{"id":"https://openalex.org/W4402579552","doi":"https://doi.org/10.1017/s0263574724000948","title":"Prediction of abnormal gait behavior of lower limbs based on depth vision","display_name":"Prediction of abnormal gait behavior of lower limbs based on depth vision","publication_year":2024,"publication_date":"2024-09-18","ids":{"openalex":"https://openalex.org/W4402579552","doi":"https://doi.org/10.1017/s0263574724000948"},"language":"en","primary_location":{"id":"doi:10.1017/s0263574724000948","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0263574724000948","pdf_url":null,"source":{"id":"https://openalex.org/S92163612","display_name":"Robotica","issn_l":"0263-5747","issn":["0263-5747","1469-8668"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Robotica","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/A5031707240","display_name":"Tie Liu","orcid":"https://orcid.org/0000-0002-3976-1048"},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tie Liu","raw_affiliation_strings":["School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China","institution_ids":["https://openalex.org/I157507598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101893008","display_name":"Dianchun Bai","orcid":"https://orcid.org/0000-0001-5642-9605"},"institutions":[{"id":"https://openalex.org/I157507598","display_name":"Shenyang University of Technology","ror":"https://ror.org/00d7f8730","country_code":"CN","type":"education","lineage":["https://openalex.org/I157507598"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dianchun Bai","raw_affiliation_strings":["School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China","institution_ids":["https://openalex.org/I157507598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110816649","display_name":"Hongyu Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141888","display_name":"Shenyang Fire Research Institute","ror":"https://ror.org/040nzs042","country_code":"CN","type":"facility","lineage":["https://openalex.org/I1302611135","https://openalex.org/I4210141888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Yi","raw_affiliation_strings":["Shenyang Fire Research Institute of Emergency Management Ministry, Shenyang 110034, China"],"affiliations":[{"raw_affiliation_string":"Shenyang Fire Research Institute of Emergency Management Ministry, Shenyang 110034, China","institution_ids":["https://openalex.org/I4210141888"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031788063","display_name":"Hiroshi Yokoi","orcid":null},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Yokoi","raw_affiliation_strings":["Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Chofu 182-8585, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering and Intelligent Systems, The University of Electro-Communications, Chofu 182-8585, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101893008"],"corresponding_institution_ids":["https://openalex.org/I157507598"],"apc_list":null,"apc_paid":null,"fwci":0.1955,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48204946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"43","issue":"1","first_page":"47","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9282000064849854,"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":0.9282000064849854,"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/gait","display_name":"Gait","score":0.6959841251373291},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5959078073501587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5730079412460327},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.55328369140625},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.38545554876327515},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14001038670539856}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6959841251373291},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5959078073501587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5730079412460327},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.55328369140625},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.38545554876327515},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14001038670539856}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s0263574724000948","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0263574724000948","pdf_url":null,"source":{"id":"https://openalex.org/S92163612","display_name":"Robotica","issn_l":"0263-5747","issn":["0263-5747","1469-8668"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Robotica","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Abstract":[0],"As":[1],"a":[2,46,81,96,110,132],"kind":[3],"of":[4,37,59,63,98,136,163],"lower-limb":[5,22,39,50,77,101,112,123,138,164,171],"motor":[6],"assistance":[7],"device,":[8],"the":[9,34,38,57,99,121,144,160],"intelligent":[10],"walking":[11,28,40,106],"aid":[12,41],"robot":[13,166],"plays":[14],"an":[15],"essential":[16],"role":[17],"in":[18,150],"helping":[19],"people":[20],"with":[21,170],"diseases":[23],"to":[24,32,75,94,130,158],"carry":[25],"out":[26],"rehabilitation":[27,165],"training.":[29],"In":[30],"order":[31],"enhance":[33,159],"safety":[35,161],"performance":[36,162],"robot,":[42],"this":[43],"study":[44],"proposes":[45,155],"deep":[47],"vision-based":[48],"abnormal":[49,60,124,137],"gait":[51,61],"prediction":[52,62,84,114,126,134],"model":[53,85,97,127,145],"construction":[54],"method":[55],"for":[56,168],"problem":[58],"patients\u2019":[64],"lower":[65],"limbs.":[66],"The":[67,116],"point":[68],"cloud":[69],"depth":[70],"vision":[71],"technique":[72],"is":[73,86,128],"used":[74],"acquire":[76],"motion":[78,113],"data,":[79],"and":[80,90],"multi-posture":[82],"angular":[83],"trained":[87],"using":[88],"long":[89],"short-term":[91],"memory":[92],"networks":[93],"build":[95],"user\u2019s":[100],"posture":[102],"characteristics":[103],"during":[104],"normal":[105],"as":[107,109],"well":[108],"real-time":[111],"model.":[115],"experimental":[117],"results":[118],"indicate":[119],"that":[120],"proposed":[122],"behavior":[125],"able":[129],"achieve":[131],"97.4%":[133],"rate":[135],"movements":[139],"within":[140],"150":[141],"ms.":[142],"Additionally,":[143],"demonstrates":[146],"strong":[147],"generalization":[148],"ability":[149],"practical":[151],"applications.":[152],"This":[153],"paper":[154],"further":[156],"ideas":[157],"use":[167],"patients":[169],"disabilities.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
