{"id":"https://openalex.org/W7117477575","doi":"https://doi.org/10.1145/3714394.3756208","title":"IMU2IMG: IMU in the Language of Vision Foundation Models","display_name":"IMU2IMG: IMU in the Language of Vision Foundation Models","publication_year":2025,"publication_date":"2025-10-12","ids":{"openalex":"https://openalex.org/W7117477575","doi":"https://doi.org/10.1145/3714394.3756208"},"language":null,"primary_location":{"id":"doi:10.1145/3714394.3756208","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3714394.3756208","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3714394.3756208?download=true","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3714394.3756208?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121512672","display_name":"Sun Kyung Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sun Kyung Lee","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-6566-8509","affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121447292","display_name":"Se Won Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Se Won Oh","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-3078-7866","affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068424810","display_name":"Gyuwon Jung","orcid":"https://orcid.org/0000-0001-5367-2386"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gyuwon Jung","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-5367-2386","affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121508739","display_name":"Hyuntae Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyuntae Jeong","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-4339-1673","affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121459579","display_name":"Seungeun Chung","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungeun Chung","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-9815-3985","affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jeong Mook Lim","orcid":"https://orcid.org/0000-0002-5535-0417"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeong Mook Lim","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-5535-0417","affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089957470","display_name":"Kyoung Ju Noh","orcid":"https://orcid.org/0000-0001-8492-8612"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyoung Ju Noh","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-8492-8612","affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58226461,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"999","last_page":"1004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.47839999198913574,"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":0.47839999198913574,"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":0.24500000476837158,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.06909999996423721,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.6488000154495239},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.5889999866485596},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5001999735832214},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.47360000014305115},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4625999927520752},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43970000743865967},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4253000020980835}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6550999879837036},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6488000154495239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6223000288009644},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.5889999866485596},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5001999735832214},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.47360000014305115},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4625999927520752},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43970000743865967},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4253000020980835},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4172999858856201},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39259999990463257},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3012999892234802},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2639000117778778},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.257099986076355}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3714394.3756208","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3714394.3756208","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3714394.3756208?download=true","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3714394.3756208","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3714394.3756208","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3714394.3756208?download=true","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3353982156","display_name":null,"funder_award_id":"25ZB1100","funder_id":"https://openalex.org/F4320322093","funder_display_name":"Electronics and Telecommunications Research Institute"}],"funders":[{"id":"https://openalex.org/F4320322093","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7117477575.pdf","grobid_xml":"https://content.openalex.org/works/W7117477575.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2295598076","https://openalex.org/W2883766876","https://openalex.org/W2907123474","https://openalex.org/W3084911924","https://openalex.org/W3084913306","https://openalex.org/W3200144996","https://openalex.org/W4366773141","https://openalex.org/W4387421291","https://openalex.org/W4387421349","https://openalex.org/W4393177791","https://openalex.org/W4402721982","https://openalex.org/W4402722024"],"related_works":[],"abstract_inverted_index":{"Motivated":[0],"by":[1],"the":[2,23,48],"growing":[3],"interest":[4],"in":[5,22],"foundation":[6,49,70,107],"models":[7],"across":[8],"domains":[9],"such":[10],"as":[11],"vision":[12,69],"and":[13,90,105,115,125],"language,":[14],"this":[15],"study":[16],"aims":[17],"to":[18,35],"explore":[19],"their":[20],"potential":[21],"field":[24],"of":[25,38],"human":[26,127],"locomotion":[27],"recognition":[28,42,54],"using":[29],"wearable":[30],"sensor":[31,88],"data.":[32],"In":[33],"response":[34],"Task":[36],"1":[37],"Sussex-Huawei":[39],"Locomotion-Transportation":[40],"(SHL)":[41],"challenge":[43],"2025,":[44],"which":[45],"focuses":[46],"on":[47,118],"model":[50,71],"based":[51],"user-independent":[52],"activity":[53,128],"with":[55,99],"inertial":[56,79],"signals,":[57],"our":[58,75],"team":[59],"'HELP'":[60],"proposes":[61],"IMU2IMG,":[62],"an":[63],"algorithmic":[64],"pipeline":[65],"that":[66],"leverages":[67],"a":[68],"for":[72],"prediction.":[73],"Specifically,":[74],"method":[76],"transforms":[77],"multimodal":[78],"data":[80],"into":[81],"RGB":[82],"images,":[83],"enabling":[84],"explicit":[85],"alignment":[86],"between":[87],"representations":[89],"visual":[91],"tokens.":[92],"Through":[93],"extensive":[94],"experiments,":[95],"we":[96],"compare":[97],"IMU2IMG":[98],"conventional":[100],"machine":[101],"learning,":[102,104],"deep":[103],"recent":[106],"model-based":[108],"baselines.":[109],"Our":[110],"results":[111],"demonstrate":[112],"superior":[113],"performance":[114],"offer":[116],"insights":[117],"how":[119],"sensor-to-vision":[120],"mappings":[121],"can":[122],"support":[123],"robust":[124],"interpretable":[126],"recognition.":[129]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-29T00:00:00"}