{"id":"https://openalex.org/W4403912739","doi":"https://doi.org/10.1145/3678957.3685722","title":"NapTune: Efficient Model Tuning for Mood Classification using Previous Night's Sleep Measures along with Wearable Time-series","display_name":"NapTune: Efficient Model Tuning for Mood Classification using Previous Night's Sleep Measures along with Wearable Time-series","publication_year":2024,"publication_date":"2024-10-30","ids":{"openalex":"https://openalex.org/W4403912739","doi":"https://doi.org/10.1145/3678957.3685722"},"language":"en","primary_location":{"id":"doi:10.1145/3678957.3685722","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3678957.3685722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Multimodel Interaction","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/A5082912094","display_name":"Debaditya Shome","orcid":"https://orcid.org/0000-0001-9168-0379"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Debaditya Shome","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Queen's University, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9168-0379","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Queen's University, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067996757","display_name":"Nasim Montazeri Ghahjaverestan","orcid":"https://orcid.org/0000-0003-0960-9632"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nasim Montazeri Ghahjaverestan","raw_affiliation_strings":["Smith Engineering, Electrical and Computer Engineering, Queen's University, Canada"],"raw_orcid":"https://orcid.org/0000-0003-0960-9632","affiliations":[{"raw_affiliation_string":"Smith Engineering, Electrical and Computer Engineering, Queen's University, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039812985","display_name":"Ali Etemad","orcid":"https://orcid.org/0000-0001-7128-0220"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Etemad","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Queen's University, Canada"],"raw_orcid":"https://orcid.org/0000-0001-7128-0220","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Queen's University, Canada","institution_ids":["https://openalex.org/I204722609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204722609"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18367843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"204","last_page":"213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9939000010490417,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9939000010490417,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9922000169754028,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9854999780654907,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.7040812373161316},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.639143705368042},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.6328544616699219},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6025285124778748},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5638578534126282},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5328232645988464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33536022901535034},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3020883798599243},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.246200293302536},{"id":"https://openalex.org/keywords/clinical-psychology","display_name":"Clinical psychology","score":0.07605499029159546},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.06185474991798401}],"concepts":[{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.7040812373161316},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.639143705368042},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.6328544616699219},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6025285124778748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5638578534126282},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5328232645988464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33536022901535034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3020883798599243},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.246200293302536},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.07605499029159546},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.06185474991798401},{"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},{"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:10.1145/3678957.3685722","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3678957.3685722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Multimodel Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1495579528","https://openalex.org/W1908662665","https://openalex.org/W2010615027","https://openalex.org/W2026891775","https://openalex.org/W2043566108","https://openalex.org/W2103051861","https://openalex.org/W2109626108","https://openalex.org/W2117645142","https://openalex.org/W2127777861","https://openalex.org/W2162273778","https://openalex.org/W2170490588","https://openalex.org/W2194775991","https://openalex.org/W2294872453","https://openalex.org/W2338224285","https://openalex.org/W2396881363","https://openalex.org/W2518578658","https://openalex.org/W2519559781","https://openalex.org/W2552408385","https://openalex.org/W2593831809","https://openalex.org/W2599825799","https://openalex.org/W2731964405","https://openalex.org/W2779582454","https://openalex.org/W2807197753","https://openalex.org/W2894771803","https://openalex.org/W2917094047","https://openalex.org/W2955516080","https://openalex.org/W2962182608","https://openalex.org/W2968915073","https://openalex.org/W2974457857","https://openalex.org/W2990064692","https://openalex.org/W2996849360","https://openalex.org/W3001197829","https://openalex.org/W3042216344","https://openalex.org/W3081360282","https://openalex.org/W3127637041","https://openalex.org/W3184236853","https://openalex.org/W3195146636","https://openalex.org/W3205744895","https://openalex.org/W3217581415","https://openalex.org/W4200117963","https://openalex.org/W4205991051","https://openalex.org/W4224287408","https://openalex.org/W4249402564","https://openalex.org/W4290932408","https://openalex.org/W4312651322","https://openalex.org/W4319340077","https://openalex.org/W4365601120","https://openalex.org/W4382600791","https://openalex.org/W4389664922","https://openalex.org/W4389832553","https://openalex.org/W4390176441"],"related_works":["https://openalex.org/W2294565841","https://openalex.org/W1919101720","https://openalex.org/W3204276839","https://openalex.org/W4229671472","https://openalex.org/W2513792068","https://openalex.org/W2519522639","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Sleep":[0],"is":[1],"known":[2],"to":[3,50,64],"be":[4],"a":[5,39,51],"key":[6],"factor":[7],"in":[8],"emotional":[9],"regulation":[10],"and":[11,59,95,112],"overall":[12],"mental":[13],"health.":[14],"In":[15],"this":[16,34],"study,":[17],"we":[18,36,72,116],"explore":[19],"the":[20,26,75,109,118,131],"integration":[21],"of":[22,77,120,133],"sleep":[23,78],"measures":[24,46,123],"from":[25],"previous":[27],"night":[28],"into":[29],"wearable-based":[30],"mood":[31,85],"recognition.":[32],"To":[33],"end,":[35],"propose":[37],"NapTune,":[38],"novel":[40],"prompt-tuning":[41],"framework":[42],"that":[43,74],"utilizes":[44],"sleep-related":[45,122,135],"as":[47,128,130],"additional":[48],"inputs":[49],"frozen":[52],"pre-trained":[53],"wearable":[54,90],"time-series":[55,91],"encoder":[56],"by":[57],"adding":[58,121],"training":[60],"lightweight":[61],"prompt":[62],"parameters":[63],"each":[65],"Transformer":[66],"layer.":[67],"Through":[68],"rigorous":[69],"empirical":[70],"evaluation,":[71],"demonstrate":[73],"inclusion":[76],"data":[79],"using":[80],"NapTune":[81],"not":[82],"only":[83],"improves":[84],"recognition":[86],"performance":[87],"across":[88],"different":[89,126],"namely":[92],"ECG,":[93],"PPG,":[94],"EDA,":[96],"but":[97],"also":[98],"makes":[99],"it":[100],"more":[101],"sample-efficient.":[102],"Our":[103],"method":[104],"demonstrates":[105],"significant":[106],"improvements":[107],"over":[108],"best":[110],"baselines":[111],"unimodal":[113],"variants.":[114],"Furthermore,":[115],"analyze":[117],"impact":[119],"on":[124],"recognizing":[125],"moods":[127],"well":[129],"influence":[132],"individual":[134],"measures.":[136]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
