{"id":"https://openalex.org/W4406459632","doi":"https://doi.org/10.1109/bigdata62323.2024.10826016","title":"A Confidence-Based Power-Efficient Framework for Sleep Stage Classification on Consumer Wearables","display_name":"A Confidence-Based Power-Efficient Framework for Sleep Stage Classification on Consumer Wearables","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406459632","doi":"https://doi.org/10.1109/bigdata62323.2024.10826016"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10826016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10826016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5112366884","display_name":"H.Y. Lai","orcid":null},"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":true,"raw_author_name":"Hsu-Chao Lai","raw_affiliation_strings":["National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076410713","display_name":"Po-Hsiang Fang","orcid":null},"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":"Po-Hsiang Fang","raw_affiliation_strings":["National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102350605","display_name":"Yi-Ting Wu","orcid":null},"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":"Yi-Ting Wu","raw_affiliation_strings":["National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110563534","display_name":"Lo Pang-Yun Ting","orcid":null},"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":"Lo Pang-Yun Ting","raw_affiliation_strings":["National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034198742","display_name":"Kun-Ta Chuang","orcid":"https://orcid.org/0000-0002-3914-8550"},"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":"Kun-Ta Chuang","raw_affiliation_strings":["National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112366884"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31691617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1804","last_page":"1813"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9918000102043152,"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"}},"topics":[{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9918000102043152,"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"}},{"id":"https://openalex.org/T10985","display_name":"Sleep and Wakefulness Research","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10316","display_name":"Sleep and related disorders","score":0.9684000015258789,"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/computer-science","display_name":"Computer science","score":0.6655045747756958},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6565262079238892},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.592028021812439},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.45012378692626953},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.44775786995887756},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4382432699203491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3697463274002075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3291528820991516},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.18031194806098938},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.05758175253868103}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6655045747756958},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6565262079238892},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.592028021812439},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.45012378692626953},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.44775786995887756},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4382432699203491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3697463274002075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3291528820991516},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.18031194806098938},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.05758175253868103},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10826016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10826016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.5600000023841858}],"awards":[],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2036537336","https://openalex.org/W2151487996","https://openalex.org/W2163225965","https://openalex.org/W2507645382","https://openalex.org/W2604096629","https://openalex.org/W2792479193","https://openalex.org/W2805075551","https://openalex.org/W2884525847","https://openalex.org/W2899663614","https://openalex.org/W2937191485","https://openalex.org/W2963691377","https://openalex.org/W3172805970","https://openalex.org/W3195197599","https://openalex.org/W3198451926","https://openalex.org/W3199058737","https://openalex.org/W4205160358","https://openalex.org/W4283823720","https://openalex.org/W4308505365","https://openalex.org/W4313452360","https://openalex.org/W4364302677","https://openalex.org/W4377089398","https://openalex.org/W4379534233","https://openalex.org/W4379598831","https://openalex.org/W4385349108","https://openalex.org/W4385557802","https://openalex.org/W4388861770","https://openalex.org/W4389120382","https://openalex.org/W6753561191","https://openalex.org/W6755977528","https://openalex.org/W6845952086","https://openalex.org/W6903601060"],"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":{"Consumer":[0],"wearable":[1],"devices":[2],"like":[3],"smartwatches":[4],"enable":[5],"real-time":[6],"tracking":[7],"of":[8,140,192],"vital":[9],"signs":[10],"with":[11,161,194],"various":[12],"sensors.":[13],"Accordingly,":[14],"experts":[15],"may":[16],"leverage":[17],"smart":[18],"home":[19],"techniques":[20],"for":[21,93,100],"treating":[22],"sleep":[23,28,38,164,182],"disorders":[24],"by":[25,50,79,185],"targeting":[26],"specific":[27],"stages.":[29],"To":[30,74],"facilitate":[31],"this":[32,34],"scenario,":[33],"paper":[35],"focuses":[36],"on":[37,42,170],"stage":[39,165,183],"classification":[40,72],"based":[41],"body":[43],"movement":[44],"and":[45,71,96,145,150,155,180],"heart":[46],"rate":[47],"signals":[48],"detected":[49],"wearables":[51],"in":[52,190,210],"real":[53,172],"time.":[54],"Due":[55],"to":[56,64,109,117,201,208,213],"their":[57],"limited":[58],"battery":[59],"capacity,":[60],"it":[61],"is":[62],"crucial":[63],"balance":[65],"the":[66,76,119,127,130],"trade-off":[67],"between":[68],"power":[69,133],"efficiency":[70],"accuracy.":[73],"address":[75],"problem,":[77],"inspired":[78],"multi-tasking,":[80],"we":[81],"propose":[82],"COPS,":[83],"an":[84,105,202],"innovative":[85],"framework":[86],"that":[87,114,175],"includes":[88],"a":[89,97,111],"power-efficient":[90],"shallow":[91,120,128],"classifier":[92,99],"simple":[94],"cases":[95],"deep":[98,122,163,181,204],"complex":[101],"instances.":[102],"COPS":[103,154,176],"introduces":[104],"intelligent":[106],"switch,":[107],"CESwitch,":[108,141],"determine":[110],"confidence":[112],"score":[113],"directs":[115],"input":[116],"either":[118],"or":[121],"classifier.":[123],"By":[124],"selectively":[125],"activating":[126],"classifier,":[129],"overall":[131],"expected":[132],"consumption":[134],"could":[135],"be":[136,158],"lower.":[137],"Two":[138],"strategies":[139],"namely":[142],"Confidence":[143],"Delegation":[144],"Agreement":[146],"Verification,":[147],"are":[148],"proposed":[149],"examined.":[151],"Notably,":[152],"both":[153],"CESwitch":[156],"can":[157],"seamlessly":[159],"integrated":[160],"existing":[162,203],"classifiers.":[166],"Comprehensive":[167],"experimental":[168],"results":[169],"two":[171],"datasets":[173],"manifest":[174],"outperforms":[177],"state-of-the-art":[178],"lightweight":[179],"classifiers":[184],"reducing":[186],"77.8%":[187],"computational":[188],"cost":[189],"terms":[191],"FLOPs":[193,211],"only":[195],"1.9%":[196],"accuracy":[197],"drop.":[198],"Moreover,":[199],"adapting":[200],"model":[205],"saves":[206],"up":[207],"32.7%":[209],"compared":[212],"its":[214],"original":[215],"architecture.":[216]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
