doi":"https://doi.org/10.1016/j.procs.2024.11.119","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2024.11.119","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2024.11.119","doi":"https://doi.org/10.1016/j.procs.2024.11.119","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2024.11.119","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9763000011444092,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W861925310","https://openalex.org/W1964940342","https://openalex.org/W1985867508","https://openalex.org/W2085281262","https://openalex.org/W2371638596","https://openalex.org/W2620573913","https://openalex.org/W2784070037","https://openalex.org/W2894771803","https://openalex.org/W2985355520","https://openalex.org/W3009849862","https://openalex.org/W3044471845","https://openalex.org/W3111445410","https://openalex.org/W3121209268","https://openalex.org/W4205515185","https://openalex.org/W4220883868","https://openalex.org/W4231067411","https://openalex.org/W4295951577","https://openalex.org/W4385878460","https://openalex.org/W4393865438","https://openalex.org/W4399647672","https://openalex.org/W7116854676"],"related_works":["https://openalex.org/W7162422422","https://openalex.org/W4406522682","https://openalex.org/W4411800116","https://openalex.org/W4411157662","https://openalex.org/W4389283204","https://openalex.org/W4384158163","https://openalex.org/W7118122020","https://openalex.org/W7125979510","https://openalex.org/W7043871099","https://openalex.org/W7221436922"],"abstract_inverted_index":{"Stress":[0],"is":[1,36],"a":[2,48,123,129],"physiological":[3,63,90],"and":[4,21,27,82,135,152],"psychological":[5],"response":[6],"to":[7,56,127],"threatening,":[8],"challenging,":[9],"or":[10],"demanding":[11],"situations.":[12],"It":[13],"can":[14],"have":[15],"profound":[16],"effects":[17],"on":[18,85],"both":[19],"mental":[20,34,145],"physical":[22],"health":[23],"such":[24],"as":[25],"anxiety":[26],"depression.":[28],"Thus,":[29],"managing":[30],"stress":[31,58,103,133,150],"levels":[32,59],"in":[33,100,144],"healthcare":[35],"crucial":[37],"for":[38,132,148],"maintaining":[39],"overall":[40],"well-being.":[41],"In":[42],"this":[43],"work,":[44],"we":[45],"introduce":[46],"SereniSens,":[47],"multimodal":[49],"AI":[50,143],"framework":[51,138],"with":[52,105,122],"conversational":[53],"agent":[54],"integration":[55],"predict":[57],"during":[60,93],"sleep":[61],"using":[62],"data.":[64],"We":[65,113],"evaluated":[66],"the":[67,86,140],"performance":[68],"of":[69,142],"four":[70],"machine":[71],"learning":[72],"models":[73,96,121],"-":[74,84],"Decision":[75],"Tree,":[76],"Support":[77],"Vector":[78],"Machines,":[79],"Multilayer":[80],"Perceptron,":[81],"XGBoost":[83],"SaYoPillow":[87],"dataset":[88],"containing":[89],"signals":[91],"recorded":[92],"sleep.":[94],"Our":[95],"achieve":[97],"high":[98],"accuracy":[99],"predicting":[101],"fve":[102],"levels,":[104],"SVM":[106],"obtaining":[107],"99.37%":[108],"accuracy,":[109],"outperforming":[110],"previous":[111],"implementations.":[112],"also":[114],"propose":[115],"an":[116],"architecture":[117],"integrating":[118],"these":[119],"predictive":[120],"Large":[124],"Language":[125],"Model":[126],"create":[128],"context-aware":[130],"chatbot":[131],"monitoring":[134],"management.":[136],"This":[137],"demonstrates":[139],"potential":[141],"healthcare,":[146],"particularly":[147],"personalized":[149],"assessment":[151],"intervention.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":3}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-12-07T00:00:00"}
