{"id":"https://openalex.org/W7096947458","doi":null,"title":"2013.Smart Technologies for Long-Term Stress Monitoring at Work, submitted to","display_name":"2013.Smart Technologies for Long-Term Stress Monitoring at Work, submitted to","publication_year":2016,"publication_date":"2016-01-11","ids":{"openalex":"https://openalex.org/W7096947458"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.713.7153","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.713.7153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.rkocielnik.com/publications/smart_tech_CBMS.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5048447340","display_name":"Rafa\u0142 Kocielnik","orcid":"https://orcid.org/0000-0001-5602-6056","observed_orcids":["https://orcid.org/0000-0001-5602-6056"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rafal Kocielnik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Tu Eindhoven","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tu Eindhoven","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053568949","display_name":"Natalia Sidorova","orcid":"https://orcid.org/0000-0002-9223-938X","observed_orcids":["https://orcid.org/0000-0002-9223-938X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Natalia Sidorova","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Tu Eindhoven","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tu Eindhoven","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Fabrizio Maria Maggi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabrizio Maria Maggi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046438078","display_name":"Martin Ouwerkerk","orcid":"https://orcid.org/0000-0002-2682-7538","observed_orcids":["https://orcid.org/0000-0002-2682-7538"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Ouwerkerk","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5054462507","display_name":"Joyce H. D. M. Westerink","orcid":"https://orcid.org/0000-0002-2391-0387","observed_orcids":["https://orcid.org/0000-0002-2391-0387"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joyce H. D. M. Westerink","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52584438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.6044999957084656,"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":0.6044999957084656,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.31619998812675476,"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/T10803","display_name":"Innovative Human-Technology Interaction","score":0.014399999752640724,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/occupational-stress","display_name":"occupational stress","score":0.8610000014305115},{"id":"https://openalex.org/keywords/stress-monitoring","display_name":"stress monitoring","score":0.6899999976158142},{"id":"https://openalex.org/keywords/wearable-sensors","display_name":"wearable sensors","score":0.781000018119812},{"id":"https://openalex.org/keywords/unobtrusive-sensing","display_name":"unobtrusive sensing","score":0.7919999957084656},{"id":"https://openalex.org/keywords/long-term-monitoring","display_name":"long-term monitoring","score":0.6430000066757202},{"id":"https://openalex.org/keywords/context-aware-information","display_name":"context-aware information","score":0.49399998784065247},{"id":"https://openalex.org/keywords/behavioral-patterns","display_name":"behavioral patterns","score":0.8140000104904175},{"id":"https://openalex.org/keywords/stress-balance","display_name":"stress balance","score":0.6179999709129333},{"id":"https://openalex.org/keywords/workplace-health","display_name":"workplace health","score":0.6019999980926514}],"concepts":[{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.6574000120162964},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6259999871253967},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.47110000252723694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45719999074935913},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.421099990606308},{"id":"https://openalex.org/C2988361403","wikidata":"https://www.wikidata.org/wiki/Q206175","display_name":"Internal stress","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3050000071525574},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2980000078678131},{"id":"https://openalex.org/C2779201015","wikidata":"https://www.wikidata.org/wiki/Q1308919","display_name":"Stress test","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C2993577864","wikidata":"https://www.wikidata.org/wiki/Q123414","display_name":"Physiological stress","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C2781368080","wikidata":"https://www.wikidata.org/wiki/Q501688","display_name":"Context awareness","level":3,"score":0.25839999318122864},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.713.7153","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.713.7153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.rkocielnik.com/publications/smart_tech_CBMS.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2154145109","https://openalex.org/W4408055748","https://openalex.org/W2898851276","https://openalex.org/W3041139791","https://openalex.org/W2040963510","https://openalex.org/W2749582546","https://openalex.org/W3202768232","https://openalex.org/W2752434814","https://openalex.org/W2571110062","https://openalex.org/W2085930997"],"abstract_inverted_index":{"Due":[0],"to":[1,33,117],"the":[2,11,49,74,84,88],"growing":[3],"pace":[4],"of":[5,10,51,73,83,90,93],"life,":[6],"stress":[7,24,42,94,121],"became":[8],"one":[9],"major":[12],"factors":[13],"causing":[14],"health":[15],"problems.":[16],"We":[17],"have":[18,78],"devel-oped":[19],"a":[20,119],"framework":[21],"for":[22],"measuring":[23],"in":[25,48],"real-life":[26],"condi-tions":[27],"continuously":[28],"and":[29,37,67,107,109],"unobtrusively.":[30],"In":[31,54],"order":[32],"provide":[34],"meaningful,":[35],"useful":[36],"actionable":[38],"information,":[39,43],"we":[40,57,63,77],"present":[41],"derived":[44],"from":[45],"sensor":[46],"measurements,":[47],"context":[50],"person\u2019s":[52],"activities.":[53],"this":[55],"paper,":[56],"de-scribe":[58],"our":[59,69],"framework,":[60],"discuss":[61],"how":[62],"address":[64],"arising":[65],"chal-lenges":[66],"evaluate":[68],"approach":[70],"on":[71],"basis":[72],"field":[75],"stud-ies":[76],"conducted.":[79],"The":[80],"main":[81],"results":[82,89],"evaluation":[85],"are":[86],"that":[87,102],"long-term":[91],"measurements":[92],"re-veal":[95],"people":[96],"information":[97],"about":[98,113],"their":[99,111],"behavioral":[100,114],"patterns":[101],"they":[103],"perceive":[104],"as":[105],"meaningful":[106],"useful,":[108],"trigger":[110],"ideas":[112],"changes":[115],"necessary":[116],"achieve":[118],"bet-ter":[120],"balance.":[122]},"counts_by_year":[],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2025-10-27T00:00:00"}