{"id":"https://openalex.org/W2557043455","doi":"https://doi.org/10.1109/icitcs.2016.7740347","title":"Kinematic Constraint Method for Human Gesture Recognition Based on Weighted Dynamic Time Warping","display_name":"Kinematic Constraint Method for Human Gesture Recognition Based on Weighted Dynamic Time Warping","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2557043455","doi":"https://doi.org/10.1109/icitcs.2016.7740347","mag":"2557043455"},"language":"en","primary_location":{"id":"doi:10.1109/icitcs.2016.7740347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icitcs.2016.7740347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 6th International Conference on IT Convergence and Security (ICITCS)","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/A5012685271","display_name":"Yu\u2010Cheol Lee","orcid":"https://orcid.org/0000-0003-0771-8288"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yu-Cheol Lee","raw_affiliation_strings":["Senior and Princi-ple Researchers of Intelligent Cognitive Technology Research Department, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Senior and Princi-ple Researchers of Intelligent Cognitive Technology Research Department, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100676670","display_name":"Jaeyeon Lee","orcid":"https://orcid.org/0000-0003-4633-1641"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaeyeon Lee","raw_affiliation_strings":["Senior and Princi-ple Researchers of Intelligent Cognitive Technology Research Department, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Senior and Princi-ple Researchers of Intelligent Cognitive Technology Research Department, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012685271"],"corresponding_institution_ids":["https://openalex.org/I142401562"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67610385,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/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":0.9987999796867371,"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/dynamic-time-warping","display_name":"Dynamic time warping","score":0.9204245209693909},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.8457764387130737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.761471152305603},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.7453804612159729},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.7113835215568542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6693660616874695},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6590666770935059},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5450300574302673},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.520527720451355},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4296109676361084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39250054955482483},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3431355953216553},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.146112859249115}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.9204245209693909},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8457764387130737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.761471152305603},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.7453804612159729},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.7113835215568542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6693660616874695},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6590666770935059},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5450300574302673},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.520527720451355},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4296109676361084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39250054955482483},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3431355953216553},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.146112859249115},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icitcs.2016.7740347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icitcs.2016.7740347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 6th International Conference on IT Convergence and Security (ICITCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1550277507","https://openalex.org/W1964403653","https://openalex.org/W1983364832","https://openalex.org/W2100091923","https://openalex.org/W2115096495","https://openalex.org/W2126698653","https://openalex.org/W2158301611","https://openalex.org/W2182848507","https://openalex.org/W2285975378","https://openalex.org/W6632974146","https://openalex.org/W6675094719"],"related_works":["https://openalex.org/W2315394208","https://openalex.org/W72718568","https://openalex.org/W2318081358","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2624789289","https://openalex.org/W3147379364","https://openalex.org/W2032462055","https://openalex.org/W2010878661","https://openalex.org/W2063512338"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,18,104,217],"constraint":[4],"method":[5,81,191],"based":[6,128],"on":[7,129],"the":[8,12,39,46,49,54,64,70,78,86,97,101,118,122,125,130,141,145,153,159,167,177,180,189,194,201,208,213,223,227],"kinematics":[9],"to":[10,37,45,68,175,200],"improve":[11,152],"accuracy":[13,112,154],"of":[14,28,42,48,56,74,100,133,155,173,179,196,219],"gesture":[15,29,65,87,156,197],"recognition":[16,30,66,88,157],"using":[17,31,89,158],"weighted":[19,79,107,160,203],"dynamic":[20],"time":[21],"warping":[22],"(DTW)":[23],"algorithm.":[24,162],"The":[25,106,184],"traditional":[26],"approaches":[27],"2D":[32],"images":[33],"are":[34],"some":[35],"limitations":[36],"detect":[38],"certain":[40,146],"actions":[41],"human":[43],"due":[44],"lack":[47],"full":[50],"motion":[51,72,91,102,209],"data.":[52],"As":[53],"development":[55],"3D":[57,71,90,214,229],"depth":[58],"sensors,":[59],"it":[60,94],"is":[61,82,110,115],"possible":[62],"for":[63,85],"technology":[67],"use":[69],"data":[73,92,210],"human.":[75],"In":[76,136],"particular,":[77],"DTW":[80,161,204],"commonly":[83],"used":[84],"since":[93],"can":[95,192],"consider":[96],"sequential":[98],"changes":[99],"in":[103],"timeline.":[105],"DTW,":[108],"however,":[109],"an":[111],"problem":[113],"that":[114,149,188],"frequently":[116],"identifying":[117],"false-":[119],"positive":[120],"and":[121,226],"true-negative":[123],"about":[124],"complex":[126],"gestures":[127,147,174],"timely":[131],"stream":[132],"motions":[134],"only.":[135],"this":[137],"paper,":[138],"we":[139,150,164],"proposed":[140,181,190],"kinematic":[142,182],"constraints":[143],"generating":[144],"so":[148],"could":[151],"Finally,":[163],"carried":[165],"out":[166],"experimental":[168,185],"test":[169],"with":[170],"four":[171],"types":[172],"evaluate":[176],"performance":[178],"constraints.":[183],"results":[186],"showed":[187],"enhance":[193],"precision":[195],"detection":[198],"compared":[199],"standard":[202],"algorithm":[205],"even":[206],"though":[207],"captured":[211],"by":[212],"sensors":[215],"include":[216],"lot":[218],"noises":[220],"such":[221],"as":[222],"occlusive":[224],"movements":[225],"ambiguous":[228],"measurements.":[230]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
