{"id":"https://openalex.org/W2384611745","doi":"https://doi.org/10.1145/2910674.2910716","title":"Evaluation of Deep Learning based Pose Estimation for Sign Language Recognition","display_name":"Evaluation of Deep Learning based Pose Estimation for Sign Language Recognition","publication_year":2016,"publication_date":"2016-06-29","ids":{"openalex":"https://openalex.org/W2384611745","doi":"https://doi.org/10.1145/2910674.2910716","mag":"2384611745"},"language":"en","primary_location":{"id":"doi:10.1145/2910674.2910716","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2910674.2910716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","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/A5069654250","display_name":"Srujana Gattupalli","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Srujana Gattupalli","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, Texas, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, Texas, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020627307","display_name":"Amir Ghaderi","orcid":"https://orcid.org/0000-0001-9193-6039"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amir Ghaderi","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, Texas, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, Texas, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025213339","display_name":"Vassilis Athitsos","orcid":"https://orcid.org/0000-0002-1281-6168"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vassilis Athitsos","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, Texas, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, Texas, USA","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069654250"],"corresponding_institution_ids":["https://openalex.org/I189196454"],"apc_list":null,"apc_paid":null,"fwci":4.3182,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.94279011,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"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":1.0,"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":0.9995999932289124,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.8606922626495361},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.8035783767700195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7622878551483154},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6627987623214722},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6171895861625671},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.5709185004234314},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5096158981323242},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4975290596485138},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4657277464866638},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.44969800114631653},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4167528450489044},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.41225701570510864},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34293463826179504}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8606922626495361},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8035783767700195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7622878551483154},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6627987623214722},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6171895861625671},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.5709185004234314},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5096158981323242},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4975290596485138},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4657277464866638},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.44969800114631653},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4167528450489044},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.41225701570510864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34293463826179504},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2910674.2910716","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2910674.2910716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"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":20,"referenced_works":["https://openalex.org/W602397586","https://openalex.org/W1483742373","https://openalex.org/W1816678934","https://openalex.org/W1986614398","https://openalex.org/W1992016704","https://openalex.org/W1994529670","https://openalex.org/W2096976709","https://openalex.org/W2113228424","https://openalex.org/W2113325037","https://openalex.org/W2128271252","https://openalex.org/W2136391815","https://openalex.org/W2149933564","https://openalex.org/W2155394491","https://openalex.org/W2155893237","https://openalex.org/W2161755782","https://openalex.org/W2167860520","https://openalex.org/W2559655401","https://openalex.org/W2595840341","https://openalex.org/W2952504680","https://openalex.org/W6628992940"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W1989687946"],"abstract_inverted_index":{"Human":[0],"body":[1],"pose":[2,69,83,109],"estimation":[3,70,84,110],"and":[4,47,98,114],"hand":[5],"detection":[6],"are":[7,23,55],"two":[8,79],"important":[9],"tasks":[10,22],"for":[11,44,67,71,124],"systems":[12],"that":[13,102,104],"perform":[14,95],"computer":[15],"vision-based":[16],"sign":[17],"language":[18],"recognition(SLR).":[19],"However,":[20],"both":[21],"challenging,":[24],"especially":[25],"when":[26],"the":[27,42,50,76],"input":[28],"is":[29],"color":[30],"videos,":[31],"with":[32],"no":[33],"depth":[34],"information.":[35],"Many":[36],"algorithms":[37,54],"have":[38],"been":[39],"proposed":[40],"in":[41],"literature":[43],"these":[45,117],"tasks,":[46],"some":[48],"of":[49,78],"most":[51],"successful":[52],"recent":[53],"based":[56,82],"on":[57,90],"deep":[58,80],"learning.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63,99],"introduce":[64],"a":[65,121],"dataset":[66,113],"human":[68],"SLR":[72],"domain.":[73],"We":[74,93],"evaluate":[75],"performance":[77],"learning":[81,106],"methods,":[85],"by":[86],"performing":[87],"user-independent":[88],"experiments":[89],"our":[91],"dataset.":[92],"also":[94],"transfer":[96,105],"learning,":[97],"obtain":[100],"results":[101,115],"demonstrate":[103],"can":[107,119],"improve":[108],"accuracy.":[111],"The":[112],"from":[116],"methods":[118],"create":[120],"useful":[122],"baseline":[123],"future":[125],"works.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
