{"id":"https://openalex.org/W4391448973","doi":"https://doi.org/10.1145/3643866","title":"MiSleep: Human Sleep Posture Identification from Deep Learning Augmented Millimeter-wave Wireless Systems","display_name":"MiSleep: Human Sleep Posture Identification from Deep Learning Augmented Millimeter-wave Wireless Systems","publication_year":2024,"publication_date":"2024-02-01","ids":{"openalex":"https://openalex.org/W4391448973","doi":"https://doi.org/10.1145/3643866"},"language":"en","primary_location":{"id":"doi:10.1145/3643866","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3643866","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3643866","source":{"id":"https://openalex.org/S4210175912","display_name":"ACM Transactions on Internet of Things","issn_l":"2577-6207","issn":["2577-6207","2691-1914"],"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":"ACM Transactions on Internet of Things","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3643866","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038042644","display_name":"Aakriti Adhikari","orcid":"https://orcid.org/0000-0003-2747-2764"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aakriti Adhikari","raw_affiliation_strings":["University of South Carolina, Columbia, USA"],"raw_orcid":"https://orcid.org/0000-0003-2747-2764","affiliations":[{"raw_affiliation_string":"University of South Carolina, Columbia, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003823888","display_name":"Sanjib Sur","orcid":"https://orcid.org/0000-0002-5711-3087"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjib Sur","raw_affiliation_strings":["University of South Carolina, Columbia, USA"],"raw_orcid":"https://orcid.org/0000-0002-5711-3087","affiliations":[{"raw_affiliation_string":"University of South Carolina, Columbia, USA","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038042644"],"corresponding_institution_ids":["https://openalex.org/I155781252"],"apc_list":null,"apc_paid":null,"fwci":2.2032,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87427595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"5","issue":"2","first_page":"1","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10860","display_name":"Speech and Audio Processing","score":0.9725000262260437,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9623000025749207,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.7475558519363403},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6055368781089783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5215641856193542},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5046364068984985},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.4932062029838562},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4567407965660095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4454960823059082},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.26867324113845825},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.16413000226020813}],"concepts":[{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.7475558519363403},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6055368781089783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5215641856193542},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5046364068984985},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.4932062029838562},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4567407965660095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4454960823059082},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.26867324113845825},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.16413000226020813},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3643866","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3643866","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3643866","source":{"id":"https://openalex.org/S4210175912","display_name":"ACM Transactions on Internet of Things","issn_l":"2577-6207","issn":["2577-6207","2691-1914"],"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":"ACM Transactions on Internet of Things","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3643866","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3643866","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3643866","source":{"id":"https://openalex.org/S4210175912","display_name":"ACM Transactions on Internet of Things","issn_l":"2577-6207","issn":["2577-6207","2691-1914"],"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":"ACM Transactions on Internet of Things","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G1257477662","display_name":null,"funder_award_id":"1910853","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3879616038","display_name":null,"funder_award_id":"MRI-2018966","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4735804218","display_name":null,"funder_award_id":"CAREER-2144505","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5102497354","display_name":null,"funder_award_id":"CNS-1910853","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7634321371","display_name":null,"funder_award_id":"2018966","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391448973.pdf","grobid_xml":"https://content.openalex.org/works/W4391448973.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W1277966809","https://openalex.org/W1538006934","https://openalex.org/W1932367580","https://openalex.org/W1973525485","https://openalex.org/W1984971302","https://openalex.org/W1991113589","https://openalex.org/W2004363363","https://openalex.org/W2029525356","https://openalex.org/W2066341728","https://openalex.org/W2088948024","https://openalex.org/W2113486371","https://openalex.org/W2140041659","https://openalex.org/W2147517352","https://openalex.org/W2152506241","https://openalex.org/W2158861971","https://openalex.org/W2160787420","https://openalex.org/W2164174930","https://openalex.org/W2221724861","https://openalex.org/W2273658016","https://openalex.org/W2521231181","https://openalex.org/W2592320374","https://openalex.org/W2604375920","https://openalex.org/W2623902889","https://openalex.org/W2796314695","https://openalex.org/W2800429067","https://openalex.org/W2809990528","https://openalex.org/W2914492151","https://openalex.org/W2949860773","https://openalex.org/W2952425412","https://openalex.org/W2955130236","https://openalex.org/W2962810347","https://openalex.org/W2971601803","https://openalex.org/W2990165697","https://openalex.org/W2993797559","https://openalex.org/W3015899089","https://openalex.org/W3016108562","https://openalex.org/W3021765248","https://openalex.org/W3036442921","https://openalex.org/W3047450415","https://openalex.org/W3061830344","https://openalex.org/W3103564114","https://openalex.org/W3127271224","https://openalex.org/W3130100348","https://openalex.org/W3144149715","https://openalex.org/W3156201172","https://openalex.org/W3177525997","https://openalex.org/W3185878134","https://openalex.org/W3195119059","https://openalex.org/W4210553182","https://openalex.org/W4213253019","https://openalex.org/W4220891473","https://openalex.org/W4229948457","https://openalex.org/W4232992430","https://openalex.org/W4234453136","https://openalex.org/W4236630542","https://openalex.org/W4238327235","https://openalex.org/W4244531973","https://openalex.org/W4246762826","https://openalex.org/W4247329357","https://openalex.org/W4247556997","https://openalex.org/W4249684695","https://openalex.org/W4251081792","https://openalex.org/W4253287093","https://openalex.org/W4255011594","https://openalex.org/W4256549584","https://openalex.org/W4283026646","https://openalex.org/W4292905395","https://openalex.org/W4302192999","https://openalex.org/W6674417873"],"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/W2898732673","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W2410053581"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"propose":[4],"MiSleep":[5,42,57,84,119,149,175],",":[6],"a":[7,30,105,121,204],"deep":[8,65],"learning":[9,66,89],"augmented":[10],"millimeter-wave":[11],"(mmWave)":[12],"wireless":[13],"system":[14],"to":[15,51,68,129],"monitor":[16],"human":[17,61],"sleep":[18,39,107,169],"posture":[19,117,141],"by":[20,88],"predicting":[21],"the":[22,26,86,90,126,131,140,144,177,191,197,216,223,228],"3D":[23,198],"location":[24,199],"of":[25,29,60,101,161,190,200,207,230],"body":[27,97,201],"joints":[28,202],"person":[31],"during":[32,143],"sleep.":[33],"Unlike":[34],"existing":[35,72,102,224],"vision-":[36],"or":[37,136],"wearable-based":[38],"monitoring":[40],"systems,":[41],"is":[43],"not":[44,48],"privacy-invasive":[45],"and":[46,64,77,80,96,138,165,182,187,195,211],"does":[47],"require":[49],"users":[50],"wear":[52],"anything":[53],"on":[54,125,220],"their":[55],"body.":[56],"leverages":[58],"knowledge":[59],"anatomical":[62],"features":[63],"models":[67],"solve":[69],"challenges":[70],"in":[71,82,116],"mmWave":[73,93,156,231],"devices":[74,157],"with":[75,150,203,218,222],"low-resolution":[76],"aliased":[78],"imaging":[79],"specularity":[81],"signals.":[83],"builds":[85],"model":[87],"relationship":[91],"between":[92],"reflected":[94,127],"signals":[95,128],"postures":[98,170],"from":[99,154],"thousands":[100],"samples.":[103],"Since":[104],"practical":[106],"also":[108],"involves":[109],"sudden":[110],"toss-turns,":[111],"which":[112],"could":[113],"introduce":[114],"errors":[115],"prediction,":[118],"designs":[120],"state":[122],"machine":[123],"based":[124],"classify":[130],"sleeping":[132],"states":[133],"into":[134],"rest":[135,145],"toss-turn":[137,178],"predict":[139],"only":[142,210],"states.":[146],"We":[147,172],"evaluate":[148],"real":[151],"data":[152],"collected":[153],"Commercial-Off-The-Shelf":[155],"for":[158,233],"eight":[159],"volunteers":[160],"diverse":[162],"ages,":[163],"genders,":[164],"heights":[166],"performing":[167],"different":[168],".":[171],"observe":[173],"that":[174],"identifies":[176],"events":[179],"start":[180],"time":[181],"duration":[183],"within":[184],"1.25":[185],"s":[186,189],"1.7":[188],"ground":[192],"truth,":[193],"respectively,":[194],"predicts":[196],"median":[205],"error":[206],"1.3":[208],"cm":[209],"can":[212],"perform":[213],"even":[214],"under":[215],"blankets,":[217],"accuracy":[219],"par":[221],"vision-based":[225],"system,":[226],"unlocking":[227],"potential":[229],"systems":[232],"privacy-noninvasive":[234],"at-home":[235],"healthcare":[236],"applications.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}