{"id":"https://openalex.org/W1503810486","doi":"https://doi.org/10.1109/icce-tw.2015.7216806","title":"An interactive Taiwan sign language learning system based on depth and color images","display_name":"An interactive Taiwan sign language learning system based on depth and color images","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1503810486","doi":"https://doi.org/10.1109/icce-tw.2015.7216806","mag":"1503810486"},"language":"en","primary_location":{"id":"doi:10.1109/icce-tw.2015.7216806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw.2015.7216806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","raw_type":"proceedings-article"},"type":"conference-paper","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/A5078313923","display_name":"Shih\u2010Hsuan Yang","orcid":"https://orcid.org/0000-0001-7678-5308"},"institutions":[{"id":"https://openalex.org/I4210161669","display_name":"ID Pharma (Japan)","ror":"https://ror.org/05yk8hs36","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210161669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shih-Hsuan Yang","raw_affiliation_strings":["iD Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"iD Corporation, Japan","institution_ids":["https://openalex.org/I4210161669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021202794","display_name":"Jia-Ze Gan","orcid":null},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jia-Ze Gan","raw_affiliation_strings":["Kyushu Institute of Technology, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, Fukuoka, Japan","institution_ids":["https://openalex.org/I207014233"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4249,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.49862574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"113"},"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":0.9936000108718872,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9735000133514404,"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/sign-language","display_name":"Sign language","score":0.8796598315238953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7968506813049316},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.6195728778839111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5224617719650269},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5192508697509766},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4985384941101074},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4196532964706421},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35486000776290894},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.35200053453445435},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10295596718788147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08209747076034546}],"concepts":[{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.8796598315238953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7968506813049316},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.6195728778839111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5224617719650269},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5192508697509766},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4985384941101074},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4196532964706421},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35486000776290894},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35200053453445435},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10295596718788147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08209747076034546},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","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/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-tw.2015.7216806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw.2015.7216806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1969724184","https://openalex.org/W2037141926","https://openalex.org/W2106309274"],"related_works":["https://openalex.org/W2110143569","https://openalex.org/W3122938442","https://openalex.org/W4379621602","https://openalex.org/W4294690766","https://openalex.org/W2159815235","https://openalex.org/W3204710839","https://openalex.org/W2025206082","https://openalex.org/W2093958826","https://openalex.org/W2164424388","https://openalex.org/W1989687946"],"abstract_inverted_index":{"Sign":[0],"language":[1,19],"is":[2],"crucial":[3],"for":[4,50],"communicating":[5],"with":[6,31,91],"hearing-impaired":[7],"people.":[8],"This":[9],"study":[10],"intended":[11],"to":[12,69,94],"develop":[13],"a":[14,88],"new":[15],"interactive":[16],"Taiwan":[17,99],"sign":[18,72,100],"learning":[20,97],"system.":[21],"The":[22],"Microsoft":[23],"Kinect":[24],"was":[25,67],"used":[26],"as":[27],"an":[28],"input":[29],"device,":[30],"which":[32],"the":[33,64,71,77,82,96],"color":[34],"image,":[35,37],"depth":[36],"and":[38,43,52,59,63],"skeleton":[39],"points":[40],"of":[41,54,81,98],"hands":[42],"body":[44],"were":[45],"collected.":[46],"We":[47,85],"developed":[48,87],"algorithms":[49],"extraction":[51],"classification":[53],"hand":[55,57,60],"location,":[56],"shape,":[58],"motion":[61],"trajectory,":[62],"above":[65],"information":[66],"integrated":[68],"decipher":[70],"language.":[73,101],"Experimental":[74],"results":[75],"confirmed":[76],"high":[78],"recognition":[79],"rate":[80],"proposed":[83],"method.":[84],"also":[86],"user-friendly":[89],"interface":[90],"various":[92],"modes":[93],"facilitate":[95]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}