{"id":"https://openalex.org/W2981731422","doi":"https://doi.org/10.1145/3359566.3360052","title":"Natural Posture Blending Using Deep Neural Networks","display_name":"Natural Posture Blending Using Deep Neural Networks","publication_year":2019,"publication_date":"2019-10-25","ids":{"openalex":"https://openalex.org/W2981731422","doi":"https://doi.org/10.1145/3359566.3360052","mag":"2981731422"},"language":"en","primary_location":{"id":"doi:10.1145/3359566.3360052","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3359566.3360052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Motion, Interaction and Games","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/A5101757276","display_name":"Felix Gaisbauer","orcid":"https://orcid.org/0000-0001-9459-3801"},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]},{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Felix Gaisbauer","raw_affiliation_strings":["Daimler AG, University of Ulm"],"affiliations":[{"raw_affiliation_string":"Daimler AG, University of Ulm","institution_ids":["https://openalex.org/I891521709","https://openalex.org/I196349391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012836342","display_name":"Jannes Lehwald","orcid":"https://orcid.org/0000-0001-5408-6987"},"institutions":[{"id":"https://openalex.org/I4210090154","display_name":"Daimler (United Kingdom)","ror":"https://ror.org/00ac5t267","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210090154","https://openalex.org/I891521709"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jannes Lehwald","raw_affiliation_strings":["Daimler AG"],"affiliations":[{"raw_affiliation_string":"Daimler AG","institution_ids":["https://openalex.org/I4210090154"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072014783","display_name":"Janis Sprenger","orcid":null},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Janis Sprenger","raw_affiliation_strings":["German Research Center for Artificial Intelligence"],"affiliations":[{"raw_affiliation_string":"German Research Center for Artificial Intelligence","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089009282","display_name":"Enrico Rukzio","orcid":"https://orcid.org/0000-0002-4213-2226"},"institutions":[{"id":"https://openalex.org/I196349391","display_name":"Universit\u00e4t Ulm","ror":"https://ror.org/032000t02","country_code":"DE","type":"education","lineage":["https://openalex.org/I196349391"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Enrico Rukzio","raw_affiliation_strings":["University of Ulm"],"affiliations":[{"raw_affiliation_string":"University of Ulm","institution_ids":["https://openalex.org/I196349391"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101757276"],"corresponding_institution_ids":["https://openalex.org/I196349391","https://openalex.org/I891521709"],"apc_list":null,"apc_paid":null,"fwci":0.1663,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49604988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10812","display_name":"Human Pose and Action Recognition","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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/computer-science","display_name":"Computer science","score":0.80265873670578},{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.6757256984710693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6397511959075928},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.6243962049484253},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6173260807991028},{"id":"https://openalex.org/keywords/digitization","display_name":"Digitization","score":0.5769095420837402},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5563485026359558},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5489335060119629},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5349428057670593},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.47782137989997864},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3716142177581787},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.35949063301086426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3449975252151489},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.17952129244804382}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.80265873670578},{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.6757256984710693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6397511959075928},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.6243962049484253},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6173260807991028},{"id":"https://openalex.org/C2779308522","wikidata":"https://www.wikidata.org/wiki/Q843958","display_name":"Digitization","level":2,"score":0.5769095420837402},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5563485026359558},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5489335060119629},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5349428057670593},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.47782137989997864},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3716142177581787},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35949063301086426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3449975252151489},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.17952129244804382},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3359566.3360052","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3359566.3360052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Motion, Interaction and Games","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1576329058","https://openalex.org/W1874425499","https://openalex.org/W1982147649","https://openalex.org/W2031798763","https://openalex.org/W2139656771","https://openalex.org/W2296629652","https://openalex.org/W2611706523","https://openalex.org/W2624413595","https://openalex.org/W2626561412","https://openalex.org/W2887103327","https://openalex.org/W2894996011","https://openalex.org/W2946376398","https://openalex.org/W2963389355","https://openalex.org/W2964121744"],"related_works":["https://openalex.org/W1539704186","https://openalex.org/W4240200267","https://openalex.org/W2399890175","https://openalex.org/W1511510665","https://openalex.org/W3202479762","https://openalex.org/W1524661185","https://openalex.org/W4308177873","https://openalex.org/W2480493049","https://openalex.org/W2078823605","https://openalex.org/W2373874394"],"abstract_inverted_index":{"Motion":[0],"synthesis":[1,126],"approaches":[2,62],"are":[3,24],"widely":[4],"used":[5],"throughout":[6],"different":[7],"domains":[8],"such":[9],"as":[10],"gaming,":[11],"virtual":[12],"crowds":[13],"or":[14,132],"simulation":[15],"within":[16],"production":[17],"industries.":[18],"With":[19],"ongoing":[20],"digitization,":[21],"these":[22],"systems":[23],"becoming":[25],"increasingly":[26],"indispensable.":[27],"In":[28,49,81],"general,":[29],"the":[30,50,110,139,142,145],"utilized":[31,122],"technologies":[32],"can":[33,120],"be":[34,121],"subdivided":[35],"in":[36],"data-driven":[37,53],"and":[38,47,94,101,130,141],"model-based":[39],"approaches,":[40],"whereas":[41],"each":[42],"category":[43],"has":[44,106],"its":[45],"advantages":[46],"disadvantages.":[48],"field":[51],"of":[52,144],"motion":[54,66,125],"synthesis,":[55,67],"recent":[56],"works":[57],"present":[58],"deep":[59,88],"learning":[60],"based":[61],"for":[63,72,91,123],"full":[64],"body":[65],"which":[68],"offer":[69],"great":[70],"potential":[71,143],"modeling":[73],"natural":[74],"motions,":[75],"while":[76],"considering":[77],"heterogeneous":[78],"influence":[79],"factors.":[80],"this":[82],"paper,":[83],"we":[84],"propose":[85],"a":[86,98],"novel":[87,146],"blending":[89,92],"approach":[90,119],"collision-free":[93],"feasible":[95,115],"postures":[96],"between":[97],"humanoid":[99],"start":[100,129],"target":[102],"posture.":[103],"The":[104,117],"network":[105],"been":[107],"trained":[108],"utilizing":[109],"CMU":[111],"database":[112],"to":[113],"generate":[114],"postures.":[116],"proposed":[118],"posture-blending,":[124],"with":[127],"known":[128],"end-posture":[131],"key-frame":[133],"animation.":[134],"A":[135],"preliminary":[136],"evaluation":[137],"indicates":[138],"validity":[140],"approach.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
