{"id":"https://openalex.org/W4411447019","doi":"https://doi.org/10.1109/percomworkshops65533.2025.00151","title":"Representation Learning Enables Uncovering Psychophysiological States from Wearable Data","display_name":"Representation Learning Enables Uncovering Psychophysiological States from Wearable Data","publication_year":2025,"publication_date":"2025-03-17","ids":{"openalex":"https://openalex.org/W4411447019","doi":"https://doi.org/10.1109/percomworkshops65533.2025.00151"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops65533.2025.00151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops65533.2025.00151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","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/A5078455192","display_name":"Dominika Kunc","orcid":"https://orcid.org/0000-0003-2918-0423"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Dominika Kunc","raw_affiliation_strings":["Wroc&#x0142;aw University of Science and Technology,Department of Artificial Intelligence,Wroc&#x0142;aw,Poland"],"affiliations":[{"raw_affiliation_string":"Wroc&#x0142;aw University of Science and Technology,Department of Artificial Intelligence,Wroc&#x0142;aw,Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106026061","display_name":"Stanis\u0142aw Saganowski","orcid":"https://orcid.org/0000-0003-3607-5920"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Stanis\u0142aw Saganowski","raw_affiliation_strings":["Wroc&#x0142;aw University of Science and Technology,Department of Artificial Intelligence,Wroc&#x0142;aw,Poland"],"affiliations":[{"raw_affiliation_string":"Wroc&#x0142;aw University of Science and Technology,Department of Artificial Intelligence,Wroc&#x0142;aw,Poland","institution_ids":["https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078455192"],"corresponding_institution_ids":["https://openalex.org/I686019"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17325328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"637","last_page":"640"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9878000020980835,"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/T13283","display_name":"Mental Health Research Topics","score":0.9878000020980835,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9876999855041504,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9769999980926514,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7296237945556641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6901466846466064},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5608347654342651},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5461657047271729},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5315487384796143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3789294362068176},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.07795414328575134}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7296237945556641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901466846466064},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5608347654342651},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5461657047271729},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5315487384796143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3789294362068176},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.07795414328575134},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomworkshops65533.2025.00151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops65533.2025.00151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.41999998688697815}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2187089797","https://openalex.org/W2754966749","https://openalex.org/W2786672974","https://openalex.org/W2792548157","https://openalex.org/W2894771803","https://openalex.org/W2905559137","https://openalex.org/W3045388177","https://openalex.org/W3127637041","https://openalex.org/W4321633275","https://openalex.org/W4390905885","https://openalex.org/W4395029695","https://openalex.org/W4400072470","https://openalex.org/W4409761646","https://openalex.org/W6748816842"],"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/W2012157391","https://openalex.org/W2585232498","https://openalex.org/W2562087406","https://openalex.org/W3047461507","https://openalex.org/W3126390843"],"abstract_inverted_index":{"Human":[0],"physiology":[1],"contains":[2],"valuable":[3],"information":[4,17],"about":[5],"an":[6,59],"individual\u2019s":[7],"mental":[8],"and":[9,14,45,98,119,128,137],"physical":[10],"states,":[11],"but":[12],"extracting":[13],"interpreting":[15],"this":[16,22],"poses":[18],"significant":[19],"challenges.":[20],"In":[21],"study,":[23],"we":[24,57],"present":[25],"a":[26,46,82],"preliminary":[27],"approach":[28,110],"that":[29,100],"leverages":[30],"representation":[31,61],"learning":[32,43],"to":[33,103],"uncover":[34],"meaningful":[35,83],"insights":[36],"from":[37,55],"physiological":[38,115],"data.":[39],"Using":[40],"the":[41,108],"self-supervised":[42],"technique":[44],"large":[47],"amount":[48],"of":[49,68,114],"unlabeled":[50],"raw":[51,69],"electrocardiogram":[52],"(ECG)":[53],"recordings":[54],"wearables,":[56],"developed":[58],"ECG":[60,70],"model.":[62],"This":[63],"model":[64],"generates":[65],"high-dimensional":[66],"embeddings":[67,95],"samples,":[71],"which":[72],"can":[73],"be":[74],"employed":[75],"for":[76],"downstream":[77],"tasks":[78],"or":[79,133],"visualized":[80],"in":[81,125],"2D":[84],"space":[85],"using":[86],"dimensionality":[87],"reduction":[88],"techniques":[89],"such":[90],"as":[91],"T-SNE.":[92],"The":[93],"resulting":[94],"reveal":[96],"patterns":[97],"clusters":[99],"may":[101],"correspond":[102],"recurring":[104],"psychophysiological":[105],"states.":[106],"Furthermore,":[107],"proposed":[109],"facilitates":[111],"direct":[112],"comparison":[113],"data":[116],"both":[117],"within":[118],"across":[120],"individuals,":[121],"offering":[122],"potential":[123],"applications":[124],"addressing":[126],"mental-":[127],"health-related":[129],"challenges,":[130],"including":[131],"panic":[132],"anxiety":[134],"attacks,":[135],"depression,":[136],"neurodegenerative":[138],"diseases.":[139]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
