{"id":"https://openalex.org/W2953750776","doi":"https://doi.org/10.1145/3329189.3329233","title":"An Overview of the Feasibility of Permanent, Real-Time, Unobtrusive Stress Measurement with Current Wearables","display_name":"An Overview of the Feasibility of Permanent, Real-Time, Unobtrusive Stress Measurement with Current Wearables","publication_year":2019,"publication_date":"2019-05-20","ids":{"openalex":"https://openalex.org/W2953750776","doi":"https://doi.org/10.1145/3329189.3329233","mag":"2953750776"},"language":"en","primary_location":{"id":"doi:10.1145/3329189.3329233","doi":"https://doi.org/10.1145/3329189.3329233","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3329189.3329233","pdf_url":null,"source":{"id":"https://openalex.org/S4393918189","display_name":"International Conference on Pervasive Computing Technologies for Healthcare","issn_l":"2153-1633","issn":["2153-1633"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5074248464","display_name":"Stefan Gradl","orcid":"https://orcid.org/0000-0003-1443-7652","observed_orcids":["https://orcid.org/0000-0003-1443-7652"]},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Gradl","raw_affiliation_strings":["Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037230291","display_name":"Markus Wirth","orcid":"https://orcid.org/0000-0001-8571-3197","observed_orcids":["https://orcid.org/0000-0001-8571-3197"]},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Wirth","raw_affiliation_strings":["Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035430335","display_name":"Robert Richer","orcid":"https://orcid.org/0000-0003-0272-5403","observed_orcids":["https://orcid.org/0000-0003-0272-5403"]},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Richer","raw_affiliation_strings":["Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032583018","display_name":"Nicolas Rohleder","orcid":"https://orcid.org/0000-0003-2602-517X","observed_orcids":["https://orcid.org/0000-0003-2602-517X"]},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nicolas Rohleder","raw_affiliation_strings":["Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014144494","display_name":"Bjoern M. Eskofier","orcid":"https://orcid.org/0000-0002-0417-0336","observed_orcids":["https://orcid.org/0000-0002-0417-0336"]},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bjoern M. Eskofier","raw_affiliation_strings":["Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":6.6192,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.9706005,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"360","last_page":"365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9848999977111816,"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":0.9848999977111816,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.008299999870359898,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.003100000089034438,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/stress-measurement","display_name":"stress measurement","score":0.8040000200271606},{"id":"https://openalex.org/keywords/wearable-devices","display_name":"wearable devices","score":0.7919999957084656},{"id":"https://openalex.org/keywords/physiological-signals","display_name":"physiological signals","score":0.8610000014305115},{"id":"https://openalex.org/keywords/stress-classification","display_name":"stress classification","score":0.921999990940094},{"id":"https://openalex.org/keywords/real-time-monitoring","display_name":"real-time monitoring","score":0.7620000243186951},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.5600000023841858},{"id":"https://openalex.org/keywords/data-validity","display_name":"data validity","score":0.49000000953674316},{"id":"https://openalex.org/keywords/data-accuracy","display_name":"data accuracy","score":0.48500001430511475},{"id":"https://openalex.org/keywords/unobtrusive-sensing","display_name":"unobtrusive sensing","score":0.7310000061988831}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.8177217841148376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7453869581222534},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.6263730525970459},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5806279182434082},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5682492256164551},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5194761157035828},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37354570627212524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36266034841537476},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3223722577095032},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11437743902206421},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3329189.3329233","doi":"https://doi.org/10.1145/3329189.3329233","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3329189.3329233","pdf_url":null,"source":{"id":"https://openalex.org/S4393918189","display_name":"International Conference on Pervasive Computing Technologies for Healthcare","issn_l":"2153-1633","issn":["2153-1633"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1558311959","https://openalex.org/W1912166081","https://openalex.org/W1967949193","https://openalex.org/W1969050256","https://openalex.org/W1973952189","https://openalex.org/W2000150063","https://openalex.org/W2000503364","https://openalex.org/W2001029161","https://openalex.org/W2012890015","https://openalex.org/W2019717997","https://openalex.org/W2020771656","https://openalex.org/W2031590924","https://openalex.org/W2045096334","https://openalex.org/W2048355193","https://openalex.org/W2052418071","https://openalex.org/W2061884438","https://openalex.org/W2063875884","https://openalex.org/W2076507733","https://openalex.org/W2083872334","https://openalex.org/W2086060900","https://openalex.org/W2087141537","https://openalex.org/W2088437108","https://openalex.org/W2127489014","https://openalex.org/W2136466671","https://openalex.org/W2138967430","https://openalex.org/W2145533434","https://openalex.org/W2158976726","https://openalex.org/W2165058809","https://openalex.org/W2167928942","https://openalex.org/W2184481998","https://openalex.org/W2258834992","https://openalex.org/W2293081071","https://openalex.org/W2368514363","https://openalex.org/W2460183610","https://openalex.org/W2465675980","https://openalex.org/W2496084757","https://openalex.org/W2511946169","https://openalex.org/W2589735465","https://openalex.org/W2626150824","https://openalex.org/W2745346281","https://openalex.org/W2751294474","https://openalex.org/W2765080021","https://openalex.org/W2765945674","https://openalex.org/W2771541903","https://openalex.org/W2773877055","https://openalex.org/W2774835643","https://openalex.org/W2775801909","https://openalex.org/W2779680663","https://openalex.org/W2792479193","https://openalex.org/W2796183804","https://openalex.org/W2796212253","https://openalex.org/W2799061466","https://openalex.org/W2804424284","https://openalex.org/W2806393607","https://openalex.org/W2807447523","https://openalex.org/W2808135883","https://openalex.org/W2832842450","https://openalex.org/W2885403181","https://openalex.org/W2887041203","https://openalex.org/W2890302742","https://openalex.org/W2891894552","https://openalex.org/W2898996122","https://openalex.org/W2900636181","https://openalex.org/W2902882282","https://openalex.org/W2903160662","https://openalex.org/W2911145760","https://openalex.org/W2914818398","https://openalex.org/W2915413652","https://openalex.org/W2916057939","https://openalex.org/W3104042626","https://openalex.org/W3166838607","https://openalex.org/W4250910818"],"related_works":["https://openalex.org/W2910424258","https://openalex.org/W4304891561","https://openalex.org/W4405558801","https://openalex.org/W4292862515","https://openalex.org/W4407158118","https://openalex.org/W4224129851","https://openalex.org/W6981802126","https://openalex.org/W7127346851","https://openalex.org/W321486980","https://openalex.org/W2742338588"],"abstract_inverted_index":{"Negative":[0],"consequences":[1],"of":[2,43,55,58,83,90,106,111],"stress":[3,40,67,118],"are":[4,61],"a":[5,52,56,81],"pervasive":[6],"problem":[7],"in":[8,14,62],"our":[9],"modern":[10],"society.":[11],"Recent":[12],"developments":[13],"wearable":[15],"lifestyle":[16],"hardware":[17],"have":[18],"led":[19],"to":[20,30,34,93,101,117],"unobtrusive,":[21],"sensor-packed,":[22],"always-on":[23],"devices":[24],"that":[25,60],"might":[26],"finally":[27],"be":[28],"able":[29],"continuously":[31],"monitor":[32],"biosignals":[33,59],"detect,":[35],"determine":[36],"or":[37,41],"even":[38],"prevent":[39],"some":[42,63],"its":[44],"negative":[45],"outcomes.":[46],"In":[47],"this":[48,76],"work,":[49],"we":[50,79],"give":[51],"concise":[53],"overview":[54],"majority":[57],"way":[64],"relevant":[65],"for":[66,75,103],"classification":[68],"and":[69,109],"outline":[70],"state-of-the-art":[71],"machine":[72],"learning":[73],"algorithms":[74,96],"task.":[77],"Additionally,":[78],"provide":[80],"list":[82],"all":[84],"recent":[85],"wearables":[86],"including":[87],"an":[88,104],"evaluation":[89],"their":[91,112],"feasibility":[92],"implement":[94],"such":[95],"as":[97,99],"well":[98],"directions":[100],"look":[102],"assessment":[105],"the":[107],"accuracy":[108],"validity":[110],"recorded":[113],"data":[114],"with":[115],"respect":[116],"tracking.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2019-07-12T00:00:00"}
