{"id":"https://openalex.org/W2887686333","doi":"https://doi.org/10.1109/isie.2018.8433647","title":"A Humans' Status Detection Scheme for Industrial Safety","display_name":"A Humans' Status Detection Scheme for Industrial Safety","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2887686333","doi":"https://doi.org/10.1109/isie.2018.8433647","mag":"2887686333"},"language":"en","primary_location":{"id":"doi:10.1109/isie.2018.8433647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie.2018.8433647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 27th International Symposium on Industrial Electronics (ISIE)","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/A5015238535","display_name":"Cheon Hoi Koo","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Cheon Hoi Koo","raw_affiliation_strings":["The University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057187503","display_name":"Hongxu Zhu","orcid":"https://orcid.org/0000-0001-6257-7065"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hongxu Zhu","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072090632","display_name":"Yee Ting Tsang","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yee Ting Tsang","raw_affiliation_strings":["The University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009149352","display_name":"Tsz Tat Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I16518940","display_name":"Hong Kong Institute of Vocational Education","ror":"https://ror.org/01dmaez27","country_code":"CN","type":"education","lineage":["https://openalex.org/I16518940"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tsz Tat Yu","raw_affiliation_strings":["Hong Kong Institute of Vocational Education, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Institute of Vocational Education, Hong Kong","institution_ids":["https://openalex.org/I16518940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037894365","display_name":"Kim Fung Tsang","orcid":"https://orcid.org/0000-0002-8332-227X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kim Fung Tsang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029853791","display_name":"Loi Lei Lai","orcid":"https://orcid.org/0000-0003-4786-7931"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Loi Lei Lai","raw_affiliation_strings":["Guangdong University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5015238535"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11153125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"1291","last_page":"1295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9957000017166138,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9957000017166138,"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":0.9909999966621399,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9650999903678894,"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":0.7421874403953552},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.648973822593689},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6207619309425354},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5453538298606873},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5037145018577576},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.45607003569602966},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4529697597026825},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4515692889690399},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.42215749621391296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3821912109851837},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.30392926931381226},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13069257140159607},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12075838446617126}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7421874403953552},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.648973822593689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6207619309425354},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5453538298606873},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5037145018577576},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45607003569602966},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4529697597026825},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4515692889690399},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.42215749621391296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3821912109851837},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.30392926931381226},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13069257140159607},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12075838446617126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isie.2018.8433647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie.2018.8433647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 27th International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1012462188","https://openalex.org/W1678103973","https://openalex.org/W1978431198","https://openalex.org/W2096277597","https://openalex.org/W2323278171","https://openalex.org/W2346299908","https://openalex.org/W2412247133","https://openalex.org/W2767125546"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2566526749","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W4312415459"],"abstract_inverted_index":{"Smart":[0,15],"transportation":[1],"and":[2,34,83,102,132,146,149,166,180,202,216],"smart":[3,46],"healthcare":[4],"are":[5,109,178],"considered":[6,183],"as":[7,45,65,80],"essential":[8],"industrial":[9],"applications":[10,35,78],"in":[11,76],"the":[12,22,150,157,169,185,204,210],"era":[13],"of":[14,30,41,58,95,106,140,175,187],"City.":[16],"The":[17,56,135,206],"emerging":[18],"wireless":[19,66],"technologies":[20],"facilitates":[21,71],"network":[23,68],"expansion":[24],"by":[25,111],"connected":[26],"all":[27],"various":[28],"kinds":[29],"devices,":[31],"sensors,":[32],"algorithms,":[33],"together.":[36],"Therefore,":[37],"a":[38],"huge":[39],"number":[40],"wearable":[42,60],"sensors":[43,61],"such":[44,79],"watches,":[47],"headbands,":[48],"chest":[49],"straps":[50],"etc.":[51],"have":[52],"been":[53],"developed":[54],"recently.":[55],"integration":[57],"those":[59],"is":[62,89,126],"usually":[63],"defined":[64],"body":[67],"(WBN).":[69],"WBN":[70],"real-time":[72],"monitoring":[73],"humans'":[74,121],"status":[75,122],"numerous":[77],"worker":[81],"safety":[82],"patient":[84],"tracking.":[85],"As":[86],"such,":[87],"it":[88],"found":[90],"that":[91,209],"more":[92,103],"than":[93,104],"60%":[94],"adult":[96],"drivers":[97],"felt":[98],"sleepy":[99],"while":[100],"driving":[101],"40%":[105],"traffic":[107],"accidents":[108],"caused":[110],"drunk":[112,133,147],"drivers.":[113],"In":[114],"this":[115,167],"paper,":[116],"an":[117],"electrocardiogram":[118],"(ECG)":[119],"based":[120],"detection":[123,170],"(ECG-HSD)":[124],"scheme":[125],"proposed":[127,136,211],"to":[128],"detect":[129],"both":[130],"drowsy":[131,145],"status.":[134],"ECG-HSD":[137,212],"extracted":[138],"similarities":[139],"ECG":[141,162],"signals":[142],"under":[143],"normal,":[144],"conditions":[148],"corresponding":[151],"feature":[152],"vector":[153],"was":[154,197],"built.":[155],"Then,":[156],"important":[158],"data":[159],"points":[160],"on":[161],"samples":[163],"were":[164,182],"weighted":[165],"improves":[168],"accuracy.":[171],"Besides,":[172],"two":[173],"criteria":[174,189],"classifier":[176],"which":[177],"accuracy":[179,215],"testing":[181,218],"with":[184],"aid":[186],"multiple":[188],"decision":[190],"making":[191],"(MCDM).":[192],"After":[193],"that,":[194],"K-fold":[195],"validation":[196],"carried":[198],"out":[199],"for":[200],"training":[201],"validating":[203],"classifiers.":[205],"results":[207],"revealed":[208],"achieved":[213],"satisfied":[214],"short":[217],"time.":[219]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}