{"id":"https://openalex.org/W4390839149","doi":"https://doi.org/10.17762/ijritcc.v11i9.9466","title":"Stress and Emotion Detection System Using IoT and Machine Learning with a Fuzzy Inference-Based Mental Health Risk Assessment Module","display_name":"Stress and Emotion Detection System Using IoT and Machine Learning with a Fuzzy Inference-Based Mental Health Risk Assessment Module","publication_year":2023,"publication_date":"2023-11-05","ids":{"openalex":"https://openalex.org/W4390839149","doi":"https://doi.org/10.17762/ijritcc.v11i9.9466"},"language":"en","primary_location":{"id":"doi:10.17762/ijritcc.v11i9.9466","doi":"https://doi.org/10.17762/ijritcc.v11i9.9466","is_oa":true,"landing_page_url":"http://dx.doi.org/10.17762/ijritcc.v11i9.9466","pdf_url":"https://ijritcc.org/index.php/ijritcc/article/download/9466/7274","source":{"id":"https://openalex.org/S2764488870","display_name":"International Journal on Recent and Innovation Trends in Computing and Communication","issn_l":"2321-8169","issn":["2321-8169"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Recent and Innovation Trends in Computing and Communication","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ijritcc.org/index.php/ijritcc/article/download/9466/7274","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067791252","display_name":"Analene Montesines Nagayo","orcid":"https://orcid.org/0000-0002-6618-6229","observed_orcids":["https://orcid.org/0000-0002-6618-6229"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Et al. Analene Montesines Nagayo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5067791252"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0701,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.30723556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"11","issue":"9","first_page":"3166","last_page":"3169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.975600004196167,"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":0.975600004196167,"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/T11519","display_name":"Digital Mental Health Interventions","score":0.003599999938160181,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied 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/T13038","display_name":"Internet of Things and AI","score":0.0031999999191612005,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/stress-detection","display_name":"stress detection","score":0.9950000047683716},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"emotion recognition","score":0.8659999966621399},{"id":"https://openalex.org/keywords/internet-of-medical-things","display_name":"Internet of Medical Things","score":0.8090000152587891},{"id":"https://openalex.org/keywords/mental-health-risk-assessment","display_name":"mental health risk assessment","score":0.8479999899864197},{"id":"https://openalex.org/keywords/fuzzy-inference","display_name":"fuzzy inference","score":0.8579999804496765},{"id":"https://openalex.org/keywords/facial-expression-analysis","display_name":"facial expression analysis","score":0.843999981880188},{"id":"https://openalex.org/keywords/biosensing","display_name":"biosensing","score":0.7070000171661377},{"id":"https://openalex.org/keywords/mit-app-inventor","display_name":"MIT App Inventor","score":0.8479999899864197},{"id":"https://openalex.org/keywords/mobile-application","display_name":"mobile application","score":0.5559999942779541},{"id":"https://openalex.org/keywords/dass-21","display_name":"DASS-21","score":0.7170000076293945},{"id":"https://openalex.org/keywords/mental-health-awareness","display_name":"mental health awareness","score":0.6710000038146973}],"concepts":[{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.674997866153717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.614162802696228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4417910575866699},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4039241075515747},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.3622792959213257},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.36206716299057007},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3357165455818176},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.21770939230918884},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20959967374801636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.17762/ijritcc.v11i9.9466","doi":"https://doi.org/10.17762/ijritcc.v11i9.9466","is_oa":true,"landing_page_url":"http://dx.doi.org/10.17762/ijritcc.v11i9.9466","pdf_url":"https://ijritcc.org/index.php/ijritcc/article/download/9466/7274","source":{"id":"https://openalex.org/S2764488870","display_name":"International Journal on Recent and Innovation Trends in Computing and Communication","issn_l":"2321-8169","issn":["2321-8169"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Recent and Innovation Trends in Computing and Communication","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.17762/ijritcc.v11i9.9466","doi":"https://doi.org/10.17762/ijritcc.v11i9.9466","is_oa":true,"landing_page_url":"http://dx.doi.org/10.17762/ijritcc.v11i9.9466","pdf_url":"https://ijritcc.org/index.php/ijritcc/article/download/9466/7274","source":{"id":"https://openalex.org/S2764488870","display_name":"International Journal on Recent and Innovation Trends in Computing and Communication","issn_l":"2321-8169","issn":["2321-8169"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Recent and Innovation Trends in Computing and Communication","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.9391000270843506,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390839149.pdf","grobid_xml":"https://content.openalex.org/works/W4390839149.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4401995680","https://openalex.org/W4401680872","https://openalex.org/W4406838282","https://openalex.org/W2958047132","https://openalex.org/W4385413823","https://openalex.org/W7160692030","https://openalex.org/W4206153023","https://openalex.org/W4415034604","https://openalex.org/W3035846866","https://openalex.org/W4404032180"],"abstract_inverted_index":{"This":[0,294],"research":[1,295],"paper":[2],"describes":[3],"the":[4,24,61,105,108,114,120,126,144,162,185,189,213,219,227,230,244,289,312,317],"conceptualization,":[5],"deployment,":[6],"and":[7,12,30,40,52,56,83,91,206,232,309,319,332],"application":[8,168],"of":[9,26,99,107,122,191,221,254,276,291,321,334],"a":[10,131,203,257,273],"stress":[11,54,181,197,231,246],"emotion":[13,233,269],"detection":[14,234,270,333],"system":[15,235,249,271],"(SEDS)":[16],"that":[17,188,238],"utilizes":[18],"emerging":[19],"technologies":[20],"including":[21],"machine":[22,62,267],"learning,":[23],"Internet":[25],"Medical":[27],"Things":[28],"(IoMT),":[29],"fuzzy":[31,140],"logic.":[32],"Particle":[33],"Photon":[34],"microcontrollers":[35],"were":[36,81,239],"used":[37],"to":[38,142,212,241,264,298,315,328],"collect":[39],"analyze":[41],"data":[42,163],"from":[43,243],"non-invasive":[44],"biosensing":[45],"devices,":[46],"input":[47,57],"switches":[48],"for":[49,133,173],"behavioral,":[50],"emotional,":[51],"cognitive":[53],"indicators,":[55],"signals":[58],"generated":[59,202],"by":[60,104,196],"learning-based":[63,268],"facial":[64,123,292],"identification":[65],"sub-module,":[66],"which":[67,118,138],"detects":[68],"an":[69,100,251],"individual's":[70],"emotional":[71,97],"states":[72],"(happy,":[73],"sad/upset,":[74],"angry/irritable,":[75],"or":[76,157,285],"nervous/scared).":[77],"The":[78,96,165,248,266],"acquired":[79],"parameters":[80],"stored":[82],"made":[84],"readily":[85],"accessible":[86],"using":[87],"IoT":[88],"cloud":[89],"services":[90],"dedicated":[92],"mobile":[93],"phone":[94],"applications.":[95],"condition":[98],"individual":[101],"was":[102,128,198],"assessed":[103],"utilization":[106],"Personal":[109],"Image":[110],"Classifier":[111],"tool":[112],"within":[113],"MIT":[115],"App":[116],"Inventor,":[117],"involved":[119],"analysis":[121,290],"expressions.":[124,293],"Furthermore,":[125],"SEDS":[127,186],"integrated":[129],"with":[130,311],"module":[132],"mental":[134,177,192,214,300,322],"health":[135,148,193,215,301,323],"risk":[136,194],"assessment":[137],"employs":[139],"logic":[141],"categorize":[143],"user's":[145],"stress-related":[146],"psychological":[147,223,335],"threat":[149],"level":[150,182,190],"as":[151,305],"very":[152],"low,":[153,154],"moderate,":[155],"high,":[156,199],"extremely":[158],"high":[159],"based":[160,179],"on":[161,180,226],"collected.":[164],"customized":[166],"smartphone":[167],"provided":[169],"users":[170],"specific":[171],"recommendations":[172],"effectively":[174],"managing":[175],"their":[176],"health,":[178],"assessments.":[183],"When":[184],"determined":[187],"posed":[195],"it":[200,208],"automatically":[201],"referral":[204],"notification":[205],"transmitted":[207],"via":[209],"text":[210],"message":[211],"care":[216,302],"professional,":[217],"facilitating":[218],"provision":[220],"appropriate":[222],"counseling.":[224],"Based":[225],"collected":[228],"data,":[229],"produced":[236],"results":[237],"comparable":[240],"those":[242],"DASS21":[245],"scale.":[247],"demonstrated":[250],"improved":[252],"accuracy":[253,275],"90%":[255],"in":[256,278],"test":[258],"involving":[259],"thirty":[260],"individuals":[261],"who":[262],"volunteered":[263],"participate.":[265],"achieved":[272],"classification":[274],"86.67%":[277],"correctly":[279],"detecting":[280],"happy,":[281],"neutral,":[282],"sad,":[283],"angry,":[284],"nervous":[286],"feelings":[287],"through":[288,337],"is":[296],"designed":[297],"provide":[299],"professionals":[303],"such":[304],"guidance":[306],"counselors,":[307],"psychologists,":[308],"psychiatrists":[310],"resources":[313],"essential":[314],"facilitate":[316],"evaluation":[318],"treatment":[320],"issues.":[324],"It":[325],"also":[326],"aims":[327],"raise":[329],"people's":[330],"understanding":[331],"conditions":[336],"enhanced":[338],"awareness":[339],"initiatives.":[340]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2024-01-14T00:00:00"}
