{"id":"https://openalex.org/W2146141351","doi":"https://doi.org/10.1109/icme.2004.1394431","title":"Gesture recognition approach for sign language using curvature scale space and hidden Markov model","display_name":"Gesture recognition approach for sign language using curvature scale space and hidden Markov model","publication_year":2005,"publication_date":"2005-03-21","ids":{"openalex":"https://openalex.org/W2146141351","doi":"https://doi.org/10.1109/icme.2004.1394431","mag":"2146141351"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2004.1394431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2004.1394431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)","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/A5038550838","display_name":"Chin\u2010Chen Chang","orcid":"https://orcid.org/0000-0002-7319-5780"},"institutions":[{"id":"https://openalex.org/I59460038","display_name":"Chung Hua University","ror":"https://ror.org/01yzz0f51","country_code":"TW","type":"education","lineage":["https://openalex.org/I59460038"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chin-Chen Chang","raw_affiliation_strings":["Department of Information Management, Chung Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Management, Chung Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I59460038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075132523","display_name":"Chung-Mou Pengwu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Mou Pengwu","raw_affiliation_strings":["Advanced Technology Center Computer & Communications Research Laboratories, Industrial Technology and Research Institute, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Technology Center Computer & Communications Research Laboratories, Industrial Technology and Research Institute, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210148468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8714,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85922113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1187","last_page":"1190"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9850999712944031,"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":0.9815000295639038,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.9028727412223816},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.7875069975852966},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.7633544206619263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7368460893630981},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.6933661103248596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5957612991333008},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5470046997070312},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5205458402633667},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4721258580684662},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.45457738637924194},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.42682453989982605},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4192545413970947},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.41174155473709106},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1763533353805542},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07075172662734985}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.9028727412223816},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.7875069975852966},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7633544206619263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7368460893630981},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.6933661103248596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5957612991333008},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5470046997070312},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5205458402633667},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4721258580684662},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.45457738637924194},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.42682453989982605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4192545413970947},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.41174155473709106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1763533353805542},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07075172662734985},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2004.1394431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2004.1394431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1008.6127","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1008.6127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mirlab.org/conference_papers/International_Conference/ICME%202004/html/papers/P46539.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"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":15,"referenced_works":["https://openalex.org/W1527737189","https://openalex.org/W1950116642","https://openalex.org/W2016940542","https://openalex.org/W2052277674","https://openalex.org/W2072738093","https://openalex.org/W2103936394","https://openalex.org/W2122827492","https://openalex.org/W2125834953","https://openalex.org/W2125838338","https://openalex.org/W2126698653","https://openalex.org/W2143392823","https://openalex.org/W2152892393","https://openalex.org/W2170308018","https://openalex.org/W2170805580","https://openalex.org/W6641022070"],"related_works":["https://openalex.org/W4308478915","https://openalex.org/W4389049376","https://openalex.org/W1986488374","https://openalex.org/W3040456104","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2028966255","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298"],"abstract_inverted_index":{"The":[0],"work":[1],"presents":[2],"a":[3,40,48],"gesture":[4],"recognition":[5],"approach":[6,107],"for":[7,54,99,110],"sign":[8,100,111],"language":[9,101,112],"using":[10],"curvature":[11],"scale":[12,25],"space":[13],"(CSS)":[14],"and":[15,26,50,62,86,94],"hidden":[16],"Markov":[17],"model":[18],"(HMM).":[19],"First,":[20],"we":[21,38,78],"use":[22],"the":[23,32,57,63,66,80,90,97,105],"translation,":[24],"rotation-invariant":[27],"CSS":[28,45,58,68],"descriptor":[29],"to":[30,43,82],"characterize":[31],"hand":[33,72,84,92],"shapes":[34,93],"of":[35,65,70,96],"gestures.":[36],"Then,":[37],"propose":[39],"feature-preserving":[41],"algorithm":[42],"allocate":[44],"features":[46,59,69],"into":[47],"one-dimensional":[49],"fixed-sized":[51],"feature":[52],"vector":[53],"HMM":[55,81],"since":[56],"are":[60],"two-dimensional":[61],"number":[64],"extracted":[67],"each":[71],"shape":[73,85],"is":[74],"not":[75],"fixed.":[76],"Finally,":[77],"apply":[79],"determine":[83],"trajectory":[87],"transitions":[88],"among":[89],"different":[91],"trajectories":[95],"gestures":[98],"identification.":[102],"Results":[103],"show":[104],"proposed":[106],"performs":[108],"well":[109],"recognition.":[113]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
