{"id":"https://openalex.org/W1985327311","doi":"https://doi.org/10.1109/icta.2013.6815316","title":"Towards content-based 3D sign language indexing using segmental M-H model","display_name":"Towards content-based 3D sign language indexing using segmental M-H model","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W1985327311","doi":"https://doi.org/10.1109/icta.2013.6815316","mag":"1985327311"},"language":"en","primary_location":{"id":"doi:10.1109/icta.2013.6815316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icta.2013.6815316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourth International Conference on Information and Communication Technology and Accessibility (ICTA)","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/A5036278344","display_name":"Kabil Jaballah","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145739","display_name":"Time Universit\u00e9","ror":"https://ror.org/03y2yf271","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210145739"]},{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Kabil Jaballah","raw_affiliation_strings":["Latice research laboratory, University of Tunis","Latice research laboratory, University of Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Latice research laboratory, University of Tunis","institution_ids":["https://openalex.org/I4210145739"]},{"raw_affiliation_string":"Latice research laboratory, University of Tunis, Tunisia","institution_ids":["https://openalex.org/I108714496"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5036278344"],"corresponding_institution_ids":["https://openalex.org/I108714496","https://openalex.org/I4210145739"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0867077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"77","issue":null,"first_page":"1","last_page":"4"},"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/T11285","display_name":"Hearing Impairment and Communication","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9478999972343445,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.8803279399871826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8027743101119995},{"id":"https://openalex.org/keywords/avatar","display_name":"Avatar","score":0.7385156750679016},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7039330005645752},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.6032979488372803},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.5009465217590332},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4722287654876709},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.459859162569046},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4473075270652771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.433764785528183},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.42367273569107056},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.391484797000885},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.302432119846344},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.20512166619300842},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.136135071516037}],"concepts":[{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.8803279399871826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027743101119995},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.7385156750679016},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7039330005645752},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.6032979488372803},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5009465217590332},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4722287654876709},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.459859162569046},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4473075270652771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.433764785528183},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.42367273569107056},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.391484797000885},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.302432119846344},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.20512166619300842},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.136135071516037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icta.2013.6815316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icta.2013.6815316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourth International Conference on Information and Communication Technology and Accessibility (ICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W126323795","https://openalex.org/W170822411","https://openalex.org/W1525917727","https://openalex.org/W1564455213","https://openalex.org/W1570074496","https://openalex.org/W1572603946","https://openalex.org/W1772885692","https://openalex.org/W1965498301","https://openalex.org/W1993230685","https://openalex.org/W2048791563","https://openalex.org/W2059235826","https://openalex.org/W2071661729","https://openalex.org/W2125838338","https://openalex.org/W2145552339","https://openalex.org/W2146221819","https://openalex.org/W6633553206","https://openalex.org/W6634573206","https://openalex.org/W6681418820"],"related_works":["https://openalex.org/W3138471234","https://openalex.org/W4247958311","https://openalex.org/W4396832849","https://openalex.org/W1584662471","https://openalex.org/W2785089443","https://openalex.org/W2265117524","https://openalex.org/W1467576422","https://openalex.org/W4220730560","https://openalex.org/W2969390373","https://openalex.org/W2604471456"],"abstract_inverted_index":{"3D":[0,13,36,46,119,173],"sign":[1,37,132],"language":[2,38,76,133],"is":[3,39,127],"a":[4,66,106,114,144,167],"brand":[5],"new":[6,115,145],"technology":[7],"that":[8,68],"provides":[9],"tools":[10],"to":[11,147,187],"create":[12],"signed":[14,47,75,120,174],"content":[15,72],"based":[16,128,152],"on":[17,129,153,166],"avatars.":[18],"Pushed":[19],"by":[20],"the":[21,87,92,149,154,160,190],"advances":[22],"in":[23,105],"computer":[24],"graphics":[25],"and":[26,43,52,99,123,139,163],"many":[27],"other":[28],"advantages":[29],"compared":[30],"with":[31],"videos":[32],"of":[33,45,169],"live":[34],"signers,":[35],"getting":[40],"more":[41,170],"interest":[42],"lots":[44],"scenes":[48,175],"are":[49,95,181],"being":[50],"recorded":[51],"used":[53],"for":[54,117,189],"multiple":[55,178],"purposes":[56],"like":[57],"young":[58],"deaf":[59],"teaching.":[60],"In":[61,109],"Tunsia,":[62],"we":[63,112],"created":[64,93],"WebSign,":[65],"system":[67],"translates":[69],"any":[70,74],"textual":[71],"into":[73],"through":[77],"an":[78],"avatar.":[79],"Many":[80],"similar":[81],"systems":[82],"have":[83],"been":[84],"proposed":[85],"during":[86],"past":[88],"few":[89],"years.":[90],"Unfortunately,":[91],"contents":[94,121],"not":[96,102],"cataloged":[97],"efficiently":[98],"subsequently":[100],"could":[101],"be":[103],"retrieved":[104],"relevant":[107],"way.":[108],"this":[110],"paper,":[111],"propose":[113,143],"approach":[116,126,162],"automatic":[118],"indexing":[122],"matching.":[124],"Our":[125],"classifying":[130],"automatically":[131],"parameters":[134,151,191],"(hand":[135],"shape,":[136],"location,":[137],"orientation":[138],"movement).":[140],"We":[141,158],"also":[142],"model":[146],"represent":[148],"recognized":[150],"Mouvement-Hold":[155],"Model":[156],"(MHM).":[157],"implemented":[159],"designed":[161],"tested":[164],"it":[165],"repository":[168],"than":[171],"2000":[172],"issued":[176],"from":[177],"systems.":[179],"Results":[180],"encouraging":[182],"since":[183],"they":[184],"reached":[185],"up":[186],"90%":[188],"recognition":[192],"rate.":[193]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
