{"id":"https://openalex.org/W4402263261","doi":"https://doi.org/10.1109/access.2024.3454049","title":"Pedestrian Stride Length Estimation Based on Bidirectional LSTM and CNN Architecture","display_name":"Pedestrian Stride Length Estimation Based on Bidirectional LSTM and CNN Architecture","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402263261","doi":"https://doi.org/10.1109/access.2024.3454049"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3454049","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3454049","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3454049","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026436309","display_name":"Junu Park","orcid":"https://orcid.org/0009-0001-6296-7319"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junu Park","raw_affiliation_strings":["Department of Aerospace Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0009-0001-6296-7319","affiliations":[{"raw_affiliation_string":"Department of Aerospace Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705626","display_name":"Jae Hong Lee","orcid":"https://orcid.org/0000-0002-8222-5435"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae Hong Lee","raw_affiliation_strings":["Department of Aerospace Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-8222-5435","affiliations":[{"raw_affiliation_string":"Department of Aerospace Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054791152","display_name":"Chan Gook Park","orcid":"https://orcid.org/0000-0002-7403-951X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chan Gook Park","raw_affiliation_strings":["Department of Aerospace Engineering, Institute of Advanced Aerospace Technology, Seoul National University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-7403-951X","affiliations":[{"raw_affiliation_string":"Department of Aerospace Engineering, Institute of Advanced Aerospace Technology, Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8175,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7308221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"124718","last_page":"124728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996999979019165,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996999979019165,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T12740","display_name":"Gait Recognition and Analysis","score":0.9941999912261963,"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/computer-science","display_name":"Computer science","score":0.7675600647926331},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6816390156745911},{"id":"https://openalex.org/keywords/stride","display_name":"STRIDE","score":0.6238263249397278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5552859306335449},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4750775694847107},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.43323105573654175},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4158729314804077},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.393511563539505},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.11425027251243591},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.111500084400177},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10154962539672852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7675600647926331},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6816390156745911},{"id":"https://openalex.org/C18007350","wikidata":"https://www.wikidata.org/wiki/Q7394815","display_name":"STRIDE","level":2,"score":0.6238263249397278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5552859306335449},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4750775694847107},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.43323105573654175},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4158729314804077},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.393511563539505},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.11425027251243591},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.111500084400177},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10154962539672852},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3454049","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3454049","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f23d53906cc44167b3e259620d34e53e","is_oa":true,"landing_page_url":"https://doaj.org/article/f23d53906cc44167b3e259620d34e53e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 124718-124728 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3454049","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3454049","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1533527151","https://openalex.org/W1564768010","https://openalex.org/W1636780728","https://openalex.org/W1956618308","https://openalex.org/W1964934429","https://openalex.org/W2006328507","https://openalex.org/W2011224697","https://openalex.org/W2025768430","https://openalex.org/W2064675550","https://openalex.org/W2079735306","https://openalex.org/W2106226434","https://openalex.org/W2128416094","https://openalex.org/W2154579312","https://openalex.org/W2155952367","https://openalex.org/W2194775991","https://openalex.org/W2516360951","https://openalex.org/W2520323573","https://openalex.org/W2766080344","https://openalex.org/W2884968643","https://openalex.org/W2895879514","https://openalex.org/W2912791673","https://openalex.org/W2945555875","https://openalex.org/W2963423603","https://openalex.org/W2984573846","https://openalex.org/W3006907812","https://openalex.org/W3090160518","https://openalex.org/W3101801952","https://openalex.org/W3126479804","https://openalex.org/W3181349848","https://openalex.org/W3199515608","https://openalex.org/W4210783660","https://openalex.org/W4285102332","https://openalex.org/W4311807697","https://openalex.org/W4312051567","https://openalex.org/W4312720728","https://openalex.org/W4392114209","https://openalex.org/W4393972863","https://openalex.org/W6634040119","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2347597433","https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2389023277","https://openalex.org/W2562411628","https://openalex.org/W3034772098","https://openalex.org/W2100563491","https://openalex.org/W2124672917","https://openalex.org/W2101960027","https://openalex.org/W4289821489"],"abstract_inverted_index":{"An":[0],"increasing":[1],"number":[2],"of":[3,65,72,80,145,174],"stride":[4,28,151],"length":[5,29,152],"estimation":[6],"(SLE)":[7],"algorithms":[8,142],"adopt":[9],"deep":[10],"learning":[11],"due":[12],"to":[13,16,37,76],"its":[14],"ability":[15,173],"automatically":[17],"learn":[18],"complex":[19],"nonlinearities":[20],"in":[21,32,91,143,181],"the":[22,43,70,73,78,92,137,164,171,175],"data.":[23],"However,":[24],"datasets":[25],"with":[26,40,54,103,115],"true":[27],"are":[30,50],"small":[31],"size,":[33],"posing":[34],"a":[35,81,96,104],"threat":[36],"network":[38,107,176],"performance":[39],"overfitting.":[41],"Furthermore,":[42],"inertial":[44],"sensor":[45],"data":[46,53,117,167],"collected":[47],"from":[48],"users":[49,66,179],"essentially":[51],"time-series":[52],"spatial":[55],"features":[56,89],"vary":[57],"depending":[58],"on":[59,130],"individual":[60],"walking":[61,146],"characteristics.":[62],"The":[63,160],"variety":[64],"and":[67,85,127,150,157,166,185],"motions":[68],"increases":[69],"complexity":[71],"SLE.":[74],"Therefore,":[75],"bypass":[77],"issue":[79],"small-sized":[82],"training":[83],"dataset":[84],"effectively":[86],"capture":[87],"spatio-temporal":[88],"inherent":[90],"data,":[93],"we":[94,113,134],"propose":[95],"bidirectional":[97],"long":[98],"short-term":[99],"memory":[100],"(BiLSTM)":[101],"combined":[102],"convolutional":[105],"neural":[106],"(CNN)":[108],"architecture,":[109],"termed":[110],"BiLSTM/CNN,":[111],"which":[112],"train":[114],"our":[116],"augmentation":[118,168],"method":[119,139,169],"that":[120,136,163],"uses":[121],"random":[122],"rotation":[123],"matrix.":[124],"Through":[125],"quantitative":[126],"qualitative":[128],"evaluations":[129],"three":[131],"public":[132],"datasets,":[133],"prove":[135],"proposed":[138],"outperforms":[140],"state-of-the-art":[141],"terms":[144],"distance":[147],"error":[148,153],"rate":[149],"rate,":[154],"achieving":[155],"2.62%":[156],"5.60%,":[158],"respectively.":[159],"results":[161],"demonstrate":[162],"BiLSTM/CNN":[165],"improve":[170],"generalization":[172],"for":[177],"different":[178],"engaging":[180],"daily":[182],"life":[183],"activities":[184],"various":[186],"motion":[187],"modes.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}