{"id":"https://openalex.org/W4404628446","doi":"https://doi.org/10.1109/niles63360.2024.10753228","title":"A Deep Learning Approach Using WESAD Data for Multi-Class Classification with Wearable Sensors","display_name":"A Deep Learning Approach Using WESAD Data for Multi-Class Classification with Wearable Sensors","publication_year":2024,"publication_date":"2024-10-19","ids":{"openalex":"https://openalex.org/W4404628446","doi":"https://doi.org/10.1109/niles63360.2024.10753228"},"language":"en","primary_location":{"id":"doi:10.1109/niles63360.2024.10753228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/niles63360.2024.10753228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th Novel Intelligent and Leading Emerging Sciences Conference (NILES)","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/A5114754842","display_name":"Mohamed Abd Al Aleem","orcid":null},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Abd Al Aleem","raw_affiliation_strings":["Helwan University,Faculty of Engineering,Biomedical Engineering Department,Helwan,Cairo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helwan University,Faculty of Engineering,Biomedical Engineering Department,Helwan,Cairo","institution_ids":["https://openalex.org/I84058292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057456337","display_name":"Roaa I. Mubarak","orcid":"https://orcid.org/0000-0002-7246-9997"},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Roaa Mubarak","raw_affiliation_strings":["Helwan University,Faculty of Engineering,Electronics and Communication Engineering Department,Helwan,Cairo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helwan University,Faculty of Engineering,Electronics and Communication Engineering Department,Helwan,Cairo","institution_ids":["https://openalex.org/I84058292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061751653","display_name":"Nancy M. Salem","orcid":"https://orcid.org/0000-0001-7093-2944"},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Nancy M. Salem","raw_affiliation_strings":["Helwan University,Faculty of Engineering,Biomedical Engineering Department,Helwan,Cairo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helwan University,Faculty of Engineering,Biomedical Engineering Department,Helwan,Cairo","institution_ids":["https://openalex.org/I84058292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017120492","display_name":"Ibrahim Sadek","orcid":"https://orcid.org/0000-0001-8932-8229"},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ibrahim Sadek","raw_affiliation_strings":["Helwan University,Faculty of Engineering,Biomedical Engineering Department,Helwan,Cairo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helwan University,Faculty of Engineering,Biomedical Engineering Department,Helwan,Cairo","institution_ids":["https://openalex.org/I84058292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I84058292"],"apc_list":null,"apc_paid":null,"fwci":1.6292,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8428491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"194","last_page":"197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.5346999764442444,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.5346999764442444,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.5343999862670898,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.5235000252723694,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7390926480293274},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6338313221931458},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6329149603843689},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.606606125831604},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48550963401794434},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4464975595474243},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44630002975463867},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3507581651210785},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.09496411681175232}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7390926480293274},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6338313221931458},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6329149603843689},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.606606125831604},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48550963401794434},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4464975595474243},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44630002975463867},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3507581651210785},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.09496411681175232}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/niles63360.2024.10753228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/niles63360.2024.10753228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th Novel Intelligent and Leading Emerging Sciences Conference (NILES)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1947251450","https://openalex.org/W2002055708","https://openalex.org/W2026891775","https://openalex.org/W2112911661","https://openalex.org/W2164427779","https://openalex.org/W2268919308","https://openalex.org/W2599124244","https://openalex.org/W2600660804","https://openalex.org/W2731964405","https://openalex.org/W2894771803","https://openalex.org/W3007858460","https://openalex.org/W3033373145","https://openalex.org/W3082076610","https://openalex.org/W3110783124","https://openalex.org/W3114627553","https://openalex.org/W3126247264","https://openalex.org/W3127209096","https://openalex.org/W3142519525","https://openalex.org/W3157706564","https://openalex.org/W3167394498","https://openalex.org/W3170512520","https://openalex.org/W3203334966","https://openalex.org/W4220883868","https://openalex.org/W4229864968","https://openalex.org/W4244718478","https://openalex.org/W4292862536","https://openalex.org/W4296218619","https://openalex.org/W4307268927","https://openalex.org/W4308123703","https://openalex.org/W4376650718"],"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/W4380075502","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W4312415459"],"abstract_inverted_index":{"Stress":[0,31],"is":[1],"a":[2,121,142],"common":[3],"part":[4],"of":[5,22,124,129,145,150],"life,":[6],"but":[7],"chronic":[8],"or":[9],"intense":[10],"stress":[11,24,43,57,109],"can":[12,25,38],"severely":[13],"impact":[14],"safety":[15],"and":[16,51,64,95,108],"disrupt":[17],"daily":[18],"activities.":[19],"Early":[20],"detection":[21],"mental":[23],"prevent":[26,69],"many":[27],"related":[28],"health":[29,71],"issues.":[30],"causes":[32],"significant":[33],"changes":[34],"in":[35],"biosignals,":[36],"which":[37],"be":[39],"used":[40],"to":[41,68],"identify":[42],"levels.":[44],"This":[45],"paper":[46],"proposes":[47],"various":[48],"machine":[49],"learning":[50,53],"deep":[52],"techniques":[54],"for":[55,114,135],"detecting":[56],"using":[58],"multimodal":[59],"datasets":[60],"from":[61,74,101],"wearable":[62],"physiological":[63],"motion":[65],"sensors,":[66],"aiming":[67],"stress-related":[70],"problems.":[72],"Data":[73],"sensor":[75],"modalities":[76],"such":[77],"as":[78],"three-axis":[79],"acceleration":[80],"(ACC),":[81],"electrocardiogram":[82],"(ECG),":[83],"blood":[84],"volume":[85],"pulse":[86],"(BVP),":[87],"body":[88],"temperature":[89],"(TEMP),":[90],"respiration":[91],"(RESP),":[92],"electromyogram":[93],"(EMG),":[94],"electrodermal":[96],"activity":[97],"(EDA)":[98],"were":[99,118,139],"taken":[100],"the":[102,115,132,136],"WESAD":[103],"dataset,":[104],"covering":[105],"amusement,":[106],"neutral,":[107],"states.":[110],"The":[111],"best":[112,133],"results":[113,134],"Adam":[116],"optimizer":[117,138],"achieved":[119],"with":[120,141],"batch":[122,143],"size":[123,144],"16,":[125,146],"yielding":[126,147],"an":[127,148],"accuracy":[128,149],"90.26%,":[130],"while":[131],"SGD":[137],"obtained":[140],"87.84%.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}