{"id":"https://openalex.org/W2550606961","doi":"https://doi.org/10.1109/spcom.2016.7746614","title":"ARRNET: Action recognition through recurrent neural networks","display_name":"ARRNET: Action recognition through recurrent neural networks","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2550606961","doi":"https://doi.org/10.1109/spcom.2016.7746614","mag":"2550606961"},"language":"en","primary_location":{"id":"doi:10.1109/spcom.2016.7746614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom.2016.7746614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Signal Processing and Communications (SPCOM)","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/A5017434610","display_name":"Kumaresh Krishnan","orcid":"https://orcid.org/0009-0008-1046-0576"},"institutions":[{"id":"https://openalex.org/I181514455","display_name":"International Institute of Information Technology Bangalore","ror":"https://ror.org/05h9eqy10","country_code":"IN","type":"education","lineage":["https://openalex.org/I181514455"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kumaresh Krishnan","raw_affiliation_strings":["International Institute of Information Technology, Bangalore"],"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, Bangalore","institution_ids":["https://openalex.org/I181514455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088573375","display_name":"Nikita Prabhu","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nikita Prabhu","raw_affiliation_strings":["Indian Institute of Science"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113777904","display_name":"R. Venkatesh Babu","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Venkatesh Babu","raw_affiliation_strings":["Indian Institute of Science"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017434610"],"corresponding_institution_ids":["https://openalex.org/I181514455"],"apc_list":null,"apc_paid":null,"fwci":0.5068,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73788056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955999851226807,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9879000186920166,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.8598371148109436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8234386444091797},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6722873449325562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6507315039634705},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.6169587969779968},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6019694805145264},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5967115163803101},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.548944354057312},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.50520259141922},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4670770466327667},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.4539388120174408},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4533076882362366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36273065209388733}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.8598371148109436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8234386444091797},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6722873449325562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6507315039634705},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.6169587969779968},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6019694805145264},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5967115163803101},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.548944354057312},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.50520259141922},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4670770466327667},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.4539388120174408},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4533076882362366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36273065209388733},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/spcom.2016.7746614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom.2016.7746614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Signal Processing and Communications (SPCOM)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.iisc.ac.in:56150","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196309","display_name":"NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1591801644","https://openalex.org/W1596216457","https://openalex.org/W1912967058","https://openalex.org/W1923332106","https://openalex.org/W1947481528","https://openalex.org/W1983364832","https://openalex.org/W2020273436","https://openalex.org/W2034014085","https://openalex.org/W2054041160","https://openalex.org/W2064675550","https://openalex.org/W2073140603","https://openalex.org/W2107878631","https://openalex.org/W2126574503","https://openalex.org/W2137591992","https://openalex.org/W2143612262","https://openalex.org/W2160131906","https://openalex.org/W2166713742","https://openalex.org/W6635446068","https://openalex.org/W6635654010","https://openalex.org/W6684511099"],"related_works":["https://openalex.org/W846669277","https://openalex.org/W2966879630","https://openalex.org/W2739009097","https://openalex.org/W2792312609","https://openalex.org/W2914147532","https://openalex.org/W2997180306","https://openalex.org/W2160451571","https://openalex.org/W2739693977","https://openalex.org/W3008508528","https://openalex.org/W2777985171","https://openalex.org/W2768825672","https://openalex.org/W2405546895","https://openalex.org/W2342046781","https://openalex.org/W1955904464","https://openalex.org/W2914291113","https://openalex.org/W2891969803","https://openalex.org/W2765426175","https://openalex.org/W2943854869","https://openalex.org/W3011398392","https://openalex.org/W2890324928"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,24,49],"novel":[6],"method":[7],"for":[8,98],"recognition":[9,85],"of":[10,33,45,56],"human":[11],"actions":[12,57],"from":[13,48],"joint":[14,39],"points.":[15],"Our":[16,70],"approach":[17],"utilizes":[18],"Long":[19],"Short":[20],"Term":[21],"Memory":[22],"(LSTM),":[23],"Recurrent":[25],"Neural":[26],"Network":[27],"(RNN)":[28],"variant":[29],"to":[30],"keep":[31],"track":[32],"and":[34,74],"train":[35],"the":[36,65,95],"network":[37],"on":[38,72,87,94,100],"information":[40],"across":[41],"an":[42],"ordered":[43],"sample":[44],"15":[46],"frames":[47],"video.":[50],"We":[51,90],"ensure":[52],"that":[53],"important":[54],"properties":[55],"like":[58],"left":[59],"right":[60],"invariance":[61],"are":[62],"learnt":[63],"by":[64],"system":[66],"through":[67],"data":[68],"augmentation.":[69],"experiments":[71],"sub-JHMDB":[73],"Penn":[75],"Action":[76],"datasets":[77],"provide":[78],"encouraging":[79],"results":[80,96],"which":[81],"surpass":[82],"previous":[83],"action":[84],"models":[86],"these":[88,101],"datasets.":[89,102],"analyse":[91],"our":[92],"model":[93],"obtained":[97],"tests":[99]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
