{"id":"https://openalex.org/W2907377095","doi":"https://doi.org/10.1145/3287036","title":"Performance Characterization of Deep Learning Models for Breathing-based Authentication on Resource-Constrained Devices","display_name":"Performance Characterization of Deep Learning Models for Breathing-based Authentication on Resource-Constrained Devices","publication_year":2018,"publication_date":"2018-12-27","ids":{"openalex":"https://openalex.org/W2907377095","doi":"https://doi.org/10.1145/3287036","mag":"2907377095"},"language":"en","primary_location":{"id":"doi:10.1145/3287036","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3287036","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-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/A5021750511","display_name":"Jagmohan Chauhan","orcid":"https://orcid.org/0000-0003-2080-3276"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Jagmohan Chauhan","raw_affiliation_strings":["Aalto University, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053765366","display_name":"Jathushan Rajasegaran","orcid":"https://orcid.org/0000-0003-1081-4254"},"institutions":[{"id":"https://openalex.org/I195740183","display_name":"University of Moratuwa","ror":"https://ror.org/0491f5305","country_code":"LK","type":"education","lineage":["https://openalex.org/I195740183"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Jathushan Rajasegaran","raw_affiliation_strings":["University of Moratuwa, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"University of Moratuwa, Sri Lanka","institution_ids":["https://openalex.org/I195740183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038376039","display_name":"Suranga Seneviratne","orcid":"https://orcid.org/0000-0002-5485-5595"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Suranga Seneviratne","raw_affiliation_strings":["University of Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054849647","display_name":"Archan Misra","orcid":"https://orcid.org/0000-0003-1212-1769"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Archan Misra","raw_affiliation_strings":["Singapore Management University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031507494","display_name":"Aruna Seneviratne","orcid":"https://orcid.org/0000-0001-6894-7987"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Aruna Seneviratne","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114626700","display_name":"Youngki Lee","orcid":"https://orcid.org/0000-0002-1319-7071"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngki Lee","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5021750511"],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":3.6484,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.94204878,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"2","issue":"4","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8070611953735352},{"id":"https://openalex.org/keywords/smartwatch","display_name":"Smartwatch","score":0.6881852746009827},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5877667665481567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5470255017280579},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4779762923717499},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4192020893096924},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.299297958612442}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8070611953735352},{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.6881852746009827},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5877667665481567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5470255017280579},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4779762923717499},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4192020893096924},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.299297958612442}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3287036","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3287036","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-5258","is_oa":false,"landing_page_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=5258&context=sis_research","pdf_url":null,"source":{"id":"https://openalex.org/S4377196871","display_name":"Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1145/3287036","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1974758710","https://openalex.org/W1977295820","https://openalex.org/W1993387039","https://openalex.org/W1993409002","https://openalex.org/W1993882792","https://openalex.org/W1997430507","https://openalex.org/W2010362084","https://openalex.org/W2016944307","https://openalex.org/W2022376209","https://openalex.org/W2046056978","https://openalex.org/W2056738732","https://openalex.org/W2063224314","https://openalex.org/W2076845124","https://openalex.org/W2101234009","https://openalex.org/W2111303254","https://openalex.org/W2114925438","https://openalex.org/W2128071598","https://openalex.org/W2132641846","https://openalex.org/W2133665775","https://openalex.org/W2143612262","https://openalex.org/W2153635508","https://openalex.org/W2158176328","https://openalex.org/W2166344886","https://openalex.org/W2177847924","https://openalex.org/W2187089797","https://openalex.org/W2233116163","https://openalex.org/W2297325673","https://openalex.org/W2327501763","https://openalex.org/W2344284192","https://openalex.org/W2488752599","https://openalex.org/W2546536770","https://openalex.org/W2593245696","https://openalex.org/W2611410710","https://openalex.org/W2623333128","https://openalex.org/W2624700162","https://openalex.org/W2625157458","https://openalex.org/W2625969058","https://openalex.org/W2626129225","https://openalex.org/W2718701456","https://openalex.org/W2740884108","https://openalex.org/W2758133487","https://openalex.org/W2803579178","https://openalex.org/W2898799303","https://openalex.org/W2953384591","https://openalex.org/W2964299589","https://openalex.org/W3155649056","https://openalex.org/W4239414618","https://openalex.org/W4241727697","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W4285587629","https://openalex.org/W2756171776","https://openalex.org/W2765158217","https://openalex.org/W2961085424","https://openalex.org/W2971637278","https://openalex.org/W2993132146","https://openalex.org/W4306674287","https://openalex.org/W3047531582","https://openalex.org/W2599755607","https://openalex.org/W3046775127"],"abstract_inverted_index":{"Providing":[0],"secure":[1,44],"access":[2],"to":[3,277],"smart":[4,101],"devices":[5,14,22,56],"such":[6,52,55,214],"as":[7,20,215],"smartphones,":[8],"wearables":[9],"and":[10,37,70,89,105,117,146,185,191,204,218,229,251,282],"various":[11],"other":[12,152],"IoT":[13],"is":[15],"becoming":[16],"increasingly":[17],"important,":[18],"especially":[19],"these":[21],"store":[23],"a":[24,34,39,225,267,274],"range":[25],"of":[26,67,81,100,163,170,227,256,263,269],"sensitive":[27],"personal":[28],"information.":[29],"Breathing":[30],"acoustics-based":[31],"authentication":[32,41,53],"offers":[33],"highly":[35],"usable":[36],"possibly":[38],"secondary":[40],"mechanism":[42],"for":[43,51,85,133,199],"access.":[45],"Executing":[46],"sophisticated":[47],"machine":[48],"learning":[49,119],"pipelines":[50],"on":[54,94,97,173,183,249],"remains":[57],"an":[58,82,160],"open":[59],"problem,":[60],"given":[61],"their":[62],"resource":[63],"limitations":[64],"in":[65,139,223,234,242,287],"terms":[66],"storage,":[68],"memory":[69,203],"computational":[71,205],"power.":[72],"To":[73],"investigate":[74],"this":[75],"challenge,":[76],"we":[77,128],"compare":[78,246],"the":[79,137,142,174,247,254,260],"performance":[80,248],"end-to-end":[83],"system":[84],"both":[86,109],"user":[87,90],"identification":[88],"verification":[91],"tasks":[92],"based":[93,120,280],"breathing":[95,175,279],"acoustics":[96],"three":[98],"type":[99],"devices:":[102],"smartphone,":[103],"smartwatch":[104],"Raspberry":[106],"Pi":[107],"using":[108,210],"shallow":[110],"classifiers":[111,121],"(i.e.,":[112],"SVM,":[113],"GMM,":[114],"Logistic":[115],"Regression)":[116],"deep":[118],"(e.g.,":[122],"LSTM,":[123],"MLP).":[124],"Via":[125],"detailed":[126],"analysis,":[127],"conclude":[129],"that":[130,253],"LSTM":[131,157,235,264],"models":[132,265],"acoustic":[134],"classification":[135],"are":[136,147],"smallest":[138],"size,":[140,237],"have":[141],"lowest":[143],"inference":[144,179,261],"time":[145,262],"more":[148,283],"accurate":[149],"than":[150],"all":[151],"compared":[153],"classifiers.":[154],"An":[155],"uncompressed":[156],"model":[158,211,236],"provides":[159],"average":[161],"f-score":[162],"80%-94%":[164],"while":[165],"requiring":[166],"only":[167],"50--180":[168],"KB":[169],"storage":[171],"(depending":[172],"gesture).":[176],"The":[177],"resulting":[178],"can":[180,207,258],"be":[181,208],"done":[182],"smartphones":[184],"smartwatches":[186],"within":[187],"approximately":[188],"7--10":[189],"ms":[190,193],"18--66":[192],"respectively,":[194],"thereby":[195],"making":[196],"them":[197],"suitable":[198],"resource-constrained":[200],"devices.":[201],"Further":[202],"savings":[206],"achieved":[209],"compression":[212],"methods":[213],"weight":[216],"quantization":[217,228],"fully":[219],"connected":[220],"layer":[221],"factorization:":[222],"particular,":[224],"combination":[226],"factorization":[230],"achieves":[231],"25%--55%":[232],"reduction":[233],"with":[238],"almost":[239],"no":[240],"loss":[241],"performance.":[243],"We":[244],"also":[245],"GPUs":[250],"show":[252],"use":[255],"GPU":[257],"reduce":[259],"by":[266],"factor":[268],"300%.":[270],"These":[271],"results":[272],"provide":[273],"practical":[275],"way":[276],"deploy":[278],"biometrics,":[281],"broadly":[284],"LSTM-based":[285],"classifiers,":[286],"future":[288],"ubiquitous":[289],"computing":[290],"applications.":[291]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}