{"id":"https://openalex.org/W2073098112","doi":"https://doi.org/10.1145/2656345","title":"Exploring the Benefits of Context in 3D Gesture Recognition for Game-Based Virtual Environments","display_name":"Exploring the Benefits of Context in 3D Gesture Recognition for Game-Based Virtual Environments","publication_year":2015,"publication_date":"2015-03-09","ids":{"openalex":"https://openalex.org/W2073098112","doi":"https://doi.org/10.1145/2656345","mag":"2073098112"},"language":"en","primary_location":{"id":"doi:10.1145/2656345","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2656345","pdf_url":null,"source":{"id":"https://openalex.org/S4210173818","display_name":"ACM Transactions on Interactive Intelligent Systems","issn_l":"2160-6455","issn":["2160-6455","2160-6463"],"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 Interactive Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2015/124","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066046803","display_name":"Eugene M. Taranta","orcid":"https://orcid.org/0000-0001-5615-2597"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eugene M. Taranta II","raw_affiliation_strings":["University of Central Florida, Orlando, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069776611","display_name":"Thaddeus K. Simons","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thaddeus K. Simons","raw_affiliation_strings":["University of Central Florida, Orlando, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066107323","display_name":"Rahul Sukthankar","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Sukthankar","raw_affiliation_strings":["Google Research, Mountain View, USA","Google Research, Mountain View, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research, Mountain View, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, Mountain View, USA#TAB#","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026436478","display_name":"Joseph J. LaViola","orcid":"https://orcid.org/0000-0003-1186-4130"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph J. Laviola Jr.","raw_affiliation_strings":["University of Central Florida, Orlando, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2636,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.88083141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"5","issue":"1","first_page":"1","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"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":0.9948999881744385,"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/computer-science","display_name":"Computer science","score":0.820331335067749},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.8062981367111206},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.7022721171379089},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5999079942703247},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5301234126091003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5200778841972351},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5091392397880554},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.48951470851898193},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4798247814178467},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.47862309217453003},{"id":"https://openalex.org/keywords/video-game","display_name":"Video game","score":0.41511648893356323},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3758384585380554},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32494503259658813},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.14791542291641235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.820331335067749},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8062981367111206},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.7022721171379089},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5999079942703247},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5301234126091003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5200778841972351},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5091392397880554},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.48951470851898193},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4798247814178467},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47862309217453003},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.41511648893356323},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3758384585380554},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32494503259658813},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.14791542291641235},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2656345","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2656345","pdf_url":null,"source":{"id":"https://openalex.org/S4210173818","display_name":"ACM Transactions on Interactive Intelligent Systems","issn_l":"2160-6455","issn":["2160-6455","2160-6463"],"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 Interactive Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-1123","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/124","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-1123","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/124","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.5600000023841858,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G5596039997","display_name":null,"funder_award_id":"IIS-0845921,IIS-0856045,CCF-1012056","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W152645600","https://openalex.org/W203185458","https://openalex.org/W1487106649","https://openalex.org/W1489737693","https://openalex.org/W1522742497","https://openalex.org/W1534304300","https://openalex.org/W1536025215","https://openalex.org/W1706418518","https://openalex.org/W1979294409","https://openalex.org/W1981781955","https://openalex.org/W1983506867","https://openalex.org/W1994705945","https://openalex.org/W2001688498","https://openalex.org/W2031071334","https://openalex.org/W2032678363","https://openalex.org/W2039542888","https://openalex.org/W2050396504","https://openalex.org/W2051048995","https://openalex.org/W2077553549","https://openalex.org/W2079176292","https://openalex.org/W2089234697","https://openalex.org/W2094645604","https://openalex.org/W2096298528","https://openalex.org/W2098517267","https://openalex.org/W2101234009","https://openalex.org/W2106833577","https://openalex.org/W2109394448","https://openalex.org/W2113615789","https://openalex.org/W2117385163","https://openalex.org/W2118628444","https://openalex.org/W2119656522","https://openalex.org/W2121439273","https://openalex.org/W2128160875","https://openalex.org/W2128496122","https://openalex.org/W2128820094","https://openalex.org/W2131590007","https://openalex.org/W2131700150","https://openalex.org/W2133865010","https://openalex.org/W2138858393","https://openalex.org/W2143004591","https://openalex.org/W2144916786","https://openalex.org/W2147625498","https://openalex.org/W2147768505","https://openalex.org/W2149173366","https://openalex.org/W2153360297","https://openalex.org/W2153635508","https://openalex.org/W2155983176","https://openalex.org/W2157532745","https://openalex.org/W2161831889","https://openalex.org/W2163292664","https://openalex.org/W2168392347","https://openalex.org/W2545993457","https://openalex.org/W2600339340","https://openalex.org/W2750449428","https://openalex.org/W2911964244","https://openalex.org/W2913036069","https://openalex.org/W2995012062","https://openalex.org/W2997591727","https://openalex.org/W3006406566","https://openalex.org/W3097096317"],"related_works":["https://openalex.org/W2419138286","https://openalex.org/W2507549656","https://openalex.org/W2050318184","https://openalex.org/W101156158","https://openalex.org/W2182848507","https://openalex.org/W2387825067","https://openalex.org/W2506414444","https://openalex.org/W2315394208","https://openalex.org/W72718568","https://openalex.org/W3117879940"],"abstract_inverted_index":{"We":[0,117,207],"present":[1],"a":[2,68,94,99,110,122,137,144],"systematic":[3],"exploration":[4],"of":[5,71,80,93,146,156,171,201,233,236,265,281,293],"how":[6],"to":[7,17,25,56,86,142,286,298,306,315],"utilize":[8],"video":[9],"game":[10,127,151],"context":[11,42,85],"(e.g.,":[12],"player":[13],"and":[14,19,36,61,98,149,179,199,216,227,254,271,310],"environmental":[15],"state)":[16],"modify":[18],"augment":[20],"existing":[21],"3D":[22,44],"gesture":[23,30,45,139,177],"recognizers":[24],"improve":[26],"accuracy":[27,292],"for":[28,40,244,247,303],"large":[29],"sets.":[31],"Specifically,":[32],"our":[33,176,184,188,258],"work":[34],"develops":[35],"evaluates":[37],"three":[38,161,249,267],"strategies":[39,48],"incorporating":[41],"into":[43],"recognizers.":[46],"These":[47],"include":[49],"modifying":[50],"the":[51,78,150,164,169,202,210,231,234,237,248,266,279],"well-known":[52],"Rubine":[53],"linear":[54],"classifier":[55],"handle":[57],"unsegmented":[58],"input":[59],"streams":[60],"per-frame":[62],"retraining":[63],"using":[64,121,183],"contextual":[65],"information":[66],"(CA-Linear);":[67],"GPU":[69],"implementation":[70],"dynamic":[72],"time":[73,90],"warping":[74],"(DTW)":[75],"that":[76,106,129,153,209,277],"reduces":[77],"overhead":[79],"traditional":[81],"DTW":[82],"by":[83,224],"utilizing":[84],"evaluate":[87,118,168],"only":[88],"relevant":[89],"sequences":[91],"inside":[92],"multithreaded":[95],"kernel":[96],"(CA-DTW);":[97],"multiclass":[100],"SVM":[101],"with":[102,109,133,270,295,312],"per-class":[103],"probability":[104,114],"estimation":[105],"is":[107,261],"combined":[108],"contextually":[111,211],"based":[112],"prior":[113],"distribution":[115],"(CA-SVM).":[116],"each":[119],"strategy":[120],"Kinect-based":[123],"third-person":[124],"perspective":[125],"VE":[126],"prototype":[128,152],"combines":[130],"parkour-style":[131],"navigation":[132],"hand-to-hand":[134],"combat.":[135],"Using":[136],"simple":[138],"collection":[140],"application":[141],"collect":[143],"set":[145,178],"57":[147,203],"gestures":[148,204],"implements":[154],"37":[155],"these":[157],"gestures,":[158],"we":[159,167,191,240,283],"conduct":[160],"experiments.":[162],"In":[163,187],"first":[165],"experiment,":[166,190,239],"effectiveness":[170],"several":[172],"established":[173],"classifiers":[174,213,269],"on":[175],"demonstrate":[180],"state-of-the-art":[181],"results":[182,235,275],"proposed":[185],"method.":[186],"second":[189,238],"generate":[192],"500":[193],"random":[194],"scenarios":[195],"having":[196],"between":[197],"5":[198],"19":[200],"in":[205],"context.":[206,273,318],"show":[208,276],"aware":[212,222],"CA-Linear,":[214],"CA-DTW,":[215],"CA-SVM":[217,313],"significantly":[218],"outperform":[219],"their":[220],"non--contextually":[221],"counterparts":[223],"37.74%,":[225],"36.04%,":[226],"20.81%,":[228],"respectively.":[229,256],"On":[230],"basis":[232],"derive":[241],"upper-bound":[242],"expectations":[243],"in-game":[245,263,290],"performance":[246],"CA":[250,268],"classifiers:":[251],"96.61%,":[252],"86.79%,":[253],"96.86%,":[255],"Finally,":[257],"third":[259],"experiment":[260],"an":[262,288],"evaluation":[264],"without":[272,300,308,317],"Our":[274],"through":[278],"use":[280],"context,":[282,301,309],"are":[284],"able":[285],"achieve":[287],"average":[289],"recognition":[291],"89.67%":[294],"CA-Linear":[296],"compared":[297,305,314],"65.10%":[299],"79.04%":[302],"CA-DTW":[304],"58.1%":[307],"90.85%":[311],"75.2%":[316]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
