{"id":"https://openalex.org/W3200097090","doi":"https://doi.org/10.1109/hsi52170.2021.9538788","title":"Fully Automated AI-powered Contactless Cough Detection based on Pixel Value Dynamics Occurring within Facial Regions","display_name":"Fully Automated AI-powered Contactless Cough Detection based on Pixel Value Dynamics Occurring within Facial Regions","publication_year":2021,"publication_date":"2021-07-08","ids":{"openalex":"https://openalex.org/W3200097090","doi":"https://doi.org/10.1109/hsi52170.2021.9538788","mag":"3200097090"},"language":"en","primary_location":{"id":"doi:10.1109/hsi52170.2021.9538788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi52170.2021.9538788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 14th International Conference on Human System Interaction (HSI)","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/A5059919489","display_name":"Maciej Szankin","orcid":"https://orcid.org/0000-0002-2544-1393"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maciej Szankin","raw_affiliation_strings":["Intel Labs, San Diego, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Labs, San Diego, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043404759","display_name":"Alicja Kwa\u015bniewska","orcid":"https://orcid.org/0000-0001-6471-0595"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alicja Kwasniewska","raw_affiliation_strings":["SiMa.ai, San Jose, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SiMa.ai, San Jose, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112685983","display_name":"Natalia G\u0142owacka","orcid":null},"institutions":[{"id":"https://openalex.org/I169333911","display_name":"Gda\u0144sk University of Technology","ror":"https://ror.org/006x4sc24","country_code":"PL","type":"education","lineage":["https://openalex.org/I169333911"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Natalia Glowacka","raw_affiliation_strings":["Faculty of Electronics, Informatics and Telecommunication, Gdansk University of Technology, Gdansk, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electronics, Informatics and Telecommunication, Gdansk University of Technology, Gdansk, Poland","institution_ids":["https://openalex.org/I169333911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044309467","display_name":"Jacek Rumi\u0144ski","orcid":"https://orcid.org/0000-0003-2266-0088"},"institutions":[{"id":"https://openalex.org/I169333911","display_name":"Gda\u0144sk University of Technology","ror":"https://ror.org/006x4sc24","country_code":"PL","type":"education","lineage":["https://openalex.org/I169333911"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jacek Ruminski","raw_affiliation_strings":["Faculty of Electronics, Informatics and Telecommunication, Gdansk University of Technology, Gdansk, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electronics, Informatics and Telecommunication, Gdansk University of Technology, Gdansk, Poland","institution_ids":["https://openalex.org/I169333911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080750108","display_name":"Rey Nicolas","orcid":null},"institutions":[{"id":"https://openalex.org/I63533367","display_name":"General Atomics (United States)","ror":"https://ror.org/03ngjpk76","country_code":"US","type":"company","lineage":["https://openalex.org/I63533367"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rey Nicolas","raw_affiliation_strings":["General Atomics, San Diego, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"General Atomics, San Diego, USA","institution_ids":["https://openalex.org/I63533367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037188851","display_name":"David Gamba","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Gamba","raw_affiliation_strings":["SiMa.ai, San Jose, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SiMa.ai, San Jose, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1458,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52452643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12418","display_name":"Respiratory and Cough-Related Research","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12418","display_name":"Respiratory and Cough-Related Research","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10863","display_name":"Voice and Speech Disorders","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T13289","display_name":"Infant Health and Development","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7834459543228149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6494728326797485},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5440692901611328},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5346958041191101},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.521091103553772},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5154486298561096},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5054457187652588},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.4975626766681671},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.47259005904197693},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.45498788356781006},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4361043870449066},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.43422675132751465},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2983224391937256}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7834459543228149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6494728326797485},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5440692901611328},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5346958041191101},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.521091103553772},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5154486298561096},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5054457187652588},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.4975626766681671},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.47259005904197693},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.45498788356781006},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4361043870449066},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.43422675132751465},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2983224391937256},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hsi52170.2021.9538788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi52170.2021.9538788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 14th International Conference on Human System Interaction (HSI)","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":28,"referenced_works":["https://openalex.org/W2013480349","https://openalex.org/W2034738740","https://openalex.org/W2086297934","https://openalex.org/W2119745958","https://openalex.org/W2122147799","https://openalex.org/W2202075612","https://openalex.org/W2524536847","https://openalex.org/W2736210270","https://openalex.org/W2745303193","https://openalex.org/W2786508073","https://openalex.org/W2787094899","https://openalex.org/W2796347433","https://openalex.org/W2899311092","https://openalex.org/W2956829504","https://openalex.org/W2963566548","https://openalex.org/W2976171649","https://openalex.org/W2980401876","https://openalex.org/W2997019406","https://openalex.org/W3011040956","https://openalex.org/W3024635576","https://openalex.org/W3084702315","https://openalex.org/W3098200707","https://openalex.org/W3108250559","https://openalex.org/W3110805854","https://openalex.org/W3118723804","https://openalex.org/W4293584584","https://openalex.org/W6677639135","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W4390721878"],"abstract_inverted_index":{"Increased":[0],"interest":[1],"in":[2,57,88,213],"non-contact":[3],"evaluation":[4,160],"of":[5,40,43,59,94,123,138,141,155,173,178,187],"the":[6,124,136,163,171,174,185,193],"health":[7],"state":[8],"has":[9,197],"led":[10],"to":[11,103,110,120,135,184],"higher":[12],"expectations":[13],"for":[14,31,151],"delivering":[15],"automated":[16,153],"and":[17,107,144],"reliable":[18],"solutions":[19,30],"that":[20,66],"can":[21,108,203],"be":[22,55,85,205],"conveniently":[23],"used":[24],"during":[25],"daily":[26],"activities.":[27],"Although":[28],"some":[29],"cough":[32,167,179],"detection":[33,143,180],"exist,":[34],"they":[35],"suffer":[36],"from":[37,69],"a":[38,139,188],"series":[39],"limitations.":[41],"Some":[42],"them":[44,95],"rely":[45],"on":[46,77,162,207],"gesture":[47],"or":[48,64,90,222],"body":[49],"pose":[50],"recognition,":[51],"which":[52,83,100],"might":[53],"not":[54],"possible":[56],"cases":[58],"occlusions,":[60],"closer":[61],"camera":[62],"distances":[63],"impediments":[65],"prevent":[67],"users":[68],"performing":[70],"such":[71,215],"movements":[72],"at":[73],"all.":[74],"Others":[75],"focus":[76],"analyzing":[78],"breath":[79],"using":[80],"audio":[81],"recordings,":[82],"cannot":[84],"easily":[86],"applied":[87],"crowded":[89],"loud":[91],"spaces.":[92],"Many":[93],"utilize":[96],"visible":[97],"light":[98],"data":[99,168],"is":[101],"prone":[102],"changing":[104],"lighting":[105],"conditions":[106],"lead":[109],"various":[111],"privacy":[112],"concerns.":[113],"Taking":[114],"these":[115],"into":[116],"account,":[117],"we":[118],"propose":[119],"make":[121],"use":[122,137,186],"temporal":[125],"pixel":[126],"value":[127],"changes":[128],"occurring":[129],"within":[130],"specific":[131],"facial":[132],"areas.":[133],"Due":[134,183],"combination":[140],"object":[142],"signal":[145],"classification":[146,154],"models,":[147],"our":[148],"system":[149,195],"allows":[150],"fully":[152],"breathing":[156],"anomalies.":[157],"The":[158],"benchmark":[159],"performed":[161],"newly":[164],"created":[165],"thermal":[166],"set":[169],"proved":[170],"reliability":[172],"introduced":[175],"solution":[176],"(precision":[177],"equals":[181],"94%).":[182],"lightweight":[189],"deep":[190],"learning":[191],"model,":[192],"proposed":[194],"also":[196],"huge":[198],"practical":[199],"value,":[200],"as":[201,216],"it":[202],"potentially":[204],"deployed":[206],"edge":[208],"devices":[209],"frequently":[210],"sought":[211],"out":[212],"markets":[214],"autonomous":[217],"vehicles,":[218],"drones,":[219],"smart":[220],"home":[221],"military":[223],"applications.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}