{"id":"https://openalex.org/W4416549390","doi":"https://doi.org/10.1145/3719027.3760717","title":"Poster: PainNOVA: Privacy-Aware Voice-Based Pain-Level Detection","display_name":"Poster: PainNOVA: Privacy-Aware Voice-Based Pain-Level Detection","publication_year":2025,"publication_date":"2025-11-19","ids":{"openalex":"https://openalex.org/W4416549390","doi":"https://doi.org/10.1145/3719027.3760717"},"language":null,"primary_location":{"id":"doi:10.1145/3719027.3760717","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3719027.3760717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100024036","display_name":"Andrew Lu","orcid":"https://orcid.org/0009-0004-0578-629X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew Lu","raw_affiliation_strings":["Oyster River High School, Durham, NH, USA"],"raw_orcid":"https://orcid.org/0009-0004-0578-629X","affiliations":[{"raw_affiliation_string":"Oyster River High School, Durham, NH, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006684284","display_name":"Mashrafi Kajol","orcid":"https://orcid.org/0000-0001-6791-1675"},"institutions":[{"id":"https://openalex.org/I161057412","display_name":"University of New Hampshire","ror":"https://ror.org/01rmh9n78","country_code":"US","type":"education","lineage":["https://openalex.org/I161057412"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mashrafi Kajol","raw_affiliation_strings":["University of New Hampshire, Durham, NH, USA"],"raw_orcid":"https://orcid.org/0000-0001-6791-1675","affiliations":[{"raw_affiliation_string":"University of New Hampshire, Durham, NH, USA","institution_ids":["https://openalex.org/I161057412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039346080","display_name":"Wei Lu","orcid":"https://orcid.org/0000-0002-4150-8674"},"institutions":[{"id":"https://openalex.org/I150638750","display_name":"Keene State College","ror":"https://ror.org/04c1gbz02","country_code":"US","type":"education","lineage":["https://openalex.org/I150638750"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Lu","raw_affiliation_strings":["Keene State College, Keene, NH, USA"],"raw_orcid":"https://orcid.org/0000-0002-4150-8674","affiliations":[{"raw_affiliation_string":"Keene State College, Keene, NH, USA","institution_ids":["https://openalex.org/I150638750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069563170","display_name":"Dean Sullivan","orcid":"https://orcid.org/0000-0002-7186-4346"},"institutions":[{"id":"https://openalex.org/I161057412","display_name":"University of New Hampshire","ror":"https://ror.org/01rmh9n78","country_code":"US","type":"education","lineage":["https://openalex.org/I161057412"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dean Sullivan","raw_affiliation_strings":["University of New Hampshire, Durham, NH, USA"],"raw_orcid":"https://orcid.org/0000-0002-7186-4346","affiliations":[{"raw_affiliation_string":"University of New Hampshire, Durham, NH, USA","institution_ids":["https://openalex.org/I161057412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33561208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4761","last_page":"4763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.7099999785423279,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.7099999785423279,"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/T12488","display_name":"Mental Health via Writing","score":0.0763000026345253,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T10576","display_name":"Opioid Use Disorder Treatment","score":0.030400000512599945,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.6080999970436096},{"id":"https://openalex.org/keywords/nonverbal-communication","display_name":"Nonverbal communication","score":0.5396000146865845},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4894999861717224},{"id":"https://openalex.org/keywords/voice-analysis","display_name":"Voice analysis","score":0.37549999356269836},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.37130001187324524}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.6080999970436096},{"id":"https://openalex.org/C145633318","wikidata":"https://www.wikidata.org/wiki/Q207125","display_name":"Nonverbal communication","level":2,"score":0.5396000146865845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5024999976158142},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4894999861717224},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42160001397132874},{"id":"https://openalex.org/C182964821","wikidata":"https://www.wikidata.org/wiki/Q7939498","display_name":"Voice analysis","level":2,"score":0.37549999356269836},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.37130001187324524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3666999936103821},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3418999910354614},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.2782000005245209}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3719027.3760717","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3719027.3760717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security","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":4,"referenced_works":["https://openalex.org/W2156567596","https://openalex.org/W2799041689","https://openalex.org/W4379600421","https://openalex.org/W4414197362"],"related_works":[],"abstract_inverted_index":{"Pain-level":[0],"detection":[1,15,63],"is":[2],"vital":[3],"to":[4,19,44,87,127,149],"determine":[5],"proper":[6],"medical":[7],"treatment.":[8],"Existing":[9],"self-reporting,":[10],"behavioral,":[11],"and":[12,25,28,49,80,95,110,137,140,152],"image-based":[13],"pain":[14,90,156],"methods":[16],"typically":[17],"lead":[18],"high":[20,32],"costs":[21],"for":[22,118,155],"professional":[23],"staff":[24],"clinical":[26],"equipment":[27],"also":[29],"have":[30],"a":[31,59,82,99,128],"risk":[33],"of":[34,135],"leaking":[35],"sensitive":[36],"information,":[37],"which":[38,65],"could":[39],"be":[40],"exploited":[41],"by":[42],"adversaries":[43],"learn":[45],"gender,":[46],"age":[47],"group,":[48],"underlying":[50],"health":[51],"conditions.":[52],"To":[53],"address":[54],"these":[55],"challenges,":[56],"we":[57],"propose":[58],"privacy-aware":[60],"voice-based":[61],"pain-level":[62,120],"framework,":[64],"extracts":[66],"frequency-domain":[67],"characteristics":[68],"from":[69,76],"audio":[70],"files,":[71],"removes":[72],"the":[73,77,143],"gender-sensitive":[74],"features":[75,117,146],"identified":[78,144],"characteristics,":[79],"trains":[81],"convolutional":[83],"neural":[84],"network":[85],"(CNN)":[86],"perform":[88],"3-level":[89],"classification.":[91,121,157],"Our":[92],"preliminary":[93],"analysis":[94],"experiments":[96],"based":[97],"on":[98],"commonly":[100],"adopted":[101],"database":[102],"(TAME":[103],"Pain":[104],"dataset)":[105],"indicate":[106],"that":[107,142],"log-Mel":[108],"spectrogram":[109],"zero-crossing":[111],"rate":[112],"are":[113,147],"two":[114],"promising":[115],"voice":[116,145],"effective":[119],"We":[122],"further":[123],"extend":[124],"our":[125],"study":[126],"nonverbal":[129,153],"dataset,":[130],"VIVAE":[131],"(Variably":[132],"Intense":[133],"Vocalizations":[134],"Affect":[136],"Emotion":[138],"Corpus),":[139],"confirm":[141],"applicable":[148],"both":[150],"verbal":[151],"patients":[154]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-23T00:00:00"}
