{"id":"https://openalex.org/W2810978778","doi":"https://doi.org/10.1109/uic-atc.2017.8397466","title":"Dynamic long short-term memory network for skeleton-based gait recognition","display_name":"Dynamic long short-term memory network for skeleton-based gait recognition","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2810978778","doi":"https://doi.org/10.1109/uic-atc.2017.8397466","mag":"2810978778"},"language":"en","primary_location":{"id":"doi:10.1109/uic-atc.2017.8397466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uic-atc.2017.8397466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)","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/A5100453999","display_name":"Jie Li","orcid":"https://orcid.org/0000-0001-5865-3440"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Li","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101410859","display_name":"Lin Qi","orcid":"https://orcid.org/0000-0001-6991-4669"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Qi","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077224988","display_name":"Aite Zhao","orcid":"https://orcid.org/0000-0003-3494-175X"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aite Zhao","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068565101","display_name":"Xingnan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingnan Chen","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029633264","display_name":"Junyu Dong","orcid":"https://orcid.org/0000-0001-7012-2087"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Dong","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100453999"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":0.7647,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.71049341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":1.0,"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":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9940000176429749,"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":0.9746999740600586,"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/interpretability","display_name":"Interpretability","score":0.8284027576446533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7834166288375854},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7778497934341431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6541717052459717},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.6505141258239746},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5809007883071899},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5096170902252197},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.45081645250320435},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4484727382659912},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.4185822606086731},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4170760214328766},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4111917018890381},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39856693148612976}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8284027576446533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7834166288375854},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7778497934341431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6541717052459717},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6505141258239746},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5809007883071899},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5096170902252197},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.45081645250320435},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4484727382659912},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.4185822606086731},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4170760214328766},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4111917018890381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39856693148612976},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/uic-atc.2017.8397466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uic-atc.2017.8397466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1518138188","https://openalex.org/W1572940804","https://openalex.org/W1579184772","https://openalex.org/W1588128358","https://openalex.org/W1771459135","https://openalex.org/W1986553199","https://openalex.org/W2014850105","https://openalex.org/W2035723564","https://openalex.org/W2036571942","https://openalex.org/W2042769429","https://openalex.org/W2064675550","https://openalex.org/W2070381776","https://openalex.org/W2085058513","https://openalex.org/W2107878631","https://openalex.org/W2129887056","https://openalex.org/W2149516292","https://openalex.org/W2158764002","https://openalex.org/W2160813177","https://openalex.org/W2182983406","https://openalex.org/W2209524052","https://openalex.org/W2258664935","https://openalex.org/W2405392835","https://openalex.org/W2409587536","https://openalex.org/W2463071499","https://openalex.org/W2472272718","https://openalex.org/W2491664569","https://openalex.org/W2510185399","https://openalex.org/W2520350816","https://openalex.org/W2962965465","https://openalex.org/W2963355447","https://openalex.org/W2964134613","https://openalex.org/W6631178364","https://openalex.org/W6634499456","https://openalex.org/W6683550236","https://openalex.org/W6688198219","https://openalex.org/W6719241496","https://openalex.org/W6725062358"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4247136043","https://openalex.org/W2768320620"],"abstract_inverted_index":{"As":[0],"an":[1],"important":[2],"biometric,":[3],"gait":[4,13,102,144],"has":[5],"been":[6],"extensively":[7],"used":[8],"for":[9,101],"human":[10,39,69],"recognition.":[11],"Currently":[12],"analysis":[14],"based":[15,53,134],"on":[16,54,135],"3D":[17],"skeleton":[18,105,108],"data":[19,109],"are":[20],"more":[21],"commonly":[22],"studied":[23],"due":[24],"to":[25,61,98,126],"its":[26],"accuracy,":[27],"succinctness,":[28],"and":[29,41,56,149],"view-invariant":[30],"representation.":[31],"Traditional":[32],"methods":[33],"generally":[34],"extract":[35],"geometric":[36],"features":[37,47,64,119],"of":[38,68,88],"body":[40],"temporal":[42],"dynamics":[43],"characteristic.":[44],"However,":[45],"designing":[46],"from":[48,104],"ad-hoc":[49],"schemes":[50],"mainly":[51],"is":[52,59,110,124,147],"experience,":[55],"thus":[57],"it":[58],"difficult":[60],"obtain":[62],"high-dimensional":[63],"beyond":[65],"the":[66,84,112,142],"limits":[67],"interpretability.":[70],"In":[71],"this":[72],"paper,":[73],"considering":[74],"that":[75,141],"Long":[76],"Short-Term":[77],"Memory(LSTM)":[78],"recurrent":[79],"neural":[80],"network":[81,100],"can":[82],"model":[83],"long-term":[85],"contextual":[86],"information":[87,114],"time":[89],"sequences":[90,128],"well,":[91],"we":[92],"first":[93],"propose":[94],"a":[95],"dynamic":[96],"approach":[97],"LSTM":[99],"recognition":[103,145],"data.":[106],"These":[107],"essentially":[111],"discriminative":[113],"without":[115],"extracting":[116],"any":[117],"hand-crafted":[118],"in":[120,152],"advance.":[121],"The":[122],"framework":[123],"able":[125],"process":[127],"with":[129],"variable":[130],"length.":[131],"Our":[132],"experiments":[133],"three":[136],"publicly":[137],"available":[138],"datasets":[139],"demonstrate":[140],"proposed":[143],"method":[146],"effective":[148],"outperformed":[150],"those":[151],"literature.":[153]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}