{"id":"https://openalex.org/W4388820389","doi":"https://doi.org/10.1109/icnsc58704.2023.10319043","title":"IoB-Enhanced Deep Learning for Non-specific Thermal Respiratory Rate Monitoring","display_name":"IoB-Enhanced Deep Learning for Non-specific Thermal Respiratory Rate Monitoring","publication_year":2023,"publication_date":"2023-10-25","ids":{"openalex":"https://openalex.org/W4388820389","doi":"https://doi.org/10.1109/icnsc58704.2023.10319043"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc58704.2023.10319043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc58704.2023.10319043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103237662","display_name":"Chin\u2010Feng Lai","orcid":"https://orcid.org/0000-0001-7138-0272"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chin-Feng Lai","raw_affiliation_strings":["National Cheng Kung University,Department of Engineering Science,Tainan,Taiwan","Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Department of Engineering Science,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030858704","display_name":"Shih-Yeh Chen","orcid":"https://orcid.org/0000-0002-1863-6168"},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shih-Yeh Chen","raw_affiliation_strings":["National Taiwan Ocean University,Department of Computer Science and Engineering,Keelung,Taiwan","Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan Ocean University,Department of Computer Science and Engineering,Keelung,Taiwan","institution_ids":["https://openalex.org/I153512688"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111077025","display_name":"Yun-Fan Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yun-Fan Wei","raw_affiliation_strings":["National Taiwan Ocean University,Department of Computer Science and Engineering,Keelung,Taiwan","Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan Ocean University,Department of Computer Science and Engineering,Keelung,Taiwan","institution_ids":["https://openalex.org/I153512688"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038663636","display_name":"Mu\u2010Yen Chen","orcid":"https://orcid.org/0000-0002-3945-4363"},"institutions":[{"id":"https://openalex.org/I178613991","display_name":"National Taitung University","ror":"https://ror.org/05j9d8v51","country_code":"TW","type":"education","lineage":["https://openalex.org/I178613991"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Mu-Yen Chen","raw_affiliation_strings":["National Taitung University,Department of Computer Science and Information Engineering,Taitung,Taiwan","Department of Computer Science and Information Engineering, National Taitung University, Taitung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taitung University,Department of Computer Science and Information Engineering,Taitung,Taiwan","institution_ids":["https://openalex.org/I178613991"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taitung University, Taitung, Taiwan","institution_ids":["https://openalex.org/I178613991"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028408688","display_name":"Shing-Yu Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I178613991","display_name":"National Taitung University","ror":"https://ror.org/05j9d8v51","country_code":"TW","type":"education","lineage":["https://openalex.org/I178613991"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shing-Yu Lai","raw_affiliation_strings":["National Taitung University,Department of Computer Science and Information Engineering,Taitung,Taiwan","Department of Computer Science and Information Engineering, National Taitung University, Taitung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taitung University,Department of Computer Science and Information Engineering,Taitung,Taiwan","institution_ids":["https://openalex.org/I178613991"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taitung University, Taitung, Taiwan","institution_ids":["https://openalex.org/I178613991"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9994999766349792,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11861","display_name":"Thermal Regulation in Medicine","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2706","display_name":"Critical Care and Intensive Care 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/computer-science","display_name":"Computer science","score":0.6515547037124634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5709044933319092},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5510079860687256},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4343893527984619},{"id":"https://openalex.org/keywords/respiratory-rate","display_name":"Respiratory rate","score":0.4203195571899414},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38123375177383423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34179896116256714}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6515547037124634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5709044933319092},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5510079860687256},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4343893527984619},{"id":"https://openalex.org/C8213797","wikidata":"https://www.wikidata.org/wiki/Q754250","display_name":"Respiratory rate","level":4,"score":0.4203195571899414},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38123375177383423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34179896116256714},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc58704.2023.10319043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc58704.2023.10319043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Networking, Sensing and Control (ICNSC)","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":25,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2007597446","https://openalex.org/W2310813303","https://openalex.org/W2333868452","https://openalex.org/W2560327323","https://openalex.org/W2586945231","https://openalex.org/W2602052348","https://openalex.org/W2747690336","https://openalex.org/W2785001501","https://openalex.org/W2888804473","https://openalex.org/W2939384951","https://openalex.org/W2971910390","https://openalex.org/W3016188855","https://openalex.org/W3020698208","https://openalex.org/W3042621923","https://openalex.org/W3089240259","https://openalex.org/W3107716124","https://openalex.org/W3175128494","https://openalex.org/W3196499291","https://openalex.org/W3205007690","https://openalex.org/W4249717721","https://openalex.org/W6698137705","https://openalex.org/W6730045481","https://openalex.org/W6782917696","https://openalex.org/W6797997827"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4304166257","https://openalex.org/W4294635752","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W2804383999","https://openalex.org/W2802049774"],"abstract_inverted_index":{"The":[0],"growing":[1],"trend":[2],"of":[3,32,111,127,158,192,208,219,247],"population":[4],"aging":[5],"has":[6],"resulted":[7],"in":[8,35,178,197,230],"an":[9,68],"increasing":[10],"demand":[11],"for":[12,45,241],"long-term":[13],"care":[14],"and":[15,77,87,114,151,174,203,245],"medical":[16],"assistance.":[17],"To":[18],"address":[19],"this,":[20],"non-contact":[21],"physiological":[22],"measurements":[23,153],"have":[24,42],"made":[25],"significant":[26,217],"advancements":[27],"by":[28,227],"harnessing":[29],"the":[30,33,85,89,109,123,142,189,239,242],"potential":[31],"IoB":[34,112,164],"emerging":[36],"technologies.":[37],"While":[38],"thermal":[39,75,231],"imaging":[40],"techniques":[41],"been":[43],"explored":[44],"respiratory":[46,119,131,182,233,249],"rate":[47,132,183,234,250],"measurement,":[48],"limited":[49],"research":[50,135],"focuses":[51],"on":[52],"scenarios":[53,198],"where":[54,199],"facial":[55,228],"obstructions,":[56],"like":[57],"glasses":[58,202],"or":[59],"masks,":[60],"are":[61],"present.":[62],"In":[63],"this":[64],"study,":[65],"we":[66,99,169],"propose":[67],"IoB-enhanced":[69,194],"method":[70],"that":[71],"utilizes":[72],"low-resolution":[73],"continuous":[74],"images":[76],"advanced":[78],"image":[79],"processing":[80],"techniques.":[81],"By":[82,162],"accurately":[83],"segmenting":[84],"foreground":[86],"transforming":[88],"data":[90,115,172],"into":[91,166],"frequency":[92],"domain":[93,97],"information":[94],"after":[95],"temporal":[96],"denoising,":[98],"obtain":[100],"valuable":[101],"insights.":[102],"A":[103],"deep":[104],"neural":[105],"network,":[106],"trained":[107],"with":[108,154],"fusion":[110],"insights":[113],"from":[116],"a":[117,155,179,216],"piezoelectric":[118],"belt,":[120],"intelligently":[121],"selects":[122],"most":[124],"suitable":[125],"region":[126],"interest":[128],"to":[129,140],"measure":[130],"accurately.":[133],"Our":[134],"prioritizes":[136],"optimizing":[137],"computational":[138],"efficiency":[139],"ensure":[141],"method's":[143],"feasibility":[144],"within":[145],"low-power":[146],"embedded":[147],"systems,":[148],"achieving":[149],"real-time":[150],"accurate":[152],"power":[156],"consumption":[157],"only":[159],"10":[160],"watts.":[161],"integrating":[163],"principles":[165],"our":[167,193,212,221],"method,":[168,195],"enhance":[170],"connectivity,":[171],"exchange,":[173],"behavioral":[175],"insights,":[176],"resulting":[177],"more":[180],"effective":[181],"measurement":[184],"system.":[185],"Experimental":[186],"results":[187],"demonstrate":[188],"superior":[190],"accuracy":[191],"even":[196],"subjects":[200],"wear":[201],"masks":[204],"while":[205],"maintaining":[206],"freedom":[207],"head":[209],"movement.":[210],"Although":[211],"model":[213],"training":[214],"requires":[215],"amount":[218],"data,":[220],"approach":[222],"substantially":[223],"reduces":[224],"limitations":[225],"imposed":[226],"obstructions":[229],"imaging-based":[232],"measurement.":[235],"This":[236],"breakthrough":[237],"sets":[238],"stage":[240],"future":[243],"adoption":[244],"advancement":[246],"IoB-driven":[248],"monitoring.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
