{"id":"https://openalex.org/W4415821884","doi":"https://doi.org/10.1109/ro-man63969.2025.11217600","title":"Multimodal Transfer Learning for Privacy in Human Activity Recognition","display_name":"Multimodal Transfer Learning for Privacy in Human Activity Recognition","publication_year":2025,"publication_date":"2025-08-25","ids":{"openalex":"https://openalex.org/W4415821884","doi":"https://doi.org/10.1109/ro-man63969.2025.11217600"},"language":null,"primary_location":{"id":"doi:10.1109/ro-man63969.2025.11217600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man63969.2025.11217600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","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/A5072452636","display_name":"Sigmund Rolfsjord","orcid":"https://orcid.org/0009-0004-6118-8593"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Sigmund Rolfsjord","raw_affiliation_strings":["University of Oslo,Department of Technology Systems,Oslo,Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oslo,Department of Technology Systems,Oslo,Norway","institution_ids":["https://openalex.org/I184942183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047101294","display_name":"Safia Fatima","orcid":"https://orcid.org/0000-0002-4550-9279"},"institutions":[{"id":"https://openalex.org/I2799829267","display_name":"Simula Research Laboratory","ror":"https://ror.org/00vn06n10","country_code":"NO","type":"facility","lineage":["https://openalex.org/I2799829267"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Safia Fatima","raw_affiliation_strings":["Simula Research Laboratory,Department of Data-Driven Software Engineering,Oslo,Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simula Research Laboratory,Department of Data-Driven Software Engineering,Oslo,Norway","institution_ids":["https://openalex.org/I2799829267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115831670","display_name":"Hugh Alexander von Arnim","orcid":null},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Hugh Alexander von Arnim","raw_affiliation_strings":["University of Oslo,RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion,Oslo,Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oslo,RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion,Oslo,Norway","institution_ids":["https://openalex.org/I184942183"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071020268","display_name":"Adel Baselizadeh","orcid":"https://orcid.org/0009-0005-7561-8889"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Adel Baselizadeh","raw_affiliation_strings":["University of Oslo,RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion,Oslo,Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oslo,RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion,Oslo,Norway","institution_ids":["https://openalex.org/I184942183"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.27933932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.5027999877929688,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.5027999877929688,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.24310000240802765,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.03519999980926514,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/generalizability-theory","display_name":"Generalizability theory","score":0.8457000255584717},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.7239000201225281},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6898999810218811},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6578999757766724},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5239999890327454},{"id":"https://openalex.org/keywords/multimodal-learning","display_name":"Multimodal learning","score":0.4778999984264374},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.4569999873638153},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4449999928474426}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.8457000255584717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7638999819755554},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.7239000201225281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6962000131607056},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6898999810218811},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6578999757766724},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5239999890327454},{"id":"https://openalex.org/C2780660688","wikidata":"https://www.wikidata.org/wiki/Q25052564","display_name":"Multimodal learning","level":2,"score":0.4778999984264374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4763999879360199},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.4569999873638153},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4449999928474426},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35850000381469727},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.33239999413490295},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.27320000529289246},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2685000002384186},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26019999384880066}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ro-man63969.2025.11217600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man63969.2025.11217600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1539811621","https://openalex.org/W2037265949","https://openalex.org/W2108598243","https://openalex.org/W2122838776","https://openalex.org/W2122922389","https://openalex.org/W2143104527","https://openalex.org/W2165698076","https://openalex.org/W2180635266","https://openalex.org/W2296311849","https://openalex.org/W2944006115","https://openalex.org/W2963155035","https://openalex.org/W3037210821","https://openalex.org/W3154985639","https://openalex.org/W4206121294","https://openalex.org/W4282981352","https://openalex.org/W4289517877","https://openalex.org/W4296872790","https://openalex.org/W4376128949","https://openalex.org/W4376132550","https://openalex.org/W4386071707","https://openalex.org/W4387123871","https://openalex.org/W4392657667","https://openalex.org/W4393257980","https://openalex.org/W4403919645"],"related_works":[],"abstract_inverted_index":{"Human":[0],"Activity":[1],"Recognition":[2],"(HAR)":[3],"models":[4],"often":[5],"rely":[6,18],"on":[7,19,86,105,109],"small,":[8],"specialized":[9],"datasets,":[10,89],"limiting":[11],"their":[12,24],"generalizability.":[13],"In":[14,44],"addition,":[15],"many":[16],"systems":[17],"privacy-invasive":[20],"RGB":[21,76,138,148,162],"video":[22,77],"as":[23,51],"primary":[25],"sensing":[26],"modality.":[27],"This":[28],"choice":[29],"raises":[30],"ethical":[31],"concerns,":[32],"especially":[33],"in":[34,78],"health-":[35],"and":[36,61,96,141,166],"home-care":[37],"robotics,":[38],"where":[39],"patient":[40],"privacy":[41,170],"is":[42],"paramount.":[43],"this":[45],"study,":[46],"we":[47,118],"evaluate":[48],"transfer":[49],"learning":[50,80],"a":[52,73,83,100,172],"method":[53],"to":[54,99],"improve":[55],"HAR":[56,88,126],"generalizability":[57],"across":[58,114],"RGB,":[59],"IMU,":[60],"depth":[62,167],"imaging":[63],"modalities":[64,69],"while":[65,164],"assessing":[66],"how":[67],"privacy-preserving":[68],"can":[70],"compensate":[71],"for":[72,93,133,143],"lack":[74],"of":[75,116,131],"multimodal":[79,102],"contexts.We":[81],"train":[82],"feature-fusion":[84],"model":[85,103,123,136,146,156],"aggregated":[87],"leveraging":[90],"pretrained":[91,104],"backbones":[92],"each":[94],"modality,":[95],"compare":[97],"it":[98],"general":[101,122,135,155],"non-HAR":[106],"datasets.":[107],"Evaluating":[108],"the":[110,121,125,134,144,154],"PriMA-Care":[111],"privacy-focused":[112],"dataset":[113],"combinations":[115],"modalities,":[117],"find":[119],"that":[120,153],"outperforms":[124],"model,":[127],"with":[128,137,147,171],"best":[129],"accuracies":[130],"98.29%":[132],"+":[139,149],"IMU":[140,165],"94.97%":[142],"HAR-specific":[145],"depth.":[150],"Analysis":[151],"shows":[152],"more":[157],"readily":[158],"identifies":[159],"individuals":[160],"from":[161],"input,":[163],"better":[168],"preserve":[169],"small":[173],"accuracy":[174],"loss":[175],"(5%).":[176]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-03T00:00:00"}