{"id":"https://openalex.org/W2396328729","doi":"https://doi.org/10.1109/isba.2016.7477238","title":"Spotting fingerspelled words from sign language video by temporally regularized canonical component analysis","display_name":"Spotting fingerspelled words from sign language video by temporally regularized canonical component analysis","publication_year":2016,"publication_date":"2016-02-01","ids":{"openalex":"https://openalex.org/W2396328729","doi":"https://doi.org/10.1109/isba.2016.7477238","mag":"2396328729"},"language":"en","primary_location":{"id":"doi:10.1109/isba.2016.7477238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isba.2016.7477238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)","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/A5071741462","display_name":"Shohei Tanaka","orcid":"https://orcid.org/0000-0002-4257-5342"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shohei Tanaka","raw_affiliation_strings":["Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071862222","display_name":"Akio Okazaki","orcid":null},"institutions":[{"id":"https://openalex.org/I24254649","display_name":"Tsukuba University of Technology","ror":"https://ror.org/057bx9y85","country_code":"JP","type":"education","lineage":["https://openalex.org/I24254649"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akio Okazaki","raw_affiliation_strings":["Faculty of Industrial Technology, Tsukuba University of Technology, Tsukuba, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Industrial Technology, Tsukuba University of Technology, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I24254649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039884780","display_name":"Nobuko Kato","orcid":"https://orcid.org/0000-0003-0657-6740"},"institutions":[{"id":"https://openalex.org/I24254649","display_name":"Tsukuba University of Technology","ror":"https://ror.org/057bx9y85","country_code":"JP","type":"education","lineage":["https://openalex.org/I24254649"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuko Kato","raw_affiliation_strings":["Faculty of Industrial Technology, Tsukuba University of Technology, Tsukuba, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Industrial Technology, Tsukuba University of Technology, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I24254649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023633849","display_name":"Hideitsu Hino","orcid":"https://orcid.org/0000-0002-6405-4361"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideitsu Hino","raw_affiliation_strings":["Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101567870","display_name":"Kazuhiro Fukui","orcid":"https://orcid.org/0000-0002-4201-1096"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Fukui","raw_affiliation_strings":["Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5071741462"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.0341996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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":0.9998999834060669,"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":0.9998999834060669,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.992900013923645,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9901999831199646,"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":0.7786197662353516},{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.6566492319107056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6359049677848816},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.574660062789917},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.5733956694602966},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5400607585906982},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.47459670901298523},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47011128067970276},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.4658086895942688},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44010475277900696},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4385421574115753},{"id":"https://openalex.org/keywords/orthogonalization","display_name":"Orthogonalization","score":0.42197418212890625},{"id":"https://openalex.org/keywords/alphabet","display_name":"Alphabet","score":0.420576810836792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4173227548599243},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21321046352386475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18221795558929443},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.156395822763443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7786197662353516},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.6566492319107056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6359049677848816},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.574660062789917},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.5733956694602966},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5400607585906982},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.47459670901298523},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47011128067970276},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.4658086895942688},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44010475277900696},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4385421574115753},{"id":"https://openalex.org/C47559304","wikidata":"https://www.wikidata.org/wiki/Q1702189","display_name":"Orthogonalization","level":2,"score":0.42197418212890625},{"id":"https://openalex.org/C112876837","wikidata":"https://www.wikidata.org/wiki/Q837518","display_name":"Alphabet","level":2,"score":0.420576810836792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4173227548599243},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21321046352386475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18221795558929443},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.156395822763443},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isba.2016.7477238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isba.2016.7477238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1550919879","https://openalex.org/W1563088657","https://openalex.org/W1580385328","https://openalex.org/W2038621421","https://openalex.org/W2075048802","https://openalex.org/W2100235303","https://openalex.org/W2108274355","https://openalex.org/W2134684290","https://openalex.org/W2140095548","https://openalex.org/W2146221819","https://openalex.org/W2567447787","https://openalex.org/W2611484374"],"related_works":["https://openalex.org/W2005349189","https://openalex.org/W1965163197","https://openalex.org/W129617223","https://openalex.org/W2386892378","https://openalex.org/W2949490341","https://openalex.org/W1541233540","https://openalex.org/W4301514602","https://openalex.org/W2362628444","https://openalex.org/W2136529641","https://openalex.org/W2088615611"],"abstract_inverted_index":{"A":[0],"method":[1,148],"for":[2,60],"spotting":[3,82,155],"specific":[4,65],"words":[5,21,55,66,158],"in":[6,67,159],"sign":[7,160],"language":[8,161],"video":[9],"is":[10,113,137,151],"proposed.":[11],"In":[12],"classes":[13],"and":[14,36,72,101],"talks":[15],"given":[16],"using":[17,149],"Japanese":[18,47],"Sign":[19],"Language,":[20],"that":[22],"do":[23],"not":[24],"have":[25],"a":[26,77,105],"defined":[27],"sign,":[28],"such":[29],"as":[30],"the":[31,46,61,73,81,86,146],"names":[32],"of":[33,42,52,89,111,145],"people,":[34],"objects,":[35],"places,":[37],"are":[38],"represented":[39],"by":[40,84,115,131],"sets":[41],"multiple":[43,123],"characters":[44],"from":[45],"finger":[48],"alphabet.":[49],"The":[50,108,134,143],"difficulty":[51],"recognizing":[53],"these":[54],"has":[56],"created":[57],"strong":[58,127],"demand":[59],"ability":[62],"to":[63,69,75],"spot":[64],"order":[68],"help":[70],"interpreters":[71],"audience":[74],"follow":[76],"talk.":[78],"We":[79],"address":[80],"task":[83],"employing":[85],"basic":[87],"idea":[88],"temporal":[90],"regularized":[91],"canonical":[92],"correlation":[93],"analysis":[94],"(TRCCA),":[95],"which":[96],"can":[97],"simultaneously":[98],"handle":[99],"shape":[100],"motion":[102],"information":[103],"about":[104],"3D":[106],"object.":[107],"classification":[109],"accuracy":[110],"TRCCA":[112,136,141],"enhanced":[114,135],"incorporating":[116],"two":[117],"functions:":[118],"1)":[119],"parallel":[120],"processing":[121],"with":[122],"time":[124],"scales,":[125],"2)":[126],"implicit":[128],"feature":[129],"mapping":[130],"nonlinear":[132],"orthogonalization.":[133],"called":[138],"\"kernel":[139],"orthogonal":[140],"(KOTRCCA)\".":[142],"effectiveness":[144],"proposed":[147],"KOTRCCA":[150],"demonstrated":[152],"through":[153],"experiments":[154],"eight":[156],"different":[157],"videos.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}