{"id":"https://openalex.org/W4403334197","doi":"https://doi.org/10.1145/3654777.3676461","title":"MobilePoser: Real-Time Full-Body Pose Estimation and 3D Human Translation from IMUs in Mobile Consumer Devices","display_name":"MobilePoser: Real-Time Full-Body Pose Estimation and 3D Human Translation from IMUs in Mobile Consumer Devices","publication_year":2024,"publication_date":"2024-10-11","ids":{"openalex":"https://openalex.org/W4403334197","doi":"https://doi.org/10.1145/3654777.3676461"},"language":"en","primary_location":{"id":"doi:10.1145/3654777.3676461","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3654777.3676461","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3654777.3676461","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027454121","display_name":"Vasco Xu","orcid":"https://orcid.org/0000-0003-3990-582X"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vasco Xu","raw_affiliation_strings":["University of Chicago, United States"],"affiliations":[{"raw_affiliation_string":"University of Chicago, United States","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078227948","display_name":"Chenfeng Gao","orcid":"https://orcid.org/0000-0002-0601-2921"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenfeng Gao","raw_affiliation_strings":["University of Chicago, United States"],"affiliations":[{"raw_affiliation_string":"University of Chicago, United States","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080833704","display_name":"Henry Hoffmann","orcid":"https://orcid.org/0000-0003-0816-8150"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henry Hoffmann","raw_affiliation_strings":["University of Chicago, United States"],"affiliations":[{"raw_affiliation_string":"University of Chicago, United States","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010929285","display_name":"Karan Ahuja","orcid":"https://orcid.org/0000-0003-2497-0530"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karan Ahuja","raw_affiliation_strings":["Northwestern University, United States"],"affiliations":[{"raw_affiliation_string":"Northwestern University, United States","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027454121"],"corresponding_institution_ids":["https://openalex.org/I40347166"],"apc_list":null,"apc_paid":null,"fwci":6.8052,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97809212,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T12290","display_name":"Human Motion and Animation","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7316596508026123},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6369818449020386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.633488655090332},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45712679624557495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44616031646728516}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7316596508026123},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6369818449020386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633488655090332},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45712679624557495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44616031646728516},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3654777.3676461","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3654777.3676461","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2504.12492","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.12492","pdf_url":"https://arxiv.org/pdf/2504.12492","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3654777.3676461","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3654777.3676461","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W618254468","https://openalex.org/W1967554269","https://openalex.org/W1994281102","https://openalex.org/W2004447433","https://openalex.org/W2088603369","https://openalex.org/W2099800354","https://openalex.org/W2124773381","https://openalex.org/W2483862638","https://openalex.org/W2562512504","https://openalex.org/W2754534665","https://openalex.org/W2783038762","https://openalex.org/W2796076588","https://openalex.org/W2799062425","https://openalex.org/W2898073175","https://openalex.org/W2903294927","https://openalex.org/W2962994355","https://openalex.org/W2971856312","https://openalex.org/W3093964127","https://openalex.org/W3154181057","https://openalex.org/W3160273689","https://openalex.org/W3162461888","https://openalex.org/W4225103618","https://openalex.org/W4225609743","https://openalex.org/W4297168084","https://openalex.org/W4307472574","https://openalex.org/W4307475882","https://openalex.org/W4312662707","https://openalex.org/W4366581013","https://openalex.org/W4380364521","https://openalex.org/W4386071628","https://openalex.org/W4387086782","https://openalex.org/W4387453393","https://openalex.org/W4387801107","https://openalex.org/W4390874306","https://openalex.org/W4396833076","https://openalex.org/W4400573498"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"There":[0],"has":[1],"been":[2],"a":[3,73,97,108,121,134,149],"continued":[4],"trend":[5],"towards":[6,36],"minimizing":[7],"instrumentation":[8],"for":[9,76,102],"full-body":[10,77],"motion":[11,110],"capture,":[12],"going":[13],"from":[14],"specialized":[15],"rooms":[16],"and":[17,24,46,56,65,79,141,144],"equipment,":[18],"to":[19,62,126,147],"arrays":[20],"of":[21,58,87,123,131,136],"worn":[22],"sensors":[23],"recently":[25],"sparse":[26],"inertial":[27],"pose":[28,78,104],"capture":[29],"methods.":[30],"However,":[31],"as":[32,139],"these":[33,68,92],"techniques":[34],"migrate":[35],"lower-fidelity":[37],"IMUs":[38,88],"on":[39],"ubiquitous":[40],"commodity":[41],"devices,":[42],"like":[43],"phones,":[44],"watches,":[45],"earbuds,":[47],"challenges":[48],"arise":[49],"including":[50],"compromised":[51],"online":[52],"performance,":[53],"temporal":[54],"consistency,":[55],"loss":[57],"global":[59,80],"translation":[60,81],"due":[61],"sensor":[63],"noise":[64],"drift.":[66],"Addressing":[67],"challenges,":[69],"we":[70],"introduce":[71],"MobilePoser,":[72],"real-time":[74],"system":[75],"estimation":[82,105],"using":[83],"any":[84],"available":[85],"subset":[86],"already":[89],"present":[90],"in":[91],"consumer":[93],"devices.":[94],"MobilePoser":[95,132],"employs":[96],"multi-stage":[98],"deep":[99],"neural":[100],"network":[101],"kinematic":[103],"followed":[106],"by":[107],"physics-based":[109],"optimizer,":[111],"achieving":[112],"state-of-the-art":[113],"accuracy":[114],"while":[115],"remaining":[116],"lightweight.":[117],"We":[118],"conclude":[119],"with":[120],"series":[122],"demonstrative":[124],"applications":[125],"illustrate":[127],"the":[128],"unique":[129],"potential":[130],"across":[133],"variety":[135],"fields,":[137],"such":[138],"health":[140],"wellness,":[142],"gaming,":[143],"indoor":[145],"navigation":[146],"name":[148],"few.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":20}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
