{"id":"https://openalex.org/W3004125835","doi":"https://doi.org/10.1145/3374549.3374576","title":"Detection of Taekwondo Kicks Using RGB-D Sensors","display_name":"Detection of Taekwondo Kicks Using RGB-D Sensors","publication_year":2019,"publication_date":"2019-12-09","ids":{"openalex":"https://openalex.org/W3004125835","doi":"https://doi.org/10.1145/3374549.3374576","mag":"3004125835"},"language":"en","primary_location":{"id":"doi:10.1145/3374549.3374576","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374549.3374576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Software and e-Business","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/A5080139994","display_name":"Joel C. De Goma","orcid":"https://orcid.org/0000-0001-5007-4030"},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Joel C. de Goma","raw_affiliation_strings":["School of Information Technology, Map\u00faa University, Makati City, Philippines"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Map\u00faa University, Makati City, Philippines","institution_ids":["https://openalex.org/I137967721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007363459","display_name":"Maverick S. Bustos","orcid":null},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Maverick S. Bustos","raw_affiliation_strings":["School of Information Technology, Map\u00faa University, Makati City, Philippines"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Map\u00faa University, Makati City, Philippines","institution_ids":["https://openalex.org/I137967721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029829376","display_name":"Josemaria A. Sebastian","orcid":null},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Josemaria A. Sebastian","raw_affiliation_strings":["School of Information Technology, Map\u00faa University, Makati City, Philippines"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Map\u00faa University, Makati City, Philippines","institution_ids":["https://openalex.org/I137967721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053709346","display_name":"Julio Jerison E. Macrohon","orcid":"https://orcid.org/0000-0003-2738-4932"},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Julio Jerison E. Macrohon","raw_affiliation_strings":["School of Information Technology, Map\u00faa University, Makati City, Philippines"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Map\u00faa University, Makati City, Philippines","institution_ids":["https://openalex.org/I137967721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080139994"],"corresponding_institution_ids":["https://openalex.org/I137967721"],"apc_list":null,"apc_paid":null,"fwci":0.3387,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65257218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"129","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9724000096321106,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9724000096321106,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9689000248908997,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9549000263214111,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.5729628801345825},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4868244528770447},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4466283619403839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43775779008865356},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3353036642074585}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5729628801345825},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4868244528770447},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4466283619403839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43775779008865356},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3353036642074585}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3374549.3374576","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374549.3374576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Software and e-Business","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1910567995","https://openalex.org/W2030540300","https://openalex.org/W2034244045","https://openalex.org/W2107659598","https://openalex.org/W2139648526","https://openalex.org/W2275713145","https://openalex.org/W2295856981","https://openalex.org/W2407428148","https://openalex.org/W2534967544","https://openalex.org/W2612647826"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2170022336"],"abstract_inverted_index":{"Sports":[0,37],"have":[1,15,44],"been":[2],"invested":[3],"with":[4,84],"so":[5],"many":[6],"resources":[7],"to":[8,14,56,86],"be":[9,114,127],"competitive":[10],"and":[11,13,18,43,53,73,91,102],"entertaining":[12],"injury":[16],"prevention":[17],"analysis":[19],"or":[20],"improvement":[21],"of":[22,67,93,119,136,145,147],"the":[23,76,87,106,110,117,148],"athlete's":[24],"performance.":[25],"In":[26,60],"Human":[27],"Action":[28],"Recognition,":[29],"there":[30],"is":[31],"a":[32,129,133,139],"limited":[33],"study":[34],"on":[35,75],"sports.":[36],"moves":[38],"are":[39],"faster":[40],"in":[41],"execution":[42],"low":[45],"inter":[46],"class":[47],"variability":[48],"which":[49],"produces":[50],"noisy":[51],"feature":[52],"ambiguity":[54],"compared":[55],"daily":[57],"human":[58],"actions.":[59],"this":[61],"study,":[62],"we":[63],"proposed":[64],"an":[65],"approach":[66],"using":[68],"skeletal":[69],"data":[70],"from":[71],"Kinect":[72],"focusing":[74],"preprocessing":[77,146],"process,":[78],"specifically":[79],"reducing":[80],"irrelevant":[81],"skeleton":[82],"joints":[83,137],"regard":[85],"action":[88],"being":[89],"performed":[90],"shifting":[92],"origin.":[94],"The":[95,124],"proponents":[96],"would":[97,112],"also":[98],"use":[99,118,132],"key":[100],"poses":[101],"atomic":[103],"actions":[104,111],"as":[105],"segmentation":[107],"process.":[108],"Lastly,":[109],"then":[113],"classified":[115],"by":[116],"Hidden":[120],"Markov":[121],"Models":[122],"(HMM).":[123],"evaluation":[125],"will":[126],"between":[128],"model":[130,140],"that":[131,141],"full":[134],"set":[135],"versus":[138],"undergoes":[142],"our":[143],"methodology":[144],"data.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
