{"id":"https://openalex.org/W2946997689","doi":"https://doi.org/10.1186/s13640-019-0466-z","title":"Estimation of gait normality index based on point clouds through deep auto-encoder","display_name":"Estimation of gait normality index based on point clouds through deep auto-encoder","publication_year":2019,"publication_date":"2019-05-28","ids":{"openalex":"https://openalex.org/W2946997689","doi":"https://doi.org/10.1186/s13640-019-0466-z","mag":"2946997689"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-019-0466-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0466-z","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0466-z","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0466-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052122948","display_name":"Trong-Nguyen Nguyen","orcid":"https://orcid.org/0000-0002-9161-0116"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Trong-Nguyen Nguyen","raw_affiliation_strings":["DIRO, University of Montreal, Pavillon Andr\u00e9-Aisenstadt, 2920 chemin de la Tour, Montreal, H3T 1J4, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9161-0116","affiliations":[{"raw_affiliation_string":"DIRO, University of Montreal, Pavillon Andr\u00e9-Aisenstadt, 2920 chemin de la Tour, Montreal, H3T 1J4, Canada","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086183445","display_name":"Jean Meunier","orcid":"https://orcid.org/0000-0001-6091-9762"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jean Meunier","raw_affiliation_strings":["DIRO, University of Montreal, Pavillon Andr\u00e9-Aisenstadt, 2920 chemin de la Tour, Montreal, H3T 1J4, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIRO, University of Montreal, Pavillon Andr\u00e9-Aisenstadt, 2920 chemin de la Tour, Montreal, H3T 1J4, Canada","institution_ids":["https://openalex.org/I70931966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052122948"],"corresponding_institution_ids":["https://openalex.org/I70931966"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.6978,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.67649409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2019","issue":"1","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":0.9998999834060669,"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":0.9998999834060669,"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":0.9993000030517578,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7400375008583069},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.7371441125869751},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.7106606364250183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.634810209274292},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6259415149688721},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5947020649909973},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5862420201301575},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5544624328613281},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5189201831817627},{"id":"https://openalex.org/keywords/normality","display_name":"Normality","score":0.4902684986591339},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4798371493816376},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.218910813331604},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15861257910728455},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.09436336159706116}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7400375008583069},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.7371441125869751},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7106606364250183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.634810209274292},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6259415149688721},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5947020649909973},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5862420201301575},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5544624328613281},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5189201831817627},{"id":"https://openalex.org/C2776157432","wikidata":"https://www.wikidata.org/wiki/Q1375683","display_name":"Normality","level":2,"score":0.4902684986591339},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4798371493816376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.218910813331604},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15861257910728455},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.09436336159706116},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13640-019-0466-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0466-z","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0466-z","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a48d4c4245624638930f6c917bc73fda","is_oa":true,"landing_page_url":"https://doaj.org/article/a48d4c4245624638930f6c917bc73fda","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-13 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13640-019-0466-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0466-z","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0466-z","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3863433030","display_name":null,"funder_award_id":"RGPIN-2015-05671","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G4822173597","display_name":null,"funder_award_id":"EIA-0196217","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G560051739","display_name":null,"funder_award_id":"RGPIN-2015","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2946997689.pdf","grobid_xml":"https://content.openalex.org/works/W2946997689.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W280766476","https://openalex.org/W1523808213","https://openalex.org/W1533861849","https://openalex.org/W1595919387","https://openalex.org/W1982396836","https://openalex.org/W1992989752","https://openalex.org/W1998124261","https://openalex.org/W2002722920","https://openalex.org/W2031138733","https://openalex.org/W2033819227","https://openalex.org/W2036196300","https://openalex.org/W2095705004","https://openalex.org/W2105099419","https://openalex.org/W2110798204","https://openalex.org/W2126680226","https://openalex.org/W2136922672","https://openalex.org/W2138256834","https://openalex.org/W2155893237","https://openalex.org/W2172156083","https://openalex.org/W2328336187","https://openalex.org/W2433456020","https://openalex.org/W2545698454","https://openalex.org/W2560609797","https://openalex.org/W2751445731","https://openalex.org/W2763384612","https://openalex.org/W2766209167","https://openalex.org/W2796426482","https://openalex.org/W2798029488","https://openalex.org/W2803913909","https://openalex.org/W2806725828","https://openalex.org/W2879448883","https://openalex.org/W2890274053","https://openalex.org/W2890763769","https://openalex.org/W2891211641","https://openalex.org/W2900637511","https://openalex.org/W2903151528","https://openalex.org/W2953384591","https://openalex.org/W2963517242","https://openalex.org/W2963674387","https://openalex.org/W3103642477"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2185145003","https://openalex.org/W2001760863","https://openalex.org/W2040913581"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,15,26,82],"method":[4],"estimating":[5],"an":[6],"index":[7],"that":[8,111],"indicates":[9],"human":[10],"gait":[11,63,67,71,87],"normality":[12,68],"based":[13],"on":[14,131],"sequence":[16],"of":[17,25,40,51,61,76,84],"3D":[18],"point":[19,132],"clouds":[20],"representing":[21],"the":[22,38],"walking":[23],"motion":[24],"subject.":[27],"A":[28,49],"cylinder-based":[29],"histogram":[30],"is":[31,55,79],"extracted":[32],"from":[33,58,98],"each":[34],"cloud":[35],"to":[36,65],"reduce":[37],"number":[39],"data":[41,115],"dimensions":[42],"as":[43,45,123,125],"well":[44,124],"highlight":[46],"gait-related":[47],"characteristics.":[48],"model":[50],"deep":[52,127],"neural":[53],"network":[54],"finally":[56],"formed":[57],"such":[59],"histograms":[60],"normal":[62],"patterns":[64],"provide":[66],"indices":[69],"supporting":[70],"assessment":[72],"tasks.":[73],"The":[74,101],"ability":[75],"our":[77],"approach":[78],"demonstrated":[80],"using":[81],"dataset":[83],"9":[85,91],"different":[86,113],"types":[88,116],"performed":[89],"by":[90],"subjects":[92],"and":[93,121],"two":[94],"other":[95,108],"datasets":[96],"converted":[97],"mocap":[99],"data.":[100],"experimental":[102],"results":[103],"are":[104],"also":[105],"compared":[106],"with":[107],"related":[109],"methods":[110],"process":[112],"input":[114],"including":[117],"silhouette,":[118],"depth":[119],"map,":[120],"skeleton":[122],"state-of-the-art":[126],"learning":[128],"approaches":[129],"working":[130],"cloud.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}