{"id":"https://openalex.org/W2028098496","doi":"https://doi.org/10.1145/2185520.2185537","title":"Synthesis of detailed hand manipulations using contact sampling","display_name":"Synthesis of detailed hand manipulations using contact sampling","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2028098496","doi":"https://doi.org/10.1145/2185520.2185537","mag":"2028098496"},"language":"en","primary_location":{"id":"doi:10.1145/2185520.2185537","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2185520.2185537","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-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/A5070709298","display_name":"Yuting Ye","orcid":"https://orcid.org/0000-0003-2643-7457"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuting Ye","raw_affiliation_strings":["Georgia Institute of Technology","[Georgia Institute of Technology.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"[Georgia Institute of Technology.]","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112173706","display_name":"C. Karen Liu","orcid":"https://orcid.org/0009-0008-1388-9028"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Karen Liu","raw_affiliation_strings":["Georgia Institute of Technology","[Georgia Institute of Technology.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"[Georgia Institute of Technology.]","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":19.0885,"has_fulltext":false,"cited_by_count":117,"citation_normalized_percentile":{"value":0.99352635,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"31","issue":"4","first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":1.0,"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":1.0,"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":0.9998000264167786,"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":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8084567785263062},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6990391612052917},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6510435342788696},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6091175675392151},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5715898275375366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5359092354774475},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5232107639312744},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5174527764320374},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.45487555861473083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8084567785263062},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6990391612052917},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6510435342788696},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6091175675392151},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5715898275375366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5359092354774475},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5232107639312744},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5174527764320374},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.45487555861473083},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2185520.2185537","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2185520.2185537","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.684.6115","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.684.6115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://homes.cs.washington.edu/%7Etodorov/courses/amath579/reading/YeLiu.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G769996772","display_name":null,"funder_award_id":"CCF 0742303","funder_id":"https://openalex.org/F4320337387","funder_display_name":"Division of Computing and Communication Foundations"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337387","display_name":"Division of Computing and Communication Foundations","ror":"https://ror.org/01mng8331"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W847404441","https://openalex.org/W1508982309","https://openalex.org/W1563138540","https://openalex.org/W1965244358","https://openalex.org/W1966073502","https://openalex.org/W1979995593","https://openalex.org/W1986045245","https://openalex.org/W1987574258","https://openalex.org/W1990932462","https://openalex.org/W1999329153","https://openalex.org/W2020870038","https://openalex.org/W2021927715","https://openalex.org/W2022144657","https://openalex.org/W2025915818","https://openalex.org/W2036427417","https://openalex.org/W2037277559","https://openalex.org/W2041491564","https://openalex.org/W2064488391","https://openalex.org/W2072097549","https://openalex.org/W2075347672","https://openalex.org/W2076024895","https://openalex.org/W2079512211","https://openalex.org/W2090641955","https://openalex.org/W2093945668","https://openalex.org/W2096541063","https://openalex.org/W2106281046","https://openalex.org/W2117085697","https://openalex.org/W2122115534","https://openalex.org/W2127705885","https://openalex.org/W2128990851","https://openalex.org/W2136991536","https://openalex.org/W2137267908","https://openalex.org/W2139122270","https://openalex.org/W2139760425","https://openalex.org/W2140372825","https://openalex.org/W2148833817","https://openalex.org/W2150246196","https://openalex.org/W2156269816","https://openalex.org/W2157139838","https://openalex.org/W2159242227","https://openalex.org/W2167788274","https://openalex.org/W2593993668","https://openalex.org/W2912899437","https://openalex.org/W3085319044","https://openalex.org/W3104753760","https://openalex.org/W3149870276","https://openalex.org/W4233647963","https://openalex.org/W4242577313","https://openalex.org/W4245854110"],"related_works":["https://openalex.org/W1827696521","https://openalex.org/W2039848376","https://openalex.org/W2173450654","https://openalex.org/W2621720158","https://openalex.org/W2130272765","https://openalex.org/W2091722187","https://openalex.org/W2006196742","https://openalex.org/W2055991023","https://openalex.org/W2089042722","https://openalex.org/W2019950433"],"abstract_inverted_index":{"Capturing":[0],"human":[1,33,122],"activities":[2],"that":[3,67,88],"involve":[4],"both":[5],"gross":[6],"full-body":[7,44],"motion":[8,19,53],"and":[9,45,62,126],"detailed":[10,61],"hand":[11,65],"manipulation":[12,66,94],"of":[13,42,76,86,93,141],"objects":[14,47],"is":[15],"challenging":[16],"for":[17,27,104],"standard":[18,52],"capture":[20,54],"systems.":[21],"We":[22,96],"introduce":[23],"a":[24,51,84,90,98],"new":[25],"method":[26,39,57,82],"creating":[28],"natural":[29],"scenes":[30],"with":[31,71,138],"such":[32,128],"activities.":[34],"The":[35],"input":[36,73],"to":[37,102],"our":[38,81],"includes":[40],"motions":[41,87],"the":[43,46,72,113],"acquired":[48],"simultaneously":[49],"by":[50],"system.":[55],"Our":[56,117],"then":[58],"automatically":[59],"synthesizes":[60],"physically":[63],"plausible":[64],"can":[68],"seamlessly":[69],"integrate":[70],"motions.":[74],"Instead":[75],"producing":[77],"one":[78],"\"optimal\"":[79],"solution,":[80],"presents":[83],"set":[85],"exploit":[89],"wide":[91],"variety":[92],"strategies.":[95],"propose":[97],"randomized":[99],"sampling":[100],"algorithm":[101],"search":[103],"as":[105,107,129,133,135],"many":[106],"possible":[108],"visually":[109],"diverse":[110],"solutions":[111],"within":[112],"computational":[114],"time":[115],"budget.":[116],"results":[118],"highlight":[119],"complex":[120],"strategies":[121],"hands":[123],"employ":[124],"effortlessly":[125],"unconsciously,":[127],"static,":[130],"sliding,":[131],"rolling,":[132],"well":[134],"finger":[136],"gaits":[137],"discrete":[139],"relocation":[140],"contact":[142],"points.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}