{"id":"https://openalex.org/W2006196742","doi":"https://doi.org/10.1145/2670473.2670481","title":"Using motion capture for interactive motion editing","display_name":"Using motion capture for interactive motion editing","publication_year":2014,"publication_date":"2014-11-30","ids":{"openalex":"https://openalex.org/W2006196742","doi":"https://doi.org/10.1145/2670473.2670481","mag":"2006196742"},"language":"en","primary_location":{"id":"doi:10.1145/2670473.2670481","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2670473.2670481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry","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/A5010991507","display_name":"Masaki Oshita","orcid":"https://orcid.org/0000-0001-9844-7713"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Oshita","raw_affiliation_strings":["Kyushu Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005723669","display_name":"Hiroyuki Muranaka","orcid":null},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Muranaka","raw_affiliation_strings":["Kyushu Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology","institution_ids":["https://openalex.org/I207014233"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8208,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77123121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"65","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9980999827384949,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.986299991607666,"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/motion-capture","display_name":"Motion capture","score":0.8224294185638428},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.7968586683273315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.741586446762085},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.71918123960495},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6272776126861572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5626254677772522},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.5488378405570984},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.46504130959510803},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3603721261024475}],"concepts":[{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.8224294185638428},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.7968586683273315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741586446762085},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.71918123960495},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6272776126861572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5626254677772522},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5488378405570984},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.46504130959510803},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3603721261024475},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2670473.2670481","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2670473.2670481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.894.9622","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.894.9622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cg.ces.kyutech.ac.jp/paper/vrcai14b.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W74061477","https://openalex.org/W1528912677","https://openalex.org/W2017913224","https://openalex.org/W2065901914","https://openalex.org/W2087441489","https://openalex.org/W2117845094","https://openalex.org/W2119927991","https://openalex.org/W2293431122"],"related_works":["https://openalex.org/W2349116566","https://openalex.org/W1827696521","https://openalex.org/W2173450654","https://openalex.org/W2039848376","https://openalex.org/W2621720158","https://openalex.org/W2091722187","https://openalex.org/W2006196742","https://openalex.org/W2130272765","https://openalex.org/W4401486264","https://openalex.org/W2055991023"],"abstract_inverted_index":{"Motion":[0,11],"capture":[1,57,62,74],"technology":[2],"has":[3],"been":[4],"widely":[5],"used":[6],"for":[7],"creating":[8],"character":[9,22,40],"motions.":[10,20],"editing":[12,51,82,110],"is":[13,36,118],"usually":[14],"also":[15],"required":[16],"to":[17,38,102],"adjust":[18],"captured":[19,68],"Because":[21],"poses":[23,41],"which":[24],"include":[25],"joint":[26],"rotations,":[27],"body":[28,88],"positions,":[29],"and":[30,65,94,106],"orientations":[31],"are":[32],"high-dimensional":[33],"data,":[34],"it":[35],"difficult":[37],"manipulate":[39],"through":[42],"a":[43,49,55,63,99],"conventional":[44,107,123],"mouse-based":[45,108],"interface.":[46,124],"We":[47,97],"propose":[48],"motion":[50,56,64,69,73,81,95,109],"system":[52,60,105],"that":[53,115],"uses":[54],"device.":[58,75],"Our":[59,76],"can":[61,79],"edit":[66],"the":[67,71,122],"using":[70],"same":[72],"motion-capture-based":[77],"interface":[78,117],"specify":[80],"parameters":[83],"such":[84],"as":[85],"time":[86],"period,":[87],"part":[89],"selection,":[90],"end-effector":[91],"position,":[92],"pose,":[93],"segment.":[96],"conducted":[98],"user":[100],"study":[101],"compare":[103],"our":[104,116],"system.":[111],"The":[112],"results":[113],"showed":[114],"more":[119],"efficient":[120],"than":[121]},"counts_by_year":[{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}