{"id":"https://openalex.org/W7220164480","doi":null,"title":"Dynamic Human Action Recognition and Classification Using Computer Vision","display_name":"Dynamic Human Action Recognition and Classification Using Computer Vision","publication_year":2023,"publication_date":"2023-02-18","ids":{"openalex":"https://openalex.org/W7220164480"},"language":"en","primary_location":{"id":"pmh:oai:ojs2.www.milestoneresearch.in:article/59","doi":null,"is_oa":true,"landing_page_url":"https://www.milestoneresearch.in/JOURNALS/index.php/IJHCI/article/view/59","pdf_url":null,"source":{"id":"https://openalex.org/S7407076065","display_name":"International Journal of Human Computations and Intelligence","issn_l":"2583-5696","issn":["2583-5696"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2583-5696","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.milestoneresearch.in/JOURNALS/index.php/IJHCI/article/view/59","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083918980","display_name":"Geeta C. Mara","orcid":"https://orcid.org/0000-0003-3547-9317","observed_orcids":["https://orcid.org/0000-0003-3547-9317"]},"institutions":[{"id":"https://openalex.org/I83737708","display_name":"REVA University","ror":"https://ror.org/03gtcxd54","country_code":"IN","type":"education","lineage":["https://openalex.org/I83737708"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Geeta C Mara","raw_affiliation_strings":["School of Computing & Information Technology, REVA University, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing & Information Technology, REVA University, Bangalore, India","institution_ids":["https://openalex.org/I83737708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134993756","display_name":"Syed Thouheed Ahmed","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I83737708","display_name":"REVA University","ror":"https://ror.org/03gtcxd54","country_code":"IN","type":"education","lineage":["https://openalex.org/I83737708"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Syed Thouheed Ahmed","raw_affiliation_strings":["School of Computing & Information Technology, REVA University, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing & Information Technology, REVA University, Bangalore, India","institution_ids":["https://openalex.org/I83737708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005214551","display_name":"R M Vinaya","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I83737708","display_name":"REVA University","ror":"https://ror.org/03gtcxd54","country_code":"IN","type":"education","lineage":["https://openalex.org/I83737708"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinaya R M","raw_affiliation_strings":["School of Computing & Information Technology, REVA University, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing & Information Technology, REVA University, Bangalore, India","institution_ids":["https://openalex.org/I83737708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I83737708"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"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":0.9994999766349792,"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":0.9994999766349792,"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":0.00039999998989515007,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/human-action-recognition","display_name":"human action recognition","score":0.9580000042915344},{"id":"https://openalex.org/keywords/video-classification","display_name":"video classification","score":0.8149999976158142},{"id":"https://openalex.org/keywords/2d-convolutional-neural-network","display_name":"2D convolutional neural network","score":0.9729999899864197},{"id":"https://openalex.org/keywords/moving-average","display_name":"moving average","score":0.8270000219345093},{"id":"https://openalex.org/keywords/time-series-classification","display_name":"time series classification","score":0.8820000290870667}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7662000060081482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7533000111579895},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.7365000247955322},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6406000256538391},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6315000057220459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5059999823570251},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.503000020980835},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4900999963283539},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4528999924659729},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.42669999599456787},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4156999886035919},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4034999907016754},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3946000039577484},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3840000033378601},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.33820000290870667},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2754000127315521},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.2587999999523163}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:ojs2.www.milestoneresearch.in:article/59","doi":null,"is_oa":true,"landing_page_url":"https://www.milestoneresearch.in/JOURNALS/index.php/IJHCI/article/view/59","pdf_url":null,"source":{"id":"https://openalex.org/S7407076065","display_name":"International Journal of Human Computations and Intelligence","issn_l":"2583-5696","issn":["2583-5696"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2583-5696","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ojs2.www.milestoneresearch.in:article/59","doi":null,"is_oa":true,"landing_page_url":"https://www.milestoneresearch.in/JOURNALS/index.php/IJHCI/article/view/59","pdf_url":null,"source":{"id":"https://openalex.org/S7407076065","display_name":"International Journal of Human Computations and Intelligence","issn_l":"2583-5696","issn":["2583-5696"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2583-5696","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W6940717724","https://openalex.org/W3076374634","https://openalex.org/W7150935807","https://openalex.org/W4372049183","https://openalex.org/W4300061740","https://openalex.org/W1832003755","https://openalex.org/W2981120704","https://openalex.org/W4385846179","https://openalex.org/W3122447621","https://openalex.org/W4391529076"],"abstract_inverted_index":{"Action":[0],"Recognition":[1],"is":[2],"one":[3],"of":[4,17,40,56,81,94,97,119,162],"the":[5,13,24,38,41,46,54,79,82,107,120,145,152],"time":[6,18],"series":[7,16],"classification":[8,109],"problem":[9],"where":[10],"we":[11,88,105],"analyse":[12],"data":[14],"from":[15,100],"steps":[19],"for":[20],"classifying":[21],"and":[22,61,75,150],"predicting":[23],"action":[25,67,113,153],"being":[26],"performed":[27,99],"accurately.":[28],"Video":[29],"analysis":[30],"shows":[31],"significant":[32],"improvement":[33],"as":[34],"it":[35],"can":[36,72],"predict":[37,151],"outcome":[39],"future":[42],"state":[43],"by":[44,115],"inferring":[45],"present":[47],"state.":[48],"This":[49],"has":[50,158],"been":[51],"possible":[52],"with":[53,140],"help":[55],"Computer":[57],"Vision,":[58],"Machine":[59],"Learning,":[60],"Deep":[62],"Learning":[63],"fields.":[64],"In":[65,85,102],"video-based":[66],"recognition":[68,114],"tasks,":[69],"many":[70],"actions":[71,83,98],"be":[73],"identified":[74],"inferred":[76],"based":[77],"on":[78,144],"movements":[80],"performed.":[84,154],"our":[86,103],"paper,":[87,104],"use":[89,106],"UCF50":[90],"dataset":[91],"which":[92],"consists":[93],"fifty":[95],"categories":[96],"YouTube.":[101],"video":[108,137],"model":[110,157],"to":[111,124,148],"solve":[112],"analysing":[116],"each":[117],"frame":[118,136],"videos.":[121],"We":[122],"aim":[123],"create":[125],"a":[126,134],"2D":[127],"Convolutional":[128],"Neural":[129],"Network":[130],"classifier,":[131],"then":[132],"implement":[133],"single":[135],"classifier":[138],"along":[139],"moving":[141],"average":[142],"technique":[143],"live":[146],"videos,":[147],"classify":[149],"Our":[155],"proposed":[156],"obtained":[159],"an":[160],"accuracy":[161],"98.56%.":[163]},"counts_by_year":[],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2026-10-05T00:00:00"}
