{"id":"https://openalex.org/W2896414866","doi":"https://doi.org/10.1109/percomw.2018.8480086","title":"The Impact of Physical Activities on the Physiological Response to Emotions","display_name":"The Impact of Physical Activities on the Physiological Response to Emotions","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2896414866","doi":"https://doi.org/10.1109/percomw.2018.8480086","mag":"2896414866"},"language":"en","primary_location":{"id":"doi:10.1109/percomw.2018.8480086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2018.8480086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","raw_type":"proceedings-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/A5073753842","display_name":"Judith S. Heinisch","orcid":"https://orcid.org/0000-0002-4065-7125"},"institutions":[{"id":"https://openalex.org/I106157433","display_name":"University of Kassel","ror":"https://ror.org/04zc7p361","country_code":"DE","type":"education","lineage":["https://openalex.org/I106157433"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Judith S. Heinisch","raw_affiliation_strings":["Chair for Communication Technology (ComTec) University of Kassel, Kassel, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair for Communication Technology (ComTec) University of Kassel, Kassel, Germany","institution_ids":["https://openalex.org/I106157433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018128954","display_name":"Isabel H\u00fcbener","orcid":null},"institutions":[{"id":"https://openalex.org/I106157433","display_name":"University of Kassel","ror":"https://ror.org/04zc7p361","country_code":"DE","type":"education","lineage":["https://openalex.org/I106157433"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Isabel Hubener","raw_affiliation_strings":["Chair for Communication Technology (ComTec) University of Kassel, Kassel, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair for Communication Technology (ComTec) University of Kassel, Kassel, Germany","institution_ids":["https://openalex.org/I106157433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004879645","display_name":"Klaus David","orcid":"https://orcid.org/0000-0002-6600-9329"},"institutions":[{"id":"https://openalex.org/I106157433","display_name":"University of Kassel","ror":"https://ror.org/04zc7p361","country_code":"DE","type":"education","lineage":["https://openalex.org/I106157433"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus David","raw_affiliation_strings":["Chair for Communication Technology (ComTec) University of Kassel, Kassel, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair for Communication Technology (ComTec) University of Kassel, Kassel, Germany","institution_ids":["https://openalex.org/I106157433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I106157433"],"apc_list":null,"apc_paid":null,"fwci":0.657,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74874702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"824","last_page":"829"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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":0.6388255953788757},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.5098235011100769},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.506866991519928},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.42662695050239563},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4193716049194336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4112023115158081},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3346484899520874},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32621148228645325},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.21315282583236694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6388255953788757},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.5098235011100769},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.506866991519928},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.42662695050239563},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4193716049194336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4112023115158081},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3346484899520874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32621148228645325},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.21315282583236694},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomw.2018.8480086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2018.8480086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.4699999988079071,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W73267799","https://openalex.org/W1575201818","https://openalex.org/W1593765659","https://openalex.org/W1980122010","https://openalex.org/W2029334490","https://openalex.org/W2042310585","https://openalex.org/W2056049575","https://openalex.org/W2078671978","https://openalex.org/W2081189996","https://openalex.org/W2092804630","https://openalex.org/W2113404160","https://openalex.org/W2120945046","https://openalex.org/W2146010402","https://openalex.org/W2153822685","https://openalex.org/W2161142304","https://openalex.org/W2167557160","https://openalex.org/W2168317269","https://openalex.org/W2284306686","https://openalex.org/W2611079441","https://openalex.org/W2719677204","https://openalex.org/W2883626886","https://openalex.org/W2974550657","https://openalex.org/W3141077511","https://openalex.org/W6602957048","https://openalex.org/W6635251721","https://openalex.org/W6671005747","https://openalex.org/W6676695001","https://openalex.org/W6684870849","https://openalex.org/W6737323789"],"related_works":["https://openalex.org/W2376139493","https://openalex.org/W2911808920","https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W2141253262","https://openalex.org/W3156756500","https://openalex.org/W4251090744","https://openalex.org/W2386293158","https://openalex.org/W2433638048"],"abstract_inverted_index":{"Despite":[0],"the":[1,52,64,76,86,102,108,137,144,150,156],"advantages":[2],"of":[3,39,51,55,104,110,139,146,192],"using":[4,14,56],"physiological":[5,15,40,57,77,121],"sensors":[6,122],"to":[7,79,89,142,171,194],"collect":[8],"emotion":[9,11,118,181],"data,":[10],"recognition":[12,109,190],"systems":[13],"signals":[16],"such":[17,92],"as":[18,93],"Electrodermal":[19],"Activity":[20],"(EDA),":[21],"Electrocardiogram":[22],"(ECG)":[23],"or":[24,33,95],"Electromyography":[25],"(EMG)":[26],"are":[27,123],"mainly":[28],"tested":[29],"in":[30,42,73,107,149],"controlled":[31],"environments":[32],"under":[34],"laboratory":[35],"conditions.":[36],"The":[37],"use":[38,129],"data":[41,58,65,119,182],"real-world":[43,60],"scenarios":[44,61,131],"has":[45],"not":[46],"been":[47],"widely":[48],"investigated.":[49],"One":[50],"main":[53],"issues":[54,164],"from":[59,120,183],"is":[62],"that":[63,178],"may":[66],"also":[67],"be":[68,82],"influenced":[69],"by":[70,125,179],"movement":[71],"and":[72,112,134,155],"some":[74],"cases,":[75],"response":[78],"emotions":[80,111],"can":[81,187],"even":[83],"confused":[84],"with":[85,133],"one":[87,135],"due":[88],"physical":[90,105,140,147],"activities,":[91],"walking":[94],"running.":[96],"In":[97],"this":[98],"paper,":[99],"we":[100,165,186],"investigate":[101,143],"impact":[103],"activities":[106,148],"provide":[113],"new":[114],"insights":[115],"on":[116],"how":[117],"affected":[124],"these":[126,163],"activities.":[127],"We":[128],"two":[130],"(one":[132],"without":[136],"influence":[138],"movement)":[141],"effect":[145],"Blood":[151],"Volume":[152],"Pulse":[153],"(BVP)":[154],"Skin":[157],"Temperature":[158],"(TMP)":[159],"signals.":[160],"To":[161],"overcome":[162],"used":[166],"a":[167,189],"random":[168],"forest":[169],"algorithm":[170],"model":[172],"both":[173,184],"scenarios.":[174],"Our":[175],"results":[176],"show":[177],"combining":[180],"scenarios,":[185],"achieve":[188],"accuracy":[191],"up":[193],"96%.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
