{"id":"https://openalex.org/W4414433930","doi":"https://doi.org/10.3390/bdcc9100243","title":"Interpretable Emotion Estimation in Indoor Remote Work Environments via Environmental Sensor Data","display_name":"Interpretable Emotion Estimation in Indoor Remote Work Environments via Environmental Sensor Data","publication_year":2025,"publication_date":"2025-09-23","ids":{"openalex":"https://openalex.org/W4414433930","doi":"https://doi.org/10.3390/bdcc9100243"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc9100243","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9100243","pdf_url":"https://www.mdpi.com/2504-2289/9/10/243/pdf?version=1758630180","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/9/10/243/pdf?version=1758630180","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088506561","display_name":"Yuma Toriyama","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuma Toriyama","raw_affiliation_strings":["Graduate School of Science and Engineering, Chiba University, Chiba 263-8522, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Chiba University, Chiba 263-8522, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112991529","display_name":"Tsumugi Isogami","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsumugi Isogami","raw_affiliation_strings":["Graduate School of Science and Engineering, Chiba University, Chiba 263-8522, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Chiba University, Chiba 263-8522, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035901280","display_name":"Nobuyoshi Komuro","orcid":"https://orcid.org/0000-0002-3312-454X"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Nobuyoshi Komuro","raw_affiliation_strings":["Digital Transformation Enhancement Council, Chiba University, Chiba 263-8522, Japan"],"affiliations":[{"raw_affiliation_string":"Digital Transformation Enhancement Council, Chiba University, Chiba 263-8522, Japan","institution_ids":["https://openalex.org/I159385669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035901280"],"corresponding_institution_ids":["https://openalex.org/I159385669"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26704867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"10","first_page":"243","last_page":"243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9921000003814697,"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":0.9921000003814697,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.964900016784668,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.934499979019165,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7124999761581421},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6420999765396118},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5658000111579895},{"id":"https://openalex.org/keywords/environmental-data","display_name":"Environmental data","score":0.5065000057220459},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.47429999709129333},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.414900004863739},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.398499995470047}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7124999761581421},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6420999765396118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5861999988555908},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5658000111579895},{"id":"https://openalex.org/C2776356880","wikidata":"https://www.wikidata.org/wiki/Q5381206","display_name":"Environmental data","level":2,"score":0.5065000057220459},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.47429999709129333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4366999864578247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43560001254081726},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.414900004863739},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.398499995470047},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.3889999985694885},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.3409999907016754},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.3319999873638153},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2903999984264374},{"id":"https://openalex.org/C539469273","wikidata":"https://www.wikidata.org/wiki/Q1749732","display_name":"Environmental monitoring","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2712000012397766},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2703999876976013},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25110000371932983}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/bdcc9100243","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9100243","pdf_url":"https://www.mdpi.com/2504-2289/9/10/243/pdf?version=1758630180","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8317cdc8cc1f41fa87edac2c5fee0743","is_oa":true,"landing_page_url":"https://doaj.org/article/8317cdc8cc1f41fa87edac2c5fee0743","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 9, Iss 10, p 243 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/bdcc9100243","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9100243","pdf_url":"https://www.mdpi.com/2504-2289/9/10/243/pdf?version=1758630180","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414433930.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W66110143","https://openalex.org/W990323820","https://openalex.org/W2000503364","https://openalex.org/W2025263451","https://openalex.org/W2078573674","https://openalex.org/W2086840771","https://openalex.org/W2120357670","https://openalex.org/W2122637816","https://openalex.org/W2144518187","https://openalex.org/W2149628368","https://openalex.org/W2164509516","https://openalex.org/W2165857685","https://openalex.org/W2268369868","https://openalex.org/W2342796372","https://openalex.org/W2414244820","https://openalex.org/W2577648234","https://openalex.org/W2604176524","https://openalex.org/W2806792888","https://openalex.org/W2905707584","https://openalex.org/W2937943675","https://openalex.org/W2962862931","https://openalex.org/W3032206900","https://openalex.org/W3080756195","https://openalex.org/W3111296723","https://openalex.org/W3122993760","https://openalex.org/W3165762062","https://openalex.org/W3169237578","https://openalex.org/W3175507134","https://openalex.org/W3207009339","https://openalex.org/W4200033170","https://openalex.org/W4285798693","https://openalex.org/W4294204128","https://openalex.org/W4296967090","https://openalex.org/W4322012256","https://openalex.org/W4362736920","https://openalex.org/W4388153711"],"related_works":[],"abstract_inverted_index":{"Indoor":[0],"environmental":[1,22],"factors":[2,77],"such":[3],"as":[4],"CO2":[5,70],"concentration,":[6,71],"temperature,":[7,72],"and":[8,16,27,44,51,73,94,106],"humidity":[9,74],"can":[10],"significantly":[11],"influence":[12],"individuals\u2019":[13],"emotional":[14,28],"states":[15],"productivity.":[17],"This":[18],"study":[19],"continuously":[20],"collected":[21],"data":[23,29],"using":[24,53],"wireless":[25],"sensors":[26],"from":[30],"wearable":[31],"devices":[32],"in":[33,78],"an":[34],"office-like":[35],"remote-work":[36],"setting.":[37],"Machine":[38],"learning":[39],"models,":[40],"including":[41],"Random":[42],"Forest":[43],"Gradient":[45],"Boosting":[46],"Decision":[47],"Tree,":[48],"were":[49,75],"developed":[50],"interpreted":[52],"SHAP":[54,66],"(Shapley":[55],"Additive":[56],"Explanations).":[57],"The":[58],"proposed":[59],"models":[60],"achieved":[61],"estimation":[62,93],"accuracies":[63],"above":[64],"85%.":[65],"analysis":[67],"revealed":[68],"that":[69,103],"influential":[76],"predicting":[79],"pleasant":[80],"or":[81],"unpleasant":[82],"states.":[83],"These":[84],"findings":[85],"demonstrate":[86],"the":[87,98],"feasibility":[88],"of":[89,100],"real-time,":[90],"data-driven":[91],"emotion":[92],"provide":[95],"insights":[96],"into":[97],"design":[99],"indoor":[101],"environments":[102],"foster":[104],"comfort":[105],"mental":[107],"well-being.":[108]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
