{"id":"https://openalex.org/W4408311648","doi":"https://doi.org/10.1142/s0218001425500065","title":"Gait Recognition by Combining Recurrent Neural Network and Fully Convolutional Network","display_name":"Gait Recognition by Combining Recurrent Neural Network and Fully Convolutional Network","publication_year":2025,"publication_date":"2025-03-11","ids":{"openalex":"https://openalex.org/W4408311648","doi":"https://doi.org/10.1142/s0218001425500065"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001425500065","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425500065","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5042589872","display_name":"Xinbin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I67001856","display_name":"Shanghai Institute of Technology","ror":"https://ror.org/00fjzqj15","country_code":"CN","type":"education","lineage":["https://openalex.org/I67001856"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinbin Zhang","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, 220 Handan Road, Shanghai 200433, P.\u00a0R.\u00a0China","Shanghai Aerospace Control Technology Research Institute, 1555 Zhongchun Road, Shanghai 201108, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, 220 Handan Road, Shanghai 200433, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Aerospace Control Technology Research Institute, 1555 Zhongchun Road, Shanghai 201108, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I67001856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084258829","display_name":"Weixiang Xiong","orcid":"https://orcid.org/0000-0002-6874-4765"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixiang Xiong","raw_affiliation_strings":["School of Mechanical and Power Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Power Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051597671","display_name":"Zhihao Yang","orcid":"https://orcid.org/0000-0001-6186-2024"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Yang","raw_affiliation_strings":["School of Mechanical and Power Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Power Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679490","display_name":"Qinghong Zhang","orcid":"https://orcid.org/0000-0002-4373-7665"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghong Zhang","raw_affiliation_strings":["School of Mechanical and Power Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Power Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027213805","display_name":"Jianjun Yan","orcid":"https://orcid.org/0000-0002-1233-1136"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Yan","raw_affiliation_strings":["School of Mechanical and Power Engineering, Shanghai Key Laboratory of Intelligent Sensing and Detection Technology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Power Engineering, Shanghai Key Laboratory of Intelligent Sensing and Detection Technology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042589872"],"corresponding_institution_ids":["https://openalex.org/I24943067","https://openalex.org/I67001856"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04920961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":"05","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9502000212669373,"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":0.9390000104904175,"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/computer-science","display_name":"Computer science","score":0.7383191585540771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6637647151947021},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6607252359390259},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.594864547252655},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5082252025604248},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.4938386082649231},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4718071520328522},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4711662232875824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35677972435951233},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.21528339385986328},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0873894989490509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7383191585540771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6637647151947021},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6607252359390259},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.594864547252655},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5082252025604248},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.4938386082649231},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4718071520328522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4711662232875824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35677972435951233},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.21528339385986328},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0873894989490509}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001425500065","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425500065","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1911839968","https://openalex.org/W2009631855","https://openalex.org/W2023228894","https://openalex.org/W2034922363","https://openalex.org/W2038609344","https://openalex.org/W2056370875","https://openalex.org/W2064675550","https://openalex.org/W2070054839","https://openalex.org/W2100030191","https://openalex.org/W2105352020","https://openalex.org/W2110485445","https://openalex.org/W2150776941","https://openalex.org/W2151373013","https://openalex.org/W2322772590","https://openalex.org/W2551393996","https://openalex.org/W2735543790","https://openalex.org/W2765328347","https://openalex.org/W2791820053","https://openalex.org/W2884990272","https://openalex.org/W2964486145","https://openalex.org/W3045278416","https://openalex.org/W3095743069","https://openalex.org/W3118913631","https://openalex.org/W3211526028","https://openalex.org/W3211917380","https://openalex.org/W4220726338"],"related_works":["https://openalex.org/W1584270863","https://openalex.org/W2109916967","https://openalex.org/W2603525251","https://openalex.org/W2085961337","https://openalex.org/W3113777316","https://openalex.org/W2386241395","https://openalex.org/W4246541945","https://openalex.org/W2890297197","https://openalex.org/W2357447513","https://openalex.org/W2107201395"],"abstract_inverted_index":{"Gait":[0],"recognition":[1,15,28,37,80,99],"is":[2,51,64,82],"one":[3],"of":[4,21,27,68,102],"the":[5,19,41,85,93,105,108],"key":[6],"technologies":[7],"for":[8],"exoskeleton":[9],"robot":[10],"control.":[11],"The":[12,88],"existing":[13],"gait":[14,36,60,72,79],"methods":[16],"cannot":[17],"meet":[18],"needs":[20],"real-time":[22],"control":[23],"well":[24],"in":[25,104],"terms":[26],"accuracy":[29,101],"and":[30,45,76],"robustness.":[31],"In":[32,53],"this":[33,54],"paper,":[34,55],"a":[35,56,77],"method":[38],"based":[39],"on":[40],"recurrent":[42],"neural":[43],"network":[44,48],"fully":[46],"convolutional":[47],"(RNN-FCN)":[49],"algorithm":[50,95],"proposed.":[52],"human":[57,69,78],"lower":[58,70],"limb":[59,71],"information":[61],"acquisition":[62],"device":[63],"developed,":[65],"ten":[66],"types":[67],"data":[73],"are":[74],"collected,":[75],"model":[81],"constructed":[83],"using":[84],"RNN-FCN":[86,94],"algorithm.":[87],"experimental":[89],"results":[90],"demonstrate":[91],"that":[92],"achieves":[96],"an":[97],"average":[98],"classification":[100],"94.43%":[103],"experiments,":[106],"outperforming":[107],"other":[109],"four":[110],"algorithms.":[111]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
