{"id":"https://openalex.org/W4223957888","doi":"https://doi.org/10.1109/lifetech53646.2022.9754865","title":"Effect of shoe insoles on body sway in video-based person identification","display_name":"Effect of shoe insoles on body sway in video-based person identification","publication_year":2022,"publication_date":"2022-03-07","ids":{"openalex":"https://openalex.org/W4223957888","doi":"https://doi.org/10.1109/lifetech53646.2022.9754865"},"language":"en","primary_location":{"id":"doi:10.1109/lifetech53646.2022.9754865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lifetech53646.2022.9754865","pdf_url":null,"source":{"id":"https://openalex.org/S4363607953","display_name":"2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech)","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/A5064197433","display_name":"Haruki Nakayama","orcid":null},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Haruki Nakayama","raw_affiliation_strings":["Tottori University,Graduate School of Engineering","Graduate School of Engineering, Tottori University"],"affiliations":[{"raw_affiliation_string":"Tottori University,Graduate School of Engineering","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Graduate School of Engineering, Tottori University","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114376400","display_name":"T. Kamitani","orcid":"https://orcid.org/0000-0002-0247-0060"},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Kamitani","raw_affiliation_strings":["Tottori University,Graduate School of Engineering","Graduate School of Engineering, Tottori University"],"affiliations":[{"raw_affiliation_string":"Tottori University,Graduate School of Engineering","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Graduate School of Engineering, Tottori University","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053503558","display_name":"Masashi Nishiyama","orcid":null},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masashi Nishiyama","raw_affiliation_strings":["Tottori University,Graduate School of Engineering","Cross-informatics Research Center, Tottori University","Graduate School of Engineering, Tottori University"],"affiliations":[{"raw_affiliation_string":"Tottori University,Graduate School of Engineering","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Cross-informatics Research Center, Tottori University","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Graduate School of Engineering, Tottori University","institution_ids":["https://openalex.org/I4588055"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059654927","display_name":"Yoshio Iwai","orcid":"https://orcid.org/0000-0003-2248-4563"},"institutions":[{"id":"https://openalex.org/I4588055","display_name":"Tottori University","ror":"https://ror.org/024yc3q36","country_code":"JP","type":"education","lineage":["https://openalex.org/I4588055"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshio Iwai","raw_affiliation_strings":["Tottori University,Graduate School of Engineering","Cross-informatics Research Center, Tottori University","Graduate School of Engineering, Tottori University"],"affiliations":[{"raw_affiliation_string":"Tottori University,Graduate School of Engineering","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Cross-informatics Research Center, Tottori University","institution_ids":["https://openalex.org/I4588055"]},{"raw_affiliation_string":"Graduate School of Engineering, Tottori University","institution_ids":["https://openalex.org/I4588055"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064197433"],"corresponding_institution_ids":["https://openalex.org/I4588055"],"apc_list":null,"apc_paid":null,"fwci":0.3214,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39378395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"31","issue":null,"first_page":"293","last_page":"296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9969000220298767,"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":0.9969000220298767,"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":0.9929999709129333,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/body-posture","display_name":"Body posture","score":0.6178639531135559},{"id":"https://openalex.org/keywords/biomechanics","display_name":"Biomechanics","score":0.5839600563049316},{"id":"https://openalex.org/keywords/body-segment","display_name":"Body segment","score":0.5514671206474304},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5488623976707458},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.5387452840805054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44027864933013916},{"id":"https://openalex.org/keywords/balance","display_name":"Balance (ability)","score":0.4336935877799988},{"id":"https://openalex.org/keywords/body-surface","display_name":"Body surface","score":0.4283340573310852},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37729641795158386},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.36517077684402466},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17058205604553223},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15594539046287537},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.05986437201499939}],"concepts":[{"id":"https://openalex.org/C2987268071","wikidata":"https://www.wikidata.org/wiki/Q29034095","display_name":"Body posture","level":2,"score":0.6178639531135559},{"id":"https://openalex.org/C170700871","wikidata":"https://www.wikidata.org/wiki/Q193378","display_name":"Biomechanics","level":2,"score":0.5839600563049316},{"id":"https://openalex.org/C2994181892","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Body segment","level":2,"score":0.5514671206474304},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5488623976707458},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.5387452840805054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44027864933013916},{"id":"https://openalex.org/C168031717","wikidata":"https://www.wikidata.org/wiki/Q1530280","display_name":"Balance (ability)","level":2,"score":0.4336935877799988},{"id":"https://openalex.org/C3020541326","wikidata":"https://www.wikidata.org/wiki/Q1796666","display_name":"Body surface","level":2,"score":0.4283340573310852},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37729641795158386},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.36517077684402466},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17058205604553223},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15594539046287537},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.05986437201499939},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lifetech53646.2022.9754865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lifetech53646.2022.9754865","pdf_url":null,"source":{"id":"https://openalex.org/S4363607953","display_name":"2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1969631083","https://openalex.org/W2083960888","https://openalex.org/W2157598322","https://openalex.org/W2204750386","https://openalex.org/W2781191441","https://openalex.org/W2907490698","https://openalex.org/W2963901085","https://openalex.org/W6687888618","https://openalex.org/W6747508001"],"related_works":["https://openalex.org/W3120330999","https://openalex.org/W2391538863","https://openalex.org/W1998774960","https://openalex.org/W4390266092","https://openalex.org/W2336308833","https://openalex.org/W4234357799","https://openalex.org/W1996292196","https://openalex.org/W3111265545","https://openalex.org/W1546691606","https://openalex.org/W3111881936"],"abstract_inverted_index":{"Body":[0,13],"sway":[1,14,73,102,110],"has":[2,41],"been":[3,42],"attracting":[4],"attention":[5],"as":[6],"an":[7],"informative":[8],"cue":[9],"for":[10],"identifying":[11],"people.":[12],"is":[15,25],"a":[16,23,76],"minute":[17],"movement":[18],"that":[19,45,87],"occurs":[20],"naturally":[21],"when":[22,28,78,112],"person":[24],"standing,":[26],"even":[27],"they":[29],"consciously":[30],"try":[31],"to":[32],"stop":[33],"it.":[34],"In":[35],"the":[36,57,68,83,88,93,97,105],"field":[37],"of":[38,59,71,96,100,108],"biomechanics,":[39],"it":[40],"analytically":[43],"reported":[44],"shoes":[46],"affect":[47],"body":[48,63,72,101,109],"sway.":[49,64],"However,":[50],"these":[51],"analytical":[52],"studies":[53],"did":[54],"not":[55],"consider":[56],"effect":[58],"shoe":[60,113],"insoles":[61,79,114],"on":[62],"Here,":[65],"we":[66],"investigated":[67],"identification":[69,89],"performance":[70,90],"recorded":[74],"by":[75],"camera":[77],"were":[80,115],"placed":[81],"in":[82],"shoes.":[84],"We":[85],"found":[86],"significantly":[91],"decreased,":[92],"low-frequency":[94],"components":[95],"frequency":[98],"response":[99],"increased,":[103],"and":[104],"maximum":[106],"magnitude":[107],"increased":[111],"worn.":[116]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
