{"id":"https://openalex.org/W4387346497","doi":"https://doi.org/10.1145/3584371.3612999","title":"A Comparison of Machine Learning Models with Data Augmentation Techniques for Skeleton-based Human Action Recognition","display_name":"A Comparison of Machine Learning Models with Data Augmentation Techniques for Skeleton-based Human Action Recognition","publication_year":2023,"publication_date":"2023-09-03","ids":{"openalex":"https://openalex.org/W4387346497","doi":"https://doi.org/10.1145/3584371.3612999"},"language":"en","primary_location":{"id":"doi:10.1145/3584371.3612999","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584371.3612999","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584371.3612999","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3584371.3612999","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085661792","display_name":"Xin Chu","orcid":"https://orcid.org/0009-0008-3806-8226"},"institutions":[{"id":"https://openalex.org/I89015989","display_name":"Dankook University","ror":"https://ror.org/058pdbn81","country_code":"KR","type":"education","lineage":["https://openalex.org/I89015989"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Chu Xin","raw_affiliation_strings":["Department of Artificial Intelligence Convergence, Dankook University, Yongin-si, Gyeonggi-do, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0008-3806-8226","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence Convergence, Dankook University, Yongin-si, Gyeonggi-do, Republic of Korea","institution_ids":["https://openalex.org/I89015989"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005559297","display_name":"Seokhwan Kim","orcid":"https://orcid.org/0009-0004-6359-590X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seokhwan Kim","raw_affiliation_strings":["Farmkit R&amp;D Center, Yongin-si, Gyeonggi-do, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0004-6359-590X","affiliations":[{"raw_affiliation_string":"Farmkit R&amp;D Center, Yongin-si, Gyeonggi-do, Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103095542","display_name":"Kyoung Shin Park","orcid":"https://orcid.org/0000-0002-9268-4141"},"institutions":[{"id":"https://openalex.org/I89015989","display_name":"Dankook University","ror":"https://ror.org/058pdbn81","country_code":"KR","type":"education","lineage":["https://openalex.org/I89015989"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyoung Shin Park","raw_affiliation_strings":["Department of Computer Engineering, Dankook University, Yongin-si, Gyeonggi-do, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-9268-4141","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Dankook University, Yongin-si, Gyeonggi-do, Republic of Korea","institution_ids":["https://openalex.org/I89015989"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085661792"],"corresponding_institution_ids":["https://openalex.org/I89015989"],"apc_list":null,"apc_paid":null,"fwci":0.471,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65152306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9962000250816345,"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/computer-science","display_name":"Computer science","score":0.7862786054611206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.722187340259552},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5914962887763977},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5516270399093628},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5133846998214722},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5096049308776855},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4901145398616791},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.48706892132759094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48236602544784546},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.46722280979156494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46445298194885254},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.453820139169693},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4426724910736084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07008656859397888}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7862786054611206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.722187340259552},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5914962887763977},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5516270399093628},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5133846998214722},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5096049308776855},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4901145398616791},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.48706892132759094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48236602544784546},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.46722280979156494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46445298194885254},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.453820139169693},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4426724910736084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07008656859397888},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584371.3612999","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584371.3612999","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584371.3612999","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3584371.3612999","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584371.3612999","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584371.3612999","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387346497.pdf","grobid_xml":"https://content.openalex.org/works/W4387346497.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2143267104","https://openalex.org/W2344034899","https://openalex.org/W2620664872","https://openalex.org/W2890429072","https://openalex.org/W2917819557","https://openalex.org/W2943173229","https://openalex.org/W2944843851","https://openalex.org/W2954996726","https://openalex.org/W2986215149","https://openalex.org/W3002916757","https://openalex.org/W3045928233","https://openalex.org/W3046296398","https://openalex.org/W3101667008","https://openalex.org/W3114238187","https://openalex.org/W3164359705","https://openalex.org/W3202535612","https://openalex.org/W4200050776","https://openalex.org/W4282928124","https://openalex.org/W4282981352","https://openalex.org/W4297539902","https://openalex.org/W4321510633"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W2334655667","https://openalex.org/W2105938841","https://openalex.org/W148178222","https://openalex.org/W2464530384","https://openalex.org/W4253358700","https://openalex.org/W2999049608","https://openalex.org/W3010741941","https://openalex.org/W3101070354","https://openalex.org/W3170431411"],"abstract_inverted_index":{"3D":[0,65,99],"skeleton":[1,30,66],"motion":[2],"recognition":[3,14],"plays":[4],"a":[5,123],"crucial":[6],"role":[7],"in":[8,79,146],"the":[9,33,37,45,63,76,83,95,141],"field":[10],"of":[11,35,39,47,85,143],"human":[12],"action":[13,147],"(HAR)":[15],"due":[16],"to":[17,29,58,74],"its":[18],"efficiency":[19],"and":[20,43,87,105,133],"reliability.":[21],"This":[22],"paper":[23],"introduces":[24],"data":[25,31,89],"augmentation":[26,49,70,90,113,120,135],"techniques":[27,71],"applied":[28,57],"with":[32],"aim":[34],"improving":[36],"accuracy":[38],"machine":[40],"learning":[41],"models":[42],"examining":[44],"effectiveness":[46],"different":[48,52,92],"methods":[50],"for":[51],"activities.":[53],"Spatial":[54],"transformations":[55],"are":[56,72],"generate":[59],"augmented":[60],"samples":[61],"from":[62],"original":[64],"sequences,":[67],"while":[68,118],"temporal":[69,77,88,112,134,144],"employed":[73],"capture":[75],"differences":[78],"motion.":[80],"We":[81],"evaluated":[82],"effects":[84],"spatial":[86,119,132],"at":[91],"levels":[93],"on":[94,126],"MSR":[96],"Daily":[97],"Activity":[98],"dataset":[100],"using":[101],"SVM,":[102],"CNN,":[103],"LSTM,":[104],"CNNLSTM":[106],"models.":[107],"The":[108],"results":[109],"show":[110],"that":[111],"significantly":[114],"improves":[115],"model":[116,127,138],"performance,":[117,139],"has":[121],"only":[122],"limited":[124],"effect":[125],"performance.":[128],"Simultaneously":[129],"applying":[130],"both":[131],"further":[136],"improved":[137],"highlighting":[140],"importance":[142],"information":[145],"sequence":[148],"data.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2023-10-05T00:00:00"}
