{"id":"https://openalex.org/W4391088444","doi":"https://doi.org/10.1109/mce.2023.3278076","title":"A Review of Context-Aware Machine Learning for Stress Detection","display_name":"A Review of Context-Aware Machine Learning for Stress Detection","publication_year":2023,"publication_date":"2023-05-19","ids":{"openalex":"https://openalex.org/W4391088444","doi":"https://doi.org/10.1109/mce.2023.3278076"},"language":"en","primary_location":{"id":"doi:10.1109/mce.2023.3278076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mce.2023.3278076","pdf_url":null,"source":{"id":"https://openalex.org/S2483040032","display_name":"IEEE Consumer Electronics Magazine","issn_l":"2162-2248","issn":["2162-2248","2162-2256"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Consumer Electronics Magazine","raw_type":"journal-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/A5033745866","display_name":"Md. Saif Hassan Onim","orcid":"https://orcid.org/0000-0002-7228-2823"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md. Saif Hassan Onim","raw_affiliation_strings":["University of Tennessee, Knoxville, TN, USA"],"raw_orcid":"https://orcid.org/0000-0002-7228-2823","affiliations":[{"raw_affiliation_string":"University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034838704","display_name":"Elizabeth K. Rhodus","orcid":"https://orcid.org/0000-0001-5108-0766"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elizabeth Rhodus","raw_affiliation_strings":["University of Kentucky, Lexington, KY, USA"],"raw_orcid":"https://orcid.org/0000-0001-5108-0766","affiliations":[{"raw_affiliation_string":"University of Kentucky, Lexington, KY, USA","institution_ids":["https://openalex.org/I143302722"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091267392","display_name":"Himanshu Thapliyal","orcid":"https://orcid.org/0000-0001-9157-4517"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Himanshu Thapliyal","raw_affiliation_strings":["University of Tennessee, Knoxville, TN, USA"],"raw_orcid":"https://orcid.org/0000-0001-9157-4517","affiliations":[{"raw_affiliation_string":"University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.688,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67614301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"13","issue":"4","first_page":"10","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9664000272750854,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9664000272750854,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9531999826431274,"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/T11519","display_name":"Digital Mental Health Interventions","score":0.9524999856948853,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7524412870407104},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7359480857849121},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5833948254585266},{"id":"https://openalex.org/keywords/context-awareness","display_name":"Context awareness","score":0.5628936886787415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5297226309776306},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.515417218208313},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.489082396030426},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3912169635295868},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3345454931259155},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3220158815383911},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0726793110370636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7524412870407104},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7359480857849121},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5833948254585266},{"id":"https://openalex.org/C2781368080","wikidata":"https://www.wikidata.org/wiki/Q501688","display_name":"Context awareness","level":3,"score":0.5628936886787415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5297226309776306},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.515417218208313},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.489082396030426},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3912169635295868},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3345454931259155},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3220158815383911},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0726793110370636},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mce.2023.3278076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mce.2023.3278076","pdf_url":null,"source":{"id":"https://openalex.org/S2483040032","display_name":"IEEE Consumer Electronics Magazine","issn_l":"2162-2248","issn":["2162-2248","2162-2256"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Consumer Electronics Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1969412681","https://openalex.org/W2054780155","https://openalex.org/W2143170554","https://openalex.org/W2161365979","https://openalex.org/W2171801645","https://openalex.org/W2308087848","https://openalex.org/W2520289546","https://openalex.org/W2522580204","https://openalex.org/W2764058170","https://openalex.org/W2795374022","https://openalex.org/W2898767979","https://openalex.org/W2972700485","https://openalex.org/W2997096265","https://openalex.org/W3024062091","https://openalex.org/W3126870415","https://openalex.org/W3162380478","https://openalex.org/W3176466033","https://openalex.org/W4295308738","https://openalex.org/W4306292480"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4224009465","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W4205958290","https://openalex.org/W4384212932","https://openalex.org/W4390590544","https://openalex.org/W2096195258","https://openalex.org/W2990460313","https://openalex.org/W2973458857"],"abstract_inverted_index":{"Excessive":[0],"stress":[1,51,70,103,113],"can":[2,27],"lead":[3],"to":[4,22,48],"poor":[5],"physical":[6],"and":[7,15,52,72,94,100],"psychological":[8],"outcomes":[9],"thereby":[10],"reducing":[11],"quality":[12],"of":[13,24,33,102],"life":[14],"increasing":[16],"health-related":[17],"consequences.":[18],"Context":[19],"awareness":[20,40,85],"refers":[21],"sources":[23],"information":[25,89],"that":[26,115],"help":[28],"technological":[29],"applications":[30,61],"be":[31],"aware":[32],"human-environment":[34],"interaction.":[35],"Machine":[36],"learning":[37],"with":[38,45],"context":[39,65,84,117],"is":[41,80],"an":[42],"emerging":[43],"field":[44],"the":[46,91],"potential":[47],"accurately":[49],"detect":[50],"subsequently":[53],"allowing":[54],"for":[55,69,112],"intervention":[56],"implementation.":[57],"Most":[58],"currently":[59],"existing":[60,108],"do":[62],"not":[63],"incorporate":[64],"in":[66,77,97],"machine-learning":[67],"models":[68],"detection,":[71],"as":[73],"such":[74],"their":[75],"applicability":[76],"real-life":[78],"settings":[79],"quite":[81],"low.":[82],"Using":[83],"will":[86],"provide":[87],"relevant":[88],"regarding":[90],"activity,":[92],"location,":[93],"day-time":[95],"resulting":[96],"increased":[98],"accuracy":[99],"precision":[101],"detection.":[104],"In":[105],"this":[106],"article,":[107],"machine":[109],"learning-based":[110],"approaches":[111],"detection":[114],"considers":[116],"are":[118],"reviewed.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}