{"id":"https://openalex.org/W3201421894","doi":"https://doi.org/10.3233/faia210037","title":"Skeleton-Based Action Recognition with Joint Coordinates as Feature Using Neural Oblivious Decision Ensembles","display_name":"Skeleton-Based Action Recognition with Joint Coordinates as Feature Using Neural Oblivious Decision Ensembles","publication_year":2021,"publication_date":"2021-09-08","ids":{"openalex":"https://openalex.org/W3201421894","doi":"https://doi.org/10.3233/faia210037","mag":"3201421894"},"language":"en","primary_location":{"id":"doi:10.3233/faia210037","is_oa":false,"landing_page_url":"https://doi.org/10.3233/faia210037","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5030776421","display_name":"Fakhrul Aniq Hakimi Nasrul \u2019Alam","orcid":null},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Fakhrul Aniq Hakimi Nasrul \u2019Alam","raw_affiliation_strings":["Centre for Artificial Intelligence and Robotics iKohza, Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence and Robotics iKohza, Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081758518","display_name":"Mohd Ibrahim Shapiai","orcid":"https://orcid.org/0000-0003-0594-8231"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohd. Ibrahim Shapiai","raw_affiliation_strings":["Centre for Artificial Intelligence and Robotics iKohza, Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence and Robotics iKohza, Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082166185","display_name":"Uzma Batool","orcid":"https://orcid.org/0000-0003-0589-5643"},"institutions":[{"id":"https://openalex.org/I192891849","display_name":"University of Wah","ror":"https://ror.org/020we4134","country_code":"PK","type":"education","lineage":["https://openalex.org/I192891849"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Uzma Batool","raw_affiliation_strings":["Department of Computer Science, University of Wah, Wah Cantt, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Wah, Wah Cantt, Pakistan","institution_ids":["https://openalex.org/I192891849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016580440","display_name":"Ahmad Kamal Ramli","orcid":"https://orcid.org/0000-0003-1496-3679"},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ahmad Kamal Ramli","raw_affiliation_strings":["Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Pahang"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Pahang","institution_ids":["https://openalex.org/I82724352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013397942","display_name":"Khairil Ashraf Elias","orcid":null},"institutions":[{"id":"https://openalex.org/I2801517398","display_name":"Islamic University College","ror":"https://ror.org/05wm9y343","country_code":"GH","type":"education","lineage":["https://openalex.org/I2801517398"]},{"id":"https://openalex.org/I3132398649","display_name":"International Islamic College","ror":"https://ror.org/01hssw521","country_code":"MY","type":"education","lineage":["https://openalex.org/I3132398649"]}],"countries":["GH","MY"],"is_corresponding":false,"raw_author_name":"Khairil Ashraf Elias","raw_affiliation_strings":["Faculty of Information Science & Technology, Selangor International Islamic University College"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Science & Technology, Selangor International Islamic University College","institution_ids":["https://openalex.org/I3132398649","https://openalex.org/I2801517398"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5030776421"],"corresponding_institution_ids":["https://openalex.org/I4576418"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20973482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9976999759674072,"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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9898999929428101,"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/skeleton","display_name":"Skeleton (computer programming)","score":0.7995626330375671},{"id":"https://openalex.org/keywords/human-skeleton","display_name":"Human skeleton","score":0.7230912446975708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7080127000808716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7076432704925537},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6072835922241211},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5743220448493958},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.458927184343338},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.42748984694480896},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4117845296859741},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3846690058708191}],"concepts":[{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.7995626330375671},{"id":"https://openalex.org/C2777846634","wikidata":"https://www.wikidata.org/wiki/Q9621","display_name":"Human skeleton","level":2,"score":0.7230912446975708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7080127000808716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7076432704925537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6072835922241211},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5743220448493958},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.458927184343338},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.42748984694480896},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4117845296859741},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3846690058708191},{"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/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia210037","is_oa":false,"landing_page_url":"https://doi.org/10.3233/faia210037","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2953562271","https://openalex.org/W1979723775","https://openalex.org/W2950785639","https://openalex.org/W2126881935","https://openalex.org/W4312993112","https://openalex.org/W2999049608","https://openalex.org/W3101070354","https://openalex.org/W3010741941","https://openalex.org/W3135266094","https://openalex.org/W3170431411"],"abstract_inverted_index":{"Recognition":[0],"of":[1,29,112,145,155,166,175],"human":[2,70],"behavior":[3],"is":[4,25,127,217],"critical":[5],"in":[6,22,101,160,163],"video":[7,11,23],"monitoring,":[8],"human-computer":[9],"interaction,":[10],"comprehension,":[12],"and":[13,32,61,168,240],"virtual":[14],"reality.":[15],"The":[16,46,95,125,152,178],"key":[17],"problem":[18],"with":[19],"behaviour":[20],"recognition":[21,53],"surveillance":[24],"the":[26,42,73,76,93,110,113,136,142,156,164,173,176,189,204,209,236],"high":[27],"degree":[28],"variation":[30],"between":[31],"within":[33],"subjects.":[34],"Numerous":[35],"studies":[36],"have":[37],"suggested":[38],"background-insensitive":[39],"skeleton-based":[40,51],"as":[41,72,92,227,235],"proven":[43],"detection":[44],"technique.":[45],"present":[47],"state-of-the-art":[48,210],"approaches":[49,211],"to":[50,75,80,229],"action":[52,122],"rely":[54],"primarily":[55],"on":[56,87,135,196],"Recurrent":[57],"Neural":[58,63,114],"Networks":[59,64],"(RNN)":[60],"Convolution":[62],"(CNN).":[65],"Both":[66],"methods":[67],"take":[68],"dynamic":[69],"skeleton":[71,82,89,96,126,144,157],"input":[74],"network.":[77,124],"We":[78],"chose":[79],"handle":[81],"data":[83,180,225],"differently,":[84],"relying":[85],"solely":[86],"its":[88,230],"joint":[90,153],"coordinates":[91,154],"input.":[94],"joints\u2019":[97],"positions":[98],"are":[99,158,181],"defined":[100],"(x,":[102],"y)":[103],"coordinates.":[104],"In":[105,214],"this":[106],"paper,":[107],"we":[108,192],"investigated":[109],"incorporation":[111],"Oblivious":[115],"Decision":[116],"Ensemble":[117],"(NODE)":[118],"into":[119,183],"our":[120],"proposed":[121,190,205],"classifier":[123],"extracted":[128],"using":[129],"a":[130,161,218],"pose":[131],"estimation":[132],"technique":[133,222],"based":[134],"Residual":[137],"Network":[138],"(ResNet).":[139],"It":[140],"extracts":[141],"2D":[143],"18":[146],"joints":[147],"for":[148,185,223],"each":[149],"detected":[150],"body.":[151],"stored":[159],"table":[162],"form":[165],"rows":[167],"columns.":[169],"Each":[170],"row":[171],"represents":[172],"position":[174],"joints.":[177],"structured":[179,224],"fed":[182],"NODE":[184,216],"label":[186],"prediction.":[187],"With":[188],"network,":[191],"obtain":[193],"97.5%":[194],"accuracy":[195],"RealWorld":[197],"(HAR)":[198],"dataset.":[199],"Experimental":[200],"results":[201],"show":[202],"that":[203],"network":[206],"outperforms":[207],"one":[208],"by":[212],"1.3%.":[213],"conclusion,":[215],"promising":[219],"deep":[220],"learning":[221,232],"analysis":[226],"compared":[228],"machine":[231],"counterparts":[233],"such":[234],"GBDT":[237],"packages;":[238],"Catboost,":[239],"XGBoost.":[241]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
