{"id":"https://openalex.org/W3081574864","doi":"https://doi.org/10.1109/icaci49185.2020.9177818","title":"A Hybrid Deep Neural Networks for Sensor-based Human Activity Recognition","display_name":"A Hybrid Deep Neural Networks for Sensor-based Human Activity Recognition","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3081574864","doi":"https://doi.org/10.1109/icaci49185.2020.9177818","mag":"3081574864"},"language":"en","primary_location":{"id":"doi:10.1109/icaci49185.2020.9177818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci49185.2020.9177818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 12th International Conference on Advanced Computational Intelligence (ICACI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100645209","display_name":"Shujuan Wang","orcid":"https://orcid.org/0000-0002-8312-9779"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shujuan Wang","raw_affiliation_strings":["National Pilot school of software, Yunnan University, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Pilot school of software, Yunnan University, Yunnan, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012689262","display_name":"Xiaoke Zhu","orcid":"https://orcid.org/0000-0002-0664-1832"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoke Zhu","raw_affiliation_strings":["National Pilot school of software, Yunnan University, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Pilot school of software, Yunnan University, Yunnan, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"486","last_page":"491"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","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/T10444","display_name":"Context-Aware Activity Recognition Systems","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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9628000259399414,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9589999914169312,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7858225107192993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7457943558692932},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6622885465621948},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6540458798408508},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.639697790145874},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6177351474761963},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6085602045059204},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.4287703335285187},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4223308265209198},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.41218096017837524},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40219491720199585}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7858225107192993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7457943558692932},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6622885465621948},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6540458798408508},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.639697790145874},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6177351474761963},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6085602045059204},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.4287703335285187},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4223308265209198},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.41218096017837524},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40219491720199585},{"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/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaci49185.2020.9177818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaci49185.2020.9177818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 12th International Conference on Advanced Computational Intelligence (ICACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W82044129","https://openalex.org/W134960717","https://openalex.org/W1982790367","https://openalex.org/W2002261403","https://openalex.org/W2003792585","https://openalex.org/W2118443447","https://openalex.org/W2156571267","https://openalex.org/W2270470215","https://openalex.org/W2294147839","https://openalex.org/W2316564986","https://openalex.org/W2342792048","https://openalex.org/W2578039582","https://openalex.org/W2604630936","https://openalex.org/W2736191430","https://openalex.org/W2951929328","https://openalex.org/W2952181509","https://openalex.org/W2963793792","https://openalex.org/W6605479355","https://openalex.org/W6682904970","https://openalex.org/W6697021769","https://openalex.org/W6910660423"],"related_works":["https://openalex.org/W2161221533","https://openalex.org/W4229699405","https://openalex.org/W3093871791","https://openalex.org/W4366256806","https://openalex.org/W2997056298","https://openalex.org/W2970987681","https://openalex.org/W1975325338","https://openalex.org/W4390143068","https://openalex.org/W3181401746","https://openalex.org/W2982423860"],"abstract_inverted_index":{"Human":[0],"activity":[1,15],"recognition":[2],"is":[3,94,121,148],"playing":[4],"a":[5,51,59,109],"significant":[6],"role":[7],"to":[8,12,34,49,75,96,145],"health-care.":[9],"Existing":[10],"methods":[11],"classify":[13],"human":[14,44,82,90],"are":[16],"mainly":[17],"based":[18],"on":[19,134],"machine":[20],"learning":[21,76],"algorithm":[22],"combined":[23],"with":[24],"features":[25,77],"selection":[26],"method":[27],"and":[28,37,87,100,129],"deep":[29,61,72],"neural":[30,62,73],"network":[31,63],"models.":[32],"Due":[33],"the":[35,85,101,106,116,149,153],"complexity":[36],"diversity":[38],"of":[39,43,68,71,78,89,111,115,143],"sensors":[40,79],"signal":[41],"data":[42,80],"activities,":[45],"there":[46],"exists":[47],"challenge":[48],"design":[50,110],"suitable":[52],"model.":[53,112],"In":[54,113],"this":[55],"paper,":[56],"we":[57],"designed":[58,122],"hybrid":[60],"model,":[64],"which":[65,147],"makes":[66],"use":[67],"several":[69],"kinds":[70],"networks":[74],"for":[81,108],"activities.":[83],"However,":[84],"periodicity":[86],"transferability":[88],"action":[91],"require":[92],"model":[93,120,139],"able":[95],"know":[97],"spatial-temporal":[98],"information":[99],"vanishing":[102],"gradient":[103],"problem":[104],"need":[105],"rationality":[107],"view":[114],"abovementioned":[117],"factors,":[118],"proposed":[119,138],"by":[123],"convolutional":[124],"layers,":[125],"bidirectional":[126],"LSTM":[127],"layers":[128],"attention":[130],"modules.":[131],"Experimental":[132],"results":[133],"UCI-HAR":[135],"dataset":[136],"show,":[137],"achieved":[140],"an":[141],"accuracy":[142],"up":[144],"95.58%,":[146],"best":[150],"performance":[151],"among":[152],"classic":[154],"classification":[155],"methods.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}