{"id":"https://openalex.org/W3209738691","doi":"https://doi.org/10.1155/2021/3994003","title":"Motion Attitude Recognition and Behavior Prediction Algorithm Based on Wireless Sensor Network","display_name":"Motion Attitude Recognition and Behavior Prediction Algorithm Based on Wireless Sensor Network","publication_year":2021,"publication_date":"2021-10-27","ids":{"openalex":"https://openalex.org/W3209738691","doi":"https://doi.org/10.1155/2021/3994003","mag":"3209738691"},"language":"en","primary_location":{"id":"doi:10.1155/2021/3994003","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/3994003","pdf_url":"https://downloads.hindawi.com/journals/misy/2021/3994003.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/misy/2021/3994003.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101785615","display_name":"Tianping Zhang","orcid":"https://orcid.org/0000-0002-0375-9691"},"institutions":[{"id":"https://openalex.org/I4210105877","display_name":"Wuhan Donghu University","ror":"https://ror.org/017swdq34","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105877"]},{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianping Zhang","raw_affiliation_strings":["School of Computer Science, Wuhan Donghu University, Wuhan 430212, Hubei, China","School of Logistics Engineering, Wuhan University of Technology, Wuhan 430070, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan Donghu University, Wuhan 430212, Hubei, China","institution_ids":["https://openalex.org/I4210105877"]},{"raw_affiliation_string":"School of Logistics Engineering, Wuhan University of Technology, Wuhan 430070, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335207","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0001-8326-2329"},"institutions":[{"id":"https://openalex.org/I4210105877","display_name":"Wuhan Donghu University","ror":"https://ror.org/017swdq34","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Zhang","raw_affiliation_strings":["School of Computer Science, Wuhan Donghu University, Wuhan 430212, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan Donghu University, Wuhan 430212, Hubei, China","institution_ids":["https://openalex.org/I4210105877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349558","display_name":"Lei Liu","orcid":"https://orcid.org/0000-0002-4698-2965"},"institutions":[{"id":"https://openalex.org/I4210105877","display_name":"Wuhan Donghu University","ror":"https://ror.org/017swdq34","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liu","raw_affiliation_strings":["School of Computer Science, Wuhan Donghu University, Wuhan 430212, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan Donghu University, Wuhan 430212, Hubei, China","institution_ids":["https://openalex.org/I4210105877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355692","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-7300-9215"},"institutions":[{"id":"https://openalex.org/I4210105877","display_name":"Wuhan Donghu University","ror":"https://ror.org/017swdq34","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["School of Computer Science, Wuhan Donghu University, Wuhan 430212, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan Donghu University, Wuhan 430212, Hubei, China","institution_ids":["https://openalex.org/I4210105877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100335207"],"corresponding_institution_ids":["https://openalex.org/I4210105877"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.1921,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50156863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9973000288009644,"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":0.9973000288009644,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9969000220298767,"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/T13567","display_name":"AI and Multimedia in Education","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8461261987686157},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6743701696395874},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.553682267665863},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5482821464538574},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5128121972084045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4588099718093872},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4336802363395691},{"id":"https://openalex.org/keywords/key-distribution-in-wireless-sensor-networks","display_name":"Key distribution in wireless sensor networks","score":0.4306161105632782},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4221251606941223},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40876781940460205},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40157759189605713},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3735584318637848},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21356341242790222},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11538931727409363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8461261987686157},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6743701696395874},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.553682267665863},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5482821464538574},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5128121972084045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4588099718093872},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4336802363395691},{"id":"https://openalex.org/C41971633","wikidata":"https://www.wikidata.org/wiki/Q6398155","display_name":"Key distribution in wireless sensor networks","level":4,"score":0.4306161105632782},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4221251606941223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40876781940460205},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40157759189605713},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3735584318637848},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21356341242790222},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11538931727409363},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/3994003","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/3994003","pdf_url":"https://downloads.hindawi.com/journals/misy/2021/3994003.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:960eeb28cf9944b18367a4dbc880408b","is_oa":true,"landing_page_url":"https://doaj.org/article/960eeb28cf9944b18367a4dbc880408b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mobile Information Systems, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/3994003","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/3994003","pdf_url":"https://downloads.hindawi.com/journals/misy/2021/3994003.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G129458706","display_name":null,"funder_award_id":"2021dhzk005","funder_id":"https://openalex.org/F4320324821","funder_display_name":"Wuhan Donghu University"}],"funders":[{"id":"https://openalex.org/F4320324821","display_name":"Wuhan Donghu University","ror":"https://ror.org/017swdq34"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3209738691.pdf","grobid_xml":"https://content.openalex.org/works/W3209738691.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W69394253","https://openalex.org/W285204629","https://openalex.org/W1530323914","https://openalex.org/W1969934268","https://openalex.org/W2202742104","https://openalex.org/W2338050323","https://openalex.org/W2339394817","https://openalex.org/W2342394218","https://openalex.org/W2372539167","https://openalex.org/W2394599079","https://openalex.org/W2469134594","https://openalex.org/W2508157375","https://openalex.org/W2525739395","https://openalex.org/W2531706689","https://openalex.org/W2552886112","https://openalex.org/W2606792870","https://openalex.org/W2764034829","https://openalex.org/W2775510260","https://openalex.org/W2782522152","https://openalex.org/W2783231089","https://openalex.org/W2790979755","https://openalex.org/W2799833432","https://openalex.org/W2932273174","https://openalex.org/W2949019609","https://openalex.org/W3015837893"],"related_works":["https://openalex.org/W2079312091","https://openalex.org/W1975451135","https://openalex.org/W917005982","https://openalex.org/W2148549110","https://openalex.org/W2295628284","https://openalex.org/W2890570089","https://openalex.org/W3095958166","https://openalex.org/W2129477171","https://openalex.org/W3148968234","https://openalex.org/W2593729912"],"abstract_inverted_index":{"The":[0,39,124,235,260,300],"wireless":[1,42,77,135,172,278],"sensor":[2,50,78,125,173,279],"network":[3,51,79,205,211,280],"is":[4,106,139],"an":[5,65,111],"integral":[6],"part":[7],"of":[8,18,27,56,71,100,103,114,119,179,189,197,219,262,302],"the":[9,24,28,32,54,69,96,115,120,131,177,186,190,195,217,238,263,267,277,303,308,312],"physical":[10],"information":[11,33],"system.":[12],"Disperse":[13],"sensors":[14,40],"through":[15,134],"a":[16,36,143,201,226,250],"set":[17],"special":[19],"spaces":[20],"track":[21],"and":[22,30,59,62,90,98,148,166,203,207,245,248,257,271,288,311,317],"record":[23],"natural":[25],"state":[26],"environment":[29],"manage":[31],"collected":[34],"in":[35,68,155,282,293,307],"central":[37],"location.":[38],"use":[41,61,196],"connections":[43],"to":[44,109,130,161,184,254],"create":[45],"their":[46],"own":[47],"networks.":[48,174],"Wireless":[49],"technology":[52],"has":[53,63,285],"advantages":[55],"flexible":[57],"deployment":[58,97],"convenient":[60],"played":[64],"important":[66,108],"role":[67],"field":[70],"user":[72,133],"behavior":[73,88,227],"recognition.":[74],"By":[75],"deploying":[76],"technology,":[80,104],"users":[81],"can":[82,127,289],"collect":[83],"daily":[84],"information,":[85],"capture":[86],"users\u2019":[87,92],"habits,":[89],"analyze":[91],"health":[93],"status.":[94],"In":[95],"application":[99],"this":[101,192,223,283],"type":[102],"it":[105],"very":[107],"build":[110],"effective":[112],"model":[113],"logical":[116],"sequence":[117],"relationship":[118],"monitored":[121],"person\u2019s":[122],"behavior.":[123],"data":[126],"be":[128,290],"sent":[129],"target":[132],"transmission.":[136],"Action":[137],"recognition":[138,182,244,270,273,305],"often":[140],"based":[141,170,230,275],"on":[142,171,231,276],"single":[144],"feature":[145,239],"for":[146],"learning":[147],"judgment,":[149],"so":[150],"there":[151],"are":[152],"many":[153],"difficulties":[154],"practical":[156],"applications.":[157],"This":[158],"article":[159,193,224],"aims":[160],"study":[162],"motion":[163,221,272],"shake":[164],"awareness":[165],"action":[167],"prediction":[168,228,247],"algorithms":[169],"Aiming":[175,215],"at":[176,216],"research":[178,218],"human":[180],"pose":[181],"algorithm,":[183],"optimize":[185],"overall":[187],"performance":[188,287],"model,":[191],"suggests":[194],"multimodal":[198],"input,":[199],"uses":[200,249],"2D":[202],"3D":[204],"structure,":[206],"finally,":[208],"proposes":[209],"two":[210],"weighted":[212],"fusion":[213],"strategies.":[214],"pedestrian":[220,268],"discrimination,":[222],"offers":[225],"algorithm":[229,236,274,306],"multifeature":[232],"joint":[233],"learning.":[234],"adds":[237],"vectors":[240],"output":[241],"by":[242],"gesture":[243,269,304],"mask":[246],"cross-entropy":[251],"cost":[252],"function":[253],"jointly":[255],"learn":[256],"predict":[258],"classification.":[259],"results":[261],"survey":[264],"show":[265],"that":[266],"proposed":[281],"paper":[284],"good":[286],"widely":[291],"used":[292],"real":[294],"scenes":[295],"such":[296],"as":[297],"video":[298],"surveillance.":[299],"accuracy":[301],"UCF101":[309],"dataset":[310,314],"HMDB51":[313],"was":[315],"96%":[316],"72%,":[318],"respectively.":[319]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}