乐胖代购免代理版

{"id":"https://openalex.org/W2240090844","doi":"https://doi.org/10.1145/2822013.2822039","title":"Segmenting motion capture data using a qualitative analysis","display_name":"Segmenting motion capture data using a qualitative analysis","publication_year":2015,"publication_date":"2015-11-03","ids":{"openalex":"https://openalex.org/W2240090844","doi":"https://doi.org/10.1145/2822013.2822039","mag":"2240090844"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/2822013.2822039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.upenn.edu/bitstreams/120dcd8c-09bc-4224-820a-8e0fba1f5744/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073563217","display_name":"Durell Bouchard","orcid":null},"institutions":[{"id":"https://openalex.org/I41833579","display_name":"Roanoke College","ror":"https://ror.org/00jtk7j90","country_code":"US","type":"education","lineage":["https://openalex.org/I41833579"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Durell Bouchard","raw_affiliation_strings":["Roanoke College"],"affiliations":[{"raw_affiliation_string":"Roanoke College","institution_ids":["https://openalex.org/I41833579"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001979394","display_name":"Norman I. Badler","orcid":"https://orcid.org/0000-0001-8659-3828"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Norman I. Badler","raw_affiliation_strings":["University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.934,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":7,"citation_normalized_percentile":{"value":0.659249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":"2","issue":null,"first_page":"23","last_page":"30"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9998,"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":0.9998,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9987,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9977,"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":0.76539814},{"id":"https://openalex.org/keywords/motion-analysis","display_name":"Motion analysis","score":0.44923997},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4361372}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8177717},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.76539814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.71593285},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.66542965},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.60696584},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.60675514},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5499142},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.49731448},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.48645183},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47452298},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.44923997},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.44596213},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4361372},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3958465},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.14231893},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09671855},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/2822013.2822039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://repository.upenn.edu/hms/154","pdf_url":"https://repository.upenn.edu/bitstreams/120dcd8c-09bc-4224-820a-8e0fba1f5744/download","source":{"id":"https://openalex.org/S4306402083","display_name":"ScholarlyCommons (University of Pennsylvania)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I79576946","host_organization_name":"University of Pennsylvania","host_organization_lineage":["https://openalex.org/I79576946"],"host_organization_lineage_names":["University of Pennsylvania"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://repository.upenn.edu/hms/154","pdf_url":"https://repository.upenn.edu/bitstreams/120dcd8c-09bc-4224-820a-8e0fba1f5744/download","source":{"id":"https://openalex.org/S4306402083","display_name":"ScholarlyCommons (University of Pennsylvania)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I79576946","host_organization_name":"University of Pennsylvania","host_organization_lineage":["https://openalex.org/I79576946"],"host_organization_lineage_names":["University of Pennsylvania"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.51,"id":"https://metadata.un.org/sdg/8"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":43,"referenced_works":["https://openalex.org/W103319772","https://openalex.org/W113230244","https://openalex.org/W1514689662","https://openalex.org/W1539782713","https://openalex.org/W1540161813","https://openalex.org/W1549473311","https://openalex.org/W166154944","https://openalex.org/W1696716473","https://openalex.org/W1848555650","https://openalex.org/W191926697","https://openalex.org/W1970610710","https://openalex.org/W1978383016","https://openalex.org/W1979378996","https://openalex.org/W199398490","https://openalex.org/W2007943216","https://openalex.org/W2008414863","https://openalex.org/W2012245169","https://openalex.org/W2028605775","https://openalex.org/W2030991373","https://openalex.org/W2033994211","https://openalex.org/W2047478540","https://openalex.org/W2094230477","https://openalex.org/W2102873422","https://openalex.org/W2104641680","https://openalex.org/W2105433999","https://openalex.org/W2105471354","https://openalex.org/W2107292249","https://openalex.org/W2108639716","https://openalex.org/W2109244124","https://openalex.org/W2113311165","https://openalex.org/W2113687196","https://openalex.org/W2145546283","https://openalex.org/W2148250208","https://openalex.org/W2150111138","https://openalex.org/W2150705285","https://openalex.org/W2153674013","https://openalex.org/W2156880699","https://openalex.org/W2161491846","https://openalex.org/W2168729417","https://openalex.org/W2172642905","https://openalex.org/W2250566637","https://openalex.org/W4285719527","https://openalex.org/W49754381"],"related_works":["https://openalex.org/W4210514273","https://openalex.org/W3169129874","https://openalex.org/W3112102641","https://openalex.org/W2989004599","https://openalex.org/W2535923857","https://openalex.org/W2379697716","https://openalex.org/W2121378366","https://openalex.org/W2018882065","https://openalex.org/W2013184069","https://openalex.org/W1976926596"],"abstract_inverted_index":{"Many":[0],"interactive":[1],"3D":[2],"games":[3],"utilize":[4],"motion":[5,27,52,100],"capture":[6,28,53],"for":[7,38,85],"both":[8,131],"character":[9],"animation":[10],"and":[11,88,135],"user":[12],"input.":[13],"These":[14],"applications":[15],"require":[16],"short,":[17],"meaningful":[18],"sequences":[19,101],"of":[20,26,50,110],"data.":[21],"Manually":[22],"producing":[23],"these":[24],"segments":[25],"data":[29,54],"is":[30,36],"a":[31,43,73,108],"laborious,":[32],"time-consuming":[33],"process":[34],"that":[35,60,119],"impractical":[37],"real-time":[39],"applications.":[40],"We":[41,117],"present":[42],"method":[44,98],"to":[45,63,83,128],"automatically":[46],"produce":[47],"semantic":[48,78],"segmentations":[49,120],"general":[51,86],"by":[55],"examining":[56],"the":[57,133,136],"qualitative":[58],"properties":[59],"are":[61,81,125],"intrinsic":[62],"all":[64],"motions,":[65,87],"using":[66,122],"Laban":[67],"Movement":[68],"Analysis":[69],"(LMA).":[70],"LMA":[71,123],"provides":[72],"good":[74],"compromise":[75],"between":[76],"high-level":[77],"features,":[79,91],"which":[80,92,102],"difficult":[82],"extract":[84],"low-level":[89],"kinematic":[90],"often":[93],"yield":[94],"unsophisticated":[95],"segmentations.":[96],"Our":[97],"finds":[99],"exhibit":[103],"high":[104],"output":[105],"similarity":[106],"from":[107],"collection":[109],"neural":[111],"networks":[112],"trained":[113],"with":[114],"temporal":[115],"variance.":[116],"show":[118],"produced":[121],"features":[124],"more":[126],"similar":[127],"manual":[129],"segmentations,":[130],"at":[132],"frame":[134],"segment":[137],"level,":[138],"than":[139],"several":[140],"other":[141],"automatic":[142],"segmentation":[143],"methods.":[144]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2240090844","counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-03-22T04:39:20.096508","created_date":"2016-06-24"}