{"id":"https://openalex.org/W4360605099","doi":"https://doi.org/10.1109/icaiic57133.2023.10067117","title":"A Study on the Fatigue Evaluation Platform using Bio-signal based on Artificial Neural Network","display_name":"A Study on the Fatigue Evaluation Platform using Bio-signal based on Artificial Neural Network","publication_year":2023,"publication_date":"2023-02-20","ids":{"openalex":"https://openalex.org/W4360605099","doi":"https://doi.org/10.1109/icaiic57133.2023.10067117"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic57133.2023.10067117","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaiic57133.2023.10067117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5034603408","display_name":"Jeong-Su Kim","orcid":"https://orcid.org/0000-0002-2835-1684"},"institutions":[{"id":"https://openalex.org/I4210104306","display_name":"Tongmyong University","ror":"https://ror.org/01asa8g02","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210104306"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jeong-Su Kim","raw_affiliation_strings":["The Graduate School, Tongmyong University,Dept. Computer &#x0026; Media Engineering,Busan,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"The Graduate School, Tongmyong University,Dept. Computer &#x0026; Media Engineering,Busan,Republic of Korea","institution_ids":["https://openalex.org/I4210104306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036743071","display_name":"Dong Myung Lee","orcid":"https://orcid.org/0000-0002-1314-8763"},"institutions":[{"id":"https://openalex.org/I4210104306","display_name":"Tongmyong University","ror":"https://ror.org/01asa8g02","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210104306"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong Myung Lee","raw_affiliation_strings":["Tongmyong University,Dept. of Computer Engineering,Busan,Republic of Korea","Dept. of Computer Engineering, Tongmyong University, Busan, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Tongmyong University,Dept. of Computer Engineering,Busan,Republic of Korea","institution_ids":["https://openalex.org/I4210104306"]},{"raw_affiliation_string":"Dept. of Computer Engineering, Tongmyong University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4210104306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034603408"],"corresponding_institution_ids":["https://openalex.org/I4210104306"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02345472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"376","issue":null,"first_page":"030","last_page":"032"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.8730000257492065,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.8730000257492065,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13535","display_name":"Wireless Sensor Networks and IoT","score":0.7723000049591064,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12597","display_name":"Fire Detection and Safety Systems","score":0.7710000276565552,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/support-vector-machine","display_name":"Support vector machine","score":0.8357499837875366},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.8057938814163208},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7631098628044128},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6199654936790466},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5569208860397339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.55623859167099},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5322014689445496},{"id":"https://openalex.org/keywords/muscle-fatigue","display_name":"Muscle fatigue","score":0.49553072452545166},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44360843300819397},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.43520331382751465},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.4094684422016144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4032955765724182},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3794383704662323},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.14498162269592285},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08267393708229065}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8357499837875366},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8057938814163208},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7631098628044128},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6199654936790466},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5569208860397339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.55623859167099},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5322014689445496},{"id":"https://openalex.org/C2776874296","wikidata":"https://www.wikidata.org/wiki/Q6940317","display_name":"Muscle fatigue","level":3,"score":0.49553072452545166},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44360843300819397},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.43520331382751465},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.4094684422016144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4032955765724182},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3794383704662323},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.14498162269592285},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08267393708229065},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic57133.2023.10067117","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaiic57133.2023.10067117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2979948881","https://openalex.org/W3011744632"],"related_works":["https://openalex.org/W2534579942","https://openalex.org/W2470063585","https://openalex.org/W2170492757","https://openalex.org/W2013199111","https://openalex.org/W1892004929","https://openalex.org/W1790732178","https://openalex.org/W2363387134","https://openalex.org/W2487974259","https://openalex.org/W2486143720","https://openalex.org/W4294218678"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"in":[3,15,24],"order":[4],"to":[5,55,91,121],"reduce":[6],"safety":[7],"accidents":[8],"caused":[9],"by":[10,44],"physical":[11],"and":[12,33,50,60,85,97,151],"mental":[13],"fatigue":[14,23,40,75,87,116],"industrial":[16],"sites,":[17],"a":[18,25,104],"platform":[19,77,141],"for":[20],"evaluating":[21],"worker":[22],"specific":[26],"process":[27],"was":[28,42,78,136],"proposed":[29,70,140],"using":[30],"Electroencephalogram":[31],"(EEG)":[32],"Electromyography":[34],"(EMG).":[35],"First,":[36],"the":[37,47,56,66,69,81,92,98,107,110,115,125,129,139,147],"performance":[38,67],"of":[39,68,94,100,106,124,131],"evaluation":[41,76,88,117],"analyzed":[43],"simultaneously":[45],"applying":[46],"worker's":[48],"EEG":[49],"EMG":[51],"measurement":[52],"signal":[53],"values":[54],"existing":[57,82,148],"random":[58,83,149],"forest":[59,84,150],"support":[61],"vector":[62],"machine":[63],"(SVM).":[64],"Next,":[65],"artificial":[71],"neural":[72],"network":[73],"(ANN)-based":[74],"compared":[79],"with":[80],"SVM-based":[86],"systems":[89],"according":[90],"number":[93,99,130],"ANN":[95,111],"layers":[96],"training":[101,132],"trials.":[102],"As":[103],"result":[105],"experiment,":[108],"when":[109],"trains":[112],"100\u2013200":[113],"times,":[114],"accuracy":[118,145],"is":[119],"89%":[120],"92%":[122],"regardless":[123],"layer":[126],"type":[127],"or":[128],"times.":[133],"Finally,":[134],"it":[135],"confirmed":[137],"that":[138],"has":[142],"2.36-17.19<sup>%</sup>":[143],"better":[144],"than":[146],"SVM.":[152]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
