{"id":"https://openalex.org/W4405247999","doi":"https://doi.org/10.1145/3705722","title":"WiSleep: Smartphone-driven Sleep Population Monitoring with Unsupervised Learning","display_name":"WiSleep: Smartphone-driven Sleep Population Monitoring with Unsupervised Learning","publication_year":2024,"publication_date":"2024-12-10","ids":{"openalex":"https://openalex.org/W4405247999","doi":"https://doi.org/10.1145/3705722"},"language":"en","primary_location":{"id":"doi:10.1145/3705722","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705722","pdf_url":null,"source":{"id":"https://openalex.org/S4387291547","display_name":"ACM Journal on Computing and Sustainable Societies","issn_l":"2834-5533","issn":["2834-5533"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Journal on Computing and Sustainable Societies","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3705722","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060394319","display_name":"Priyanka Mary Mammen","orcid":"https://orcid.org/0000-0001-7627-4479"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Priyanka Mary Mammen","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, United States"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, United States","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066360633","display_name":"Camellia Zakaria","orcid":"https://orcid.org/0000-0003-4520-9783"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Camellia Zakaria","raw_affiliation_strings":["University of Toronto, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044431195","display_name":"Tergel Molom-Ochir","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tergel Molom-Ochir","raw_affiliation_strings":["Duke University, Durham, United States"],"affiliations":[{"raw_affiliation_string":"Duke University, Durham, United States","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054130492","display_name":"Amee Trivedi","orcid":"https://orcid.org/0000-0003-3427-3333"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amee Trivedi","raw_affiliation_strings":["AT&amp;T Inc, Dallas, United States"],"affiliations":[{"raw_affiliation_string":"AT&amp;T Inc, Dallas, United States","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032939724","display_name":"Prashant Shenoy","orcid":"https://orcid.org/0000-0002-5435-1901"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prashant Shenoy","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, United States"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, United States","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075701279","display_name":"Rajesh Krishna Balan","orcid":"https://orcid.org/0000-0001-6289-9902"},"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":"Rajesh Balan","raw_affiliation_strings":["Singapore Management University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore, Singapore","institution_ids":["https://openalex.org/I79891267"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060394319"],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19716807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":"1","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9901999831199646,"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/T10316","display_name":"Sleep and related disorders","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.758122444152832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6765804290771484},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.6444781422615051},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.6284044981002808},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5653530955314636},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5601701736450195},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5340325832366943},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.51324462890625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42998701333999634},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4151558578014374},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4115653336048126},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33996737003326416},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19189980626106262},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14451280236244202},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.12266001105308533},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10687878727912903}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.758122444152832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6765804290771484},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.6444781422615051},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6284044981002808},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5653530955314636},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5601701736450195},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5340325832366943},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.51324462890625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42998701333999634},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4151558578014374},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4115653336048126},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33996737003326416},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19189980626106262},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14451280236244202},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.12266001105308533},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10687878727912903},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3705722","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705722","pdf_url":null,"source":{"id":"https://openalex.org/S4387291547","display_name":"ACM Journal on Computing and Sustainable Societies","issn_l":"2834-5533","issn":["2834-5533"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Journal on Computing and Sustainable Societies","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3705722","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705722","pdf_url":null,"source":{"id":"https://openalex.org/S4387291547","display_name":"ACM Journal on Computing and Sustainable Societies","issn_l":"2834-5533","issn":["2834-5533"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Journal on Computing and Sustainable Societies","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1034401897","display_name":null,"funder_award_id":"W911NF-17-2-0196","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1235962308","display_name":null,"funder_award_id":"2211302","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2430595655","display_name":"Broadening Participation Research Center: Center for the Advancement of STEM Leadership","funder_award_id":"2309124","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5059089297","display_name":null,"funder_award_id":"W911NF-17-2-0196","funder_id":"https://openalex.org/F4320332447","funder_display_name":"U.S. Army"},{"id":"https://openalex.org/G5688242767","display_name":null,"funder_award_id":"2213636","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6057006769","display_name":null,"funder_award_id":"2211888","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6705038256","display_name":"SCH: INT: Collaborative Research: Enhancing Context-Awareness and Personalization for Intensively Adaptive Smoking Cessation Messaging Interventions","funder_award_id":"1722792","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","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"},{"id":"https://openalex.org/F4320332447","display_name":"U.S. Army","ror":"https://ror.org/00afsp483"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W178691628","https://openalex.org/W244799260","https://openalex.org/W1993368319","https://openalex.org/W1998768472","https://openalex.org/W2004772113","https://openalex.org/W2005888385","https://openalex.org/W2014778858","https://openalex.org/W2022947365","https://openalex.org/W2050497765","https://openalex.org/W2055483942","https://openalex.org/W2108207895","https://openalex.org/W2117076645","https://openalex.org/W2124059098","https://openalex.org/W2126053677","https://openalex.org/W2142936302","https://openalex.org/W2281805729","https://openalex.org/W2292912485","https://openalex.org/W2324013432","https://openalex.org/W2384755216","https://openalex.org/W2409257799","https://openalex.org/W2494218935","https://openalex.org/W2512509828","https://openalex.org/W2582919740","https://openalex.org/W2794488526","https://openalex.org/W2902221567","https://openalex.org/W2907275636","https://openalex.org/W2912745464","https://openalex.org/W2913556077","https://openalex.org/W2914520296","https://openalex.org/W2982912738","https://openalex.org/W3041002261","https://openalex.org/W3124230025","https://openalex.org/W4210990506","https://openalex.org/W4230919960","https://openalex.org/W4241716322","https://openalex.org/W4249402564","https://openalex.org/W4252435323","https://openalex.org/W4307412319","https://openalex.org/W4362496383","https://openalex.org/W4385241467","https://openalex.org/W4388724848","https://openalex.org/W4391244845"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2566526749","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W4312415459","https://openalex.org/W2528680939"],"abstract_inverted_index":{"With":[0,82],"sleep":[1,8,56,66,88,104,109,138,192,195,220,260,273,291],"deprivation":[2],"being":[3,216],"a":[4,103,115,120,159,217,247],"public":[5,91],"health":[6,92],"concern,":[7],"monitoring":[9,67,89,105,221],"technology,":[10],"mainly":[11],"through":[12,200],"consumer-grade":[13],"wearables,":[14],"has":[15],"shown":[16],"value":[17],"among":[18],"users":[19,39,295],"to":[20,35,58,69,76,86,136,151,188,230,240,289],"better":[21],"understand":[22],"their":[23],"most":[24],"fundamental":[25],"measure":[26],"of":[27,38,65,73,173,180,253,259,265,272,286],"health.":[28],"Unfortunately,":[29],"utilizing":[30,277],"wearable":[31,121],"technology":[32],"is":[33,142],"bound":[34],"the":[36,63,96,170,174,190,284],"conditions":[37],"owning":[40],"these":[41],"devices":[42],"and":[43,79,131,165,197,269,296],"using":[44],"them":[45],"at":[46,95],"bedtime":[47],"every":[48],"night.":[49],"While":[50],"wearables":[51],"can":[52],"deliver":[53],"highly":[54],"personalized":[55],"insights":[57],"users,":[59],"they":[60],"inadvertently":[61],"affect":[62],"ability":[64],"solutions":[68],"reach":[70],"unprivileged":[71],"sections":[72],"society":[74],"due":[75],"added":[77],"costs":[78],"device":[80],"accessibility.":[81],"our":[83,140,287],"primary":[84],"motivation":[85],"promote":[87],"for":[90,161,292],"use":[93,127],"cases":[94],"population":[97,153],"scale,":[98],"we":[99,168],"developed":[100],"WiSleep":[101,212],",":[102],"system":[106],"that":[107,126,226],"infers":[108],"duration":[110,193,274],"from":[111,246],"solely":[112],"relying":[113],"on":[114,144],"user\u2019s":[116,191],"smartphone":[117,171],"without":[118,158],"requiring":[119,235],"device.":[122],"Unlike":[123],"prior":[124,231],"efforts":[125],"supervised":[128],"learning":[129],"methods":[130],"require":[132],"labeled":[133,162,238],"training":[134],"data":[135,163,187,239],"train":[137],"models,":[139],"method":[141],"based":[143],"unsupervised":[145,202],"learning,":[146],"which":[147],"enables":[148],"easy":[149],"deployment":[150],"new":[152,156,236],"groups":[154],"or":[155],"regions":[157],"need":[160],"collection":[164],"training.":[166],"Specifically,":[167],"employ":[169],"activity":[172],"user,":[175],"represented":[176],"by":[177,276],"time":[178,196,261,267,279],"series":[179,280],"WiFi":[181],"network":[182],"event":[183],"rates,":[184],"as":[185],"input":[186],"infer":[189],"(i.e.,":[194],"wake":[198,266],"time)":[199],"an":[201,251],"Bayesian":[203],"change":[204],"point":[205],"detection":[206],"ensemble":[207],"model.":[208],"Our":[209],"evaluation":[210,245],"shows":[211],"\u2019s":[213],"efficacy":[214],"in":[215],"low-cost":[218],"accessible":[219],"approach.":[222],"We":[223,282],"present":[224],"results":[225],"yield":[227],"comparable":[228],"performance":[229],"techniques,":[232],"particularly":[233],"those":[234],"users\u2019":[237],"achieve":[241],"model":[242],"personalization.":[243],"System":[244],"user":[248],"study":[249],"achieved":[250],"average":[252],"93.68%":[254],"accuracy":[255],"within":[256],"59":[257],"minutes":[258,264,271],"error,":[262,268],"31":[263],"57":[270],"error":[275],"coarse-grained":[278],"data.":[281],"demonstrate":[283],"application":[285],"technique":[288],"predict":[290],"1,000":[293],"anonymous":[294],"enable":[297],"population-scale":[298],"analytics":[299],"with":[300],"low":[301],"computational":[302],"overhead.":[303]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
