{"id":"https://openalex.org/W4294253316","doi":"https://doi.org/10.3390/s22176595","title":"MEST: An Action Recognition Network with Motion Encoder and Spatio-Temporal Module","display_name":"MEST: An Action Recognition Network with Motion Encoder and Spatio-Temporal Module","publication_year":2022,"publication_date":"2022-09-01","ids":{"openalex":"https://openalex.org/W4294253316","doi":"https://doi.org/10.3390/s22176595","pmid":"https://pubmed.ncbi.nlm.nih.gov/36081054"},"language":"en","primary_location":{"id":"doi:10.3390/s22176595","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22176595","pdf_url":"https://www.mdpi.com/1424-8220/22/17/6595/pdf?version=1661994656","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/17/6595/pdf?version=1661994656","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100388126","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-2028-048X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["Department of Computer Science, Sichuan University, Chengdu 610017, China"],"raw_orcid":"https://orcid.org/0000-0002-2028-048X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Sichuan University, Chengdu 610017, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100388126"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.0148,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77098763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"22","issue":"17","first_page":"6595","last_page":"6595"},"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":0.9970999956130981,"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":0.9968000054359436,"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":0.7673652172088623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6233607530593872},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5784409642219543},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5745024681091309},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4970839321613312},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.47267207503318787},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4606016278266907},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4468093812465668},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43235525488853455},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4217839241027832},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41961777210235596},{"id":"https://openalex.org/keywords/standardization","display_name":"Standardization","score":0.415926456451416},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41198110580444336},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2694089412689209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7673652172088623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6233607530593872},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5784409642219543},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5745024681091309},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4970839321613312},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.47267207503318787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4606016278266907},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4468093812465668},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43235525488853455},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4217839241027832},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41961777210235596},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.415926456451416},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41198110580444336},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2694089412689209},{"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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22176595","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22176595","pdf_url":"https://www.mdpi.com/1424-8220/22/17/6595/pdf?version=1661994656","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36081054","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36081054","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:2fef7ac32a934655a4df5375d945848e","is_oa":true,"landing_page_url":"https://doaj.org/article/2fef7ac32a934655a4df5375d945848e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 17, p 6595 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/17/6595/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22176595","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 17; Pages: 6595","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9460449","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9460449","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22176595","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22176595","pdf_url":"https://www.mdpi.com/1424-8220/22/17/6595/pdf?version=1661994656","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4294253316.pdf","grobid_xml":"https://content.openalex.org/works/W4294253316.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1836465849","https://openalex.org/W2126579184","https://openalex.org/W2342662179","https://openalex.org/W2507009361","https://openalex.org/W2616247523","https://openalex.org/W2625366777","https://openalex.org/W2770804203","https://openalex.org/W2799176631","https://openalex.org/W2898211994","https://openalex.org/W2901751978","https://openalex.org/W2963091558","https://openalex.org/W2963155035","https://openalex.org/W2963524571","https://openalex.org/W2963645879","https://openalex.org/W2963820951","https://openalex.org/W2963903710","https://openalex.org/W2971866817","https://openalex.org/W2977076530","https://openalex.org/W3012362498","https://openalex.org/W3034600407","https://openalex.org/W3035303837","https://openalex.org/W3102564565","https://openalex.org/W3128452088","https://openalex.org/W3133744066","https://openalex.org/W3175419009","https://openalex.org/W3181001423","https://openalex.org/W3202701980","https://openalex.org/W4214727094","https://openalex.org/W4281707115","https://openalex.org/W4286433333","https://openalex.org/W4312336798"],"related_works":["https://openalex.org/W2378767206","https://openalex.org/W1540871478","https://openalex.org/W328308450","https://openalex.org/W282641168","https://openalex.org/W2376963063","https://openalex.org/W2066396794","https://openalex.org/W2366734808","https://openalex.org/W4303411729","https://openalex.org/W2965803933","https://openalex.org/W4211202157"],"abstract_inverted_index":{"As":[0],"a":[1,26,31,70,85],"sub-field":[2],"of":[3,37,125,150,155],"video":[4,29],"content":[5],"analysis,":[6],"action":[7,48,126],"recognition":[8],"has":[9,30],"received":[10],"extensive":[11],"attention":[12],"in":[13,22,153],"recent":[14],"years,":[15],"which":[16],"aims":[17],"to":[18,40,56,73,89,101,110,141],"recognize":[19],"human":[20],"actions":[21],"videos.":[23],"Compared":[24],"with":[25,60],"single":[27],"image,":[28],"temporal":[32],"dimension.":[33],"Therefore,":[34],"it":[35],"is":[36,67,81,99],"great":[38],"significance":[39],"extract":[41,57],"the":[42,95,102,112,148],"spatio-temporal":[43,58,87],"information":[44,59],"from":[45],"videos":[46],"for":[47],"recognition.":[49],"In":[50],"this":[51],"paper,":[52],"an":[53],"efficient":[54],"network":[55,152,160],"relatively":[61],"low":[62],"computational":[63,157],"load":[64],"(dubbed":[65],"MEST)":[66],"proposed.":[68],"Firstly,":[69],"motion":[71,76],"encoder":[72],"capture":[74],"short-term":[75],"cues":[77],"between":[78],"consecutive":[79],"frames":[80],"developed,":[82],"followed":[83,105],"by":[84,106],"channel-wise":[86],"module":[88],"model":[90],"long-term":[91],"feature":[92],"information.":[93],"Moreover,":[94],"weight":[96],"standardization":[97],"method":[98],"applied":[100],"convolution":[103],"layers":[104,109],"batch":[107],"normalization":[108],"expedite":[111],"training":[113],"process":[114],"and":[115,129,133,159],"facilitate":[116],"convergence.":[117],"Experiments":[118],"are":[119],"conducted":[120],"on":[121],"five":[122],"public":[123],"datasets":[124],"recognition,":[127],"Something-Something-V1":[128],"-V2,":[130],"Jester,":[131],"UCF101":[132],"HMDB51,":[134],"where":[135],"MEST":[136],"exhibits":[137],"competitive":[138],"performance":[139],"compared":[140],"other":[142],"popular":[143],"methods.":[144],"The":[145],"results":[146],"demonstrate":[147],"effectiveness":[149],"our":[151],"terms":[154],"accuracy,":[156],"cost":[158],"scales.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}