{"id":"https://openalex.org/W2626444333","doi":"https://doi.org/10.1145/3055635.3056614","title":"Estimating Working Stressor Based on Pulse Wave","display_name":"Estimating Working Stressor Based on Pulse Wave","publication_year":2017,"publication_date":"2017-02-24","ids":{"openalex":"https://openalex.org/W2626444333","doi":"https://doi.org/10.1145/3055635.3056614","mag":"2626444333"},"language":"en","primary_location":{"id":"doi:10.1145/3055635.3056614","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3055635.3056614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Machine Learning and Computing","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/A5012540731","display_name":"Masayoshi Asano","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayoshi Asano","raw_affiliation_strings":["Graduate School of Ritsumeikan University, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015753527","display_name":"Yusuke Kajiwara","orcid":"https://orcid.org/0000-0001-5895-3312"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Kajiwara","raw_affiliation_strings":["Ritsumeikan University, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113831267","display_name":"Hiromitsu Shimakawa","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiromitsu Shimakawa","raw_affiliation_strings":["Ritsumeikan University, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10728271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"23","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9700000286102295,"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"}},"topics":[{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9700000286102295,"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"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.965499997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/stressor","display_name":"Stressor","score":0.861592173576355},{"id":"https://openalex.org/keywords/pulse","display_name":"Pulse (music)","score":0.6782060265541077},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.5245233774185181},{"id":"https://openalex.org/keywords/pulse-wave","display_name":"Pulse wave","score":0.5031253695487976},{"id":"https://openalex.org/keywords/stimulus","display_name":"Stimulus (psychology)","score":0.48295873403549194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4712691009044647},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.42731526494026184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30106937885284424},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24876955151557922},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.20369037985801697},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14037397503852844},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.12449473142623901}],"concepts":[{"id":"https://openalex.org/C125370674","wikidata":"https://www.wikidata.org/wiki/Q1527480","display_name":"Stressor","level":2,"score":0.861592173576355},{"id":"https://openalex.org/C2780167933","wikidata":"https://www.wikidata.org/wiki/Q1550652","display_name":"Pulse (music)","level":3,"score":0.6782060265541077},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.5245233774185181},{"id":"https://openalex.org/C172321821","wikidata":"https://www.wikidata.org/wiki/Q7259685","display_name":"Pulse wave","level":3,"score":0.5031253695487976},{"id":"https://openalex.org/C2779918689","wikidata":"https://www.wikidata.org/wiki/Q3771842","display_name":"Stimulus (psychology)","level":2,"score":0.48295873403549194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4712691009044647},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.42731526494026184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30106937885284424},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24876955151557922},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20369037985801697},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14037397503852844},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.12449473142623901},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C134652429","wikidata":"https://www.wikidata.org/wiki/Q1052698","display_name":"Jitter","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3055635.3056614","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3055635.3056614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2402700","https://openalex.org/W1970133878","https://openalex.org/W2047319975","https://openalex.org/W2067495470","https://openalex.org/W2112778345","https://openalex.org/W2114613490","https://openalex.org/W2116488983","https://openalex.org/W2143477303","https://openalex.org/W2158976222","https://openalex.org/W2317928159","https://openalex.org/W2531569042","https://openalex.org/W2911964244","https://openalex.org/W4285719527","https://openalex.org/W6728142021"],"related_works":["https://openalex.org/W2324609977","https://openalex.org/W4309145825","https://openalex.org/W2132863420","https://openalex.org/W3021632479","https://openalex.org/W2034348654","https://openalex.org/W236783687","https://openalex.org/W2080478648","https://openalex.org/W2048500805","https://openalex.org/W1965183106","https://openalex.org/W1947006173"],"abstract_inverted_index":{"In":[0],"this":[1,122],"paper,":[2],"we":[3,35],"estimate":[4],"workers'":[5,61],"stressors":[6],"from":[7,18,59,133],"their":[8,20],"pulse":[9,21,30,62,135],"waves.":[10,136],"When":[11],"human":[12],"beings":[13],"are":[14,32],"provided":[15],"stressful":[16],"stimulus":[17],"outside,":[19],"wave":[22],"would":[23],"change.":[24],"Since":[25],"inexpensive":[26],"commercial":[27],"sensors":[28],"of":[29,41,51,57,95,105,111,116],"waves":[31],"available":[33],"nowadays,":[34],"can":[36],"expect":[37],"to":[38,87,91,101],"detect":[39],"stresses":[40],"workers":[42],"in":[43],"daily":[44],"working":[45],"environment.":[46],"We":[47,53,64,97],"assume":[48],"four":[49,93],"kinds":[50,56],"stressors.":[52],"extract":[54],"ten":[55],"features":[58,66],"the":[60,68,103,106,112,114,117,128,134],"wave.":[63],"learn":[65],"using":[67],"random":[69],"forest,":[70],"which":[71],"is":[72,85,125],"a":[73,89,109],"machine":[74],"learning":[75],"algorithm":[76],"good":[77],"at":[78],"discrimination":[79],"with":[80],"many":[81],"input":[82],"variables.":[83],"It":[84],"possible":[86],"create":[88],"model":[90],"identify":[92],"types":[94],"stress.":[96],"conducted":[98],"an":[99],"experiment":[100],"verify":[102],"effectiveness":[104],"model.":[107],"As":[108],"result":[110],"experiment,":[113],"average":[115],"F-measure":[118],"was":[119],"0.32.":[120],"From":[121],"result,":[123],"it":[124],"suggested":[126],"that":[127],"stressor":[129],"could":[130],"be":[131],"identified":[132]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}