{"id":"https://openalex.org/W4214941841","doi":"https://doi.org/10.1109/icaiic54071.2022.9722690","title":"Thermal Array Sensor Resolution-Aware Activity Recognition using Convolutional Neural Network","display_name":"Thermal Array Sensor Resolution-Aware Activity Recognition using Convolutional Neural Network","publication_year":2022,"publication_date":"2022-02-21","ids":{"openalex":"https://openalex.org/W4214941841","doi":"https://doi.org/10.1109/icaiic54071.2022.9722690"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic54071.2022.9722690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic54071.2022.9722690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5028047132","display_name":"Goodness Oluchi Anyanwu","orcid":"https://orcid.org/0000-0002-0304-4143"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Goodness Oluchi Anyanwu","raw_affiliation_strings":["Kumoh National Institute of Technology,Department of IT Convergence Engineering,Gumi,South Korea","Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea"],"affiliations":[{"raw_affiliation_string":"Kumoh National Institute of Technology,Department of IT Convergence Engineering,Gumi,South Korea","institution_ids":["https://openalex.org/I113409471"]},{"raw_affiliation_string":"Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078533150","display_name":"Cosmas Ifeanyi Nwakanma","orcid":"https://orcid.org/0000-0003-3614-2687"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Cosmas Ifeanyi Nwakanma","raw_affiliation_strings":["Kumoh National Institute of Technology,Department of IT Convergence Engineering,Gumi,South Korea","Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea"],"affiliations":[{"raw_affiliation_string":"Kumoh National Institute of Technology,Department of IT Convergence Engineering,Gumi,South Korea","institution_ids":["https://openalex.org/I113409471"]},{"raw_affiliation_string":"Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021292368","display_name":"Adinda Riztia Putri","orcid":null},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Adinda Riztia Putri","raw_affiliation_strings":["Kumoh National Institute of Technology,Department of IT Convergence Engineering,Gumi,South Korea","Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea"],"affiliations":[{"raw_affiliation_string":"Kumoh National Institute of Technology,Department of IT Convergence Engineering,Gumi,South Korea","institution_ids":["https://openalex.org/I113409471"]},{"raw_affiliation_string":"Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100702253","display_name":"Jae\u2010Min Lee","orcid":"https://orcid.org/0000-0001-6885-5185"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Min Lee","raw_affiliation_strings":["Kumoh National Institute of Technology,Department of IT Convergence Engineering,Gumi,South Korea","Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea"],"affiliations":[{"raw_affiliation_string":"Kumoh National Institute of Technology,Department of IT Convergence Engineering,Gumi,South Korea","institution_ids":["https://openalex.org/I113409471"]},{"raw_affiliation_string":"Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102829948","display_name":"Dong\u2010Seong Kim","orcid":"https://orcid.org/0000-0002-2977-5964"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Seong Kim","raw_affiliation_strings":["Kumoh National Institute of Technology,Department of IT Convergence Engineering,Gumi,South Korea","Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea"],"affiliations":[{"raw_affiliation_string":"Kumoh National Institute of Technology,Department of IT Convergence Engineering,Gumi,South Korea","institution_ids":["https://openalex.org/I113409471"]},{"raw_affiliation_string":"Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067327707","display_name":"JeongHan Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095654","display_name":"Korea Pharma (South Korea)","ror":"https://ror.org/00q650071","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210095654"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"JeongHan Kim","raw_affiliation_strings":["TLBIZ Company Limited,Korea","TLBIZ Company Limited, Korea"],"affiliations":[{"raw_affiliation_string":"TLBIZ Company Limited,Korea","institution_ids":["https://openalex.org/I4210095654"]},{"raw_affiliation_string":"TLBIZ Company Limited, Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110846973","display_name":"Gihwan Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gihwan Hwang","raw_affiliation_strings":["Kumoh National Institute of Technology,Department of IT Convergence Engineering,Gumi,South Korea","Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea"],"affiliations":[{"raw_affiliation_string":"Kumoh National Institute of Technology,Department of IT Convergence Engineering,Gumi,South Korea","institution_ids":["https://openalex.org/I113409471"]},{"raw_affiliation_string":"Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea","institution_ids":["https://openalex.org/I113409471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5028047132"],"corresponding_institution_ids":["https://openalex.org/I113409471"],"apc_list":null,"apc_paid":null,"fwci":0.3018,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51677227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"19","issue":null,"first_page":"372","last_page":"376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9959999918937683,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9858999848365784,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8860855102539062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7210385799407959},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.645175576210022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5929837822914124},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5858524441719055},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.48981282114982605},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.45772939920425415},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41488543152809143},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.41132652759552},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3766099214553833},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37221813201904297},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35874369740486145},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.32591307163238525},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.28296762704849243},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09941431879997253}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8860855102539062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7210385799407959},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.645175576210022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5929837822914124},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5858524441719055},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.48981282114982605},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.45772939920425415},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41488543152809143},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.41132652759552},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3766099214553833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37221813201904297},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35874369740486145},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.32591307163238525},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.28296762704849243},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09941431879997253},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic54071.2022.9722690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic54071.2022.9722690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2601917592","https://openalex.org/W2914015009","https://openalex.org/W2962994562","https://openalex.org/W2980361194","https://openalex.org/W2981884135","https://openalex.org/W3000943722","https://openalex.org/W3023340129","https://openalex.org/W3047664514","https://openalex.org/W3081974973","https://openalex.org/W3111658548","https://openalex.org/W3111673039","https://openalex.org/W3143148078","https://openalex.org/W3156509758","https://openalex.org/W3162748615","https://openalex.org/W3174334351","https://openalex.org/W6755959371"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W4296995023","https://openalex.org/W2070173637"],"abstract_inverted_index":{"Human":[0],"activity":[1],"detection":[2],"and":[3,22,36,59,134,146],"classification":[4],"(HADC)":[5],"has":[6,70],"become":[7],"a":[8,89,102,112],"growing":[9],"research":[10],"issue":[11],"due":[12],"to":[13,107,132,141],"the":[14,23,26,49,55,60,63,77,98,109,119,126,143],"development":[15],"of":[16,28,51,62,79,111,151],"sensor":[17,52,56,83,116],"technologies,":[18],"deep":[19,64],"learning":[20,65],"models,":[21],"need":[24],"for":[25,46],"safety":[27],"people":[29],"in":[30,67,114],"smart":[31],"spaces":[32],"such":[33],"as":[34,125],"buildings":[35],"factories.":[37],"Various":[38],"researchers":[39],"have":[40],"employed":[41],"sensors":[42],"with":[43],"different":[44,81],"resolutions":[45,84],"HADC.":[47],"However,":[48,137],"impact":[50,78,110],"resolution":[53,127],"on":[54],"data":[57],"quality":[58],"accuracy":[61,124,150],"algorithm":[66],"this":[68,75],"field":[69],"been":[71],"little":[72],"discussed.":[73],"In":[74],"work,":[76],"three":[80],"thermal":[82,115],"was":[85,128,139],"investigated":[86],"while":[87],"proposing":[88],"convolutional":[90],"neural":[91],"network":[92],"(CNN).":[93],"The":[94],"results":[95],"showed":[96],"that":[97],"proposed":[99],"CNN":[100,120],"displayed":[101],"resolution-aware":[103],"performance,":[104],"being":[105],"able":[106,140],"contain":[108],"change":[113],"resolutions.":[117],"Although":[118],"model":[121],"had":[122],"lower":[123],"changed":[129],"from":[130],"32x32":[131],"4x4H":[133],"4x4,":[135],"respectively.":[136],"it":[138],"reduce":[142],"type":[144],"errors":[145],"maintain":[147],"an":[148],"average":[149],"82.74%.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
