{"id":"https://openalex.org/W4391148592","doi":"https://doi.org/10.1109/skima59232.2023.10387342","title":"Kun Khmer Posture Recognition Using Body Landmarks: A Comparative Experiment","display_name":"Kun Khmer Posture Recognition Using Body Landmarks: A Comparative Experiment","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4391148592","doi":"https://doi.org/10.1109/skima59232.2023.10387342"},"language":"en","primary_location":{"id":"doi:10.1109/skima59232.2023.10387342","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/skima59232.2023.10387342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","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/A5101752407","display_name":"Sophea Prum","orcid":"https://orcid.org/0000-0002-4171-2595"},"institutions":[{"id":"https://openalex.org/I186365177","display_name":"Institute of Technology of Cambodia","ror":"https://ror.org/054z67s11","country_code":"KH","type":"education","lineage":["https://openalex.org/I186365177"]},{"id":"https://openalex.org/I3129249430","display_name":"University of Cambodia","ror":"https://ror.org/025e3rc84","country_code":"KH","type":"education","lineage":["https://openalex.org/I3129249430"]}],"countries":["KH"],"is_corresponding":true,"raw_author_name":"Sophea Prum","raw_affiliation_strings":["Cambodia University of Technology and Science,Faculty of Engineering,Phnom Penh,Cambodia","Faculty of Engineering, Cambodia University of Technology and Science, Phnom Penh, Cambodia"],"affiliations":[{"raw_affiliation_string":"Cambodia University of Technology and Science,Faculty of Engineering,Phnom Penh,Cambodia","institution_ids":["https://openalex.org/I186365177","https://openalex.org/I3129249430"]},{"raw_affiliation_string":"Faculty of Engineering, Cambodia University of Technology and Science, Phnom Penh, Cambodia","institution_ids":["https://openalex.org/I186365177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093772626","display_name":"Cholsa Kosal","orcid":null},"institutions":[{"id":"https://openalex.org/I3129249430","display_name":"University of Cambodia","ror":"https://ror.org/025e3rc84","country_code":"KH","type":"education","lineage":["https://openalex.org/I3129249430"]},{"id":"https://openalex.org/I186365177","display_name":"Institute of Technology of Cambodia","ror":"https://ror.org/054z67s11","country_code":"KH","type":"education","lineage":["https://openalex.org/I186365177"]}],"countries":["KH"],"is_corresponding":false,"raw_author_name":"Cholsa Kosal","raw_affiliation_strings":["Cambodia University of Technology and Science,Faculty of Engineering,Phnom Penh,Cambodia","Faculty of Engineering, Cambodia University of Technology and Science, Phnom Penh, Cambodia"],"affiliations":[{"raw_affiliation_string":"Cambodia University of Technology and Science,Faculty of Engineering,Phnom Penh,Cambodia","institution_ids":["https://openalex.org/I186365177","https://openalex.org/I3129249430"]},{"raw_affiliation_string":"Faculty of Engineering, Cambodia University of Technology and Science, Phnom Penh, Cambodia","institution_ids":["https://openalex.org/I186365177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093772627","display_name":"Bunnarath Saroeun","orcid":null},"institutions":[{"id":"https://openalex.org/I3129249430","display_name":"University of Cambodia","ror":"https://ror.org/025e3rc84","country_code":"KH","type":"education","lineage":["https://openalex.org/I3129249430"]},{"id":"https://openalex.org/I186365177","display_name":"Institute of Technology of Cambodia","ror":"https://ror.org/054z67s11","country_code":"KH","type":"education","lineage":["https://openalex.org/I186365177"]}],"countries":["KH"],"is_corresponding":false,"raw_author_name":"Bunnarath Saroeun","raw_affiliation_strings":["Cambodia University of Technology and Science,Faculty of Engineering,Phnom Penh,Cambodia","Faculty of Engineering, Cambodia University of Technology and Science, Phnom Penh, Cambodia"],"affiliations":[{"raw_affiliation_string":"Cambodia University of Technology and Science,Faculty of Engineering,Phnom Penh,Cambodia","institution_ids":["https://openalex.org/I186365177","https://openalex.org/I3129249430"]},{"raw_affiliation_string":"Faculty of Engineering, Cambodia University of Technology and Science, Phnom Penh, Cambodia","institution_ids":["https://openalex.org/I186365177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101752407"],"corresponding_institution_ids":["https://openalex.org/I186365177","https://openalex.org/I3129249430"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19065039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"243","last_page":"248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9803000092506409,"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/T13730","display_name":"Martial Arts: Techniques, Psychology, and Education","score":0.9731000065803528,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7831189632415771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7051471471786499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6781348586082458},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6562044620513916},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5968552231788635},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5808250904083252},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5576032400131226},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5567382574081421},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.48602181673049927},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4582561254501343},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44578444957733154},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.41540178656578064},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3217829465866089},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16158118844032288},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.07478022575378418}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7831189632415771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7051471471786499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6781348586082458},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6562044620513916},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5968552231788635},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5808250904083252},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5576032400131226},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5567382574081421},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.48602181673049927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4582561254501343},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44578444957733154},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.41540178656578064},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3217829465866089},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16158118844032288},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.07478022575378418},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/skima59232.2023.10387342","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/skima59232.2023.10387342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W28988658","https://openalex.org/W1535753778","https://openalex.org/W1981781955","https://openalex.org/W2004147962","https://openalex.org/W2088794999","https://openalex.org/W2105101328","https://openalex.org/W2113325037","https://openalex.org/W2124833832","https://openalex.org/W2214112335","https://openalex.org/W2476501661","https://openalex.org/W2551239383","https://openalex.org/W2559085405","https://openalex.org/W2560940104","https://openalex.org/W2765534921","https://openalex.org/W2776217220","https://openalex.org/W2895457201","https://openalex.org/W2916798096","https://openalex.org/W2962830212","https://openalex.org/W2963402313","https://openalex.org/W2963474899","https://openalex.org/W2979930345","https://openalex.org/W2986293020","https://openalex.org/W2997591247","https://openalex.org/W3033096279","https://openalex.org/W3048820869","https://openalex.org/W3172013121","https://openalex.org/W3177493543","https://openalex.org/W3182313452","https://openalex.org/W3195646198","https://openalex.org/W4287755748","https://openalex.org/W4292787291","https://openalex.org/W4308438510","https://openalex.org/W4308933760","https://openalex.org/W4360995169"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W4386690025","https://openalex.org/W2885778889","https://openalex.org/W4310224730","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856"],"abstract_inverted_index":{"In":[0],"the":[1,12,89],"context":[2],"of":[3,14,86,100],"Kun":[4,51],"Khmer,":[5],"a":[6,43,83],"traditional":[7],"combat":[8],"technique":[9],"in":[10],"Cambodia,":[11],"challenge":[13],"correcting":[15],"trainees'":[16],"postures":[17,53],"and":[18,28,54,65,76,98,102],"movements":[19,32],"is":[20],"significant":[21],"due":[22],"to":[23,37,49],"its":[24],"impact":[25],"on":[26],"performance":[27],"outcomes.":[29],"Moreover,":[30],"incorrect":[31],"during":[33],"training":[34],"can":[35],"lead":[36],"physical":[38],"injuries.":[39],"This":[40],"paper":[41],"presents":[42],"machine":[44],"learning-based":[45],"system":[46],"that":[47],"aims":[48],"recognize":[50],"Khmer":[52],"potentially":[55],"facilitate":[56],"posture":[57],"correction.":[58],"The":[59],"proposed":[60],"solution":[61],"utilizes":[62],"anatomical":[63],"landmarks":[64],"explores":[66],"multiple":[67],"classifiers,":[68],"including":[69],"Logistic":[70],"Regression,":[71],"Random":[72],"Forest,":[73],"Gradient":[74],"Boosting,":[75],"Support":[77,90],"Vector":[78,91],"Machine.":[79],"Experimental":[80],"results":[81],"demonstrate":[82],"recognition":[84],"rate":[85],"96.32%":[87,103],"using":[88],"Machine":[92],"classifier,":[93],"with":[94],"an":[95],"average":[96],"recall":[97],"precision":[99],"96.22%":[101],"respectively.":[104]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}