{"id":"https://openalex.org/W4312959585","doi":"https://doi.org/10.1109/iscc55528.2022.9912923","title":"Automatic Detector of Gait Alterations using RGB-D sensor and supervised classifiers: a preliminary study","display_name":"Automatic Detector of Gait Alterations using RGB-D sensor and supervised classifiers: a preliminary study","publication_year":2022,"publication_date":"2022-06-30","ids":{"openalex":"https://openalex.org/W4312959585","doi":"https://doi.org/10.1109/iscc55528.2022.9912923"},"language":"en","primary_location":{"id":"doi:10.1109/iscc55528.2022.9912923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc55528.2022.9912923","pdf_url":null,"source":{"id":"https://openalex.org/S4363605780","display_name":"2022 IEEE Symposium on Computers and Communications (ISCC)","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 Symposium on Computers and Communications (ISCC)","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/A5012050106","display_name":"Claudia Ferraris","orcid":"https://orcid.org/0000-0001-5381-4794"},"institutions":[{"id":"https://openalex.org/I4210100607","display_name":"Institute of Electronics, Computer and Telecommunication Engineering","ror":"https://ror.org/00n4jbh84","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Claudia Ferraris","raw_affiliation_strings":["Information Engineering and Telecommunication National Research Council,Turin,Italy","Information Engineering and Telecommunication National Research Council, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Information Engineering and Telecommunication National Research Council,Turin,Italy","institution_ids":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]},{"raw_affiliation_string":"Information Engineering and Telecommunication National Research Council, Turin, Italy","institution_ids":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082917039","display_name":"Gianluca Amprimo","orcid":"https://orcid.org/0000-0003-4061-8211"},"institutions":[{"id":"https://openalex.org/I4210100607","display_name":"Institute of Electronics, Computer and Telecommunication Engineering","ror":"https://ror.org/00n4jbh84","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianluca Amprimo","raw_affiliation_strings":["Information Engineering and Telecommunication National Research Council,Turin,Italy","Information Engineering and Telecommunication National Research Council, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Information Engineering and Telecommunication National Research Council,Turin,Italy","institution_ids":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]},{"raw_affiliation_string":"Information Engineering and Telecommunication National Research Council, Turin, Italy","institution_ids":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026190672","display_name":"Giuseppe Pettiti","orcid":"https://orcid.org/0000-0003-0547-0143"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210100607","display_name":"Institute of Electronics, Computer and Telecommunication Engineering","ror":"https://ror.org/00n4jbh84","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Pettiti","raw_affiliation_strings":["Information Engineering and Telecommunication National Research Council,Turin,Italy","Information Engineering and Telecommunication National Research Council, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Information Engineering and Telecommunication National Research Council,Turin,Italy","institution_ids":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]},{"raw_affiliation_string":"Information Engineering and Telecommunication National Research Council, Turin, Italy","institution_ids":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023674209","display_name":"Giulia Masi","orcid":"https://orcid.org/0000-0003-1940-2934"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulia Masi","raw_affiliation_strings":["“Rita Levi Montalcini” University of Turin,Department of Neuroscience,Turin,Italy"],"affiliations":[{"raw_affiliation_string":"“Rita Levi Montalcini” University of Turin,Department of Neuroscience,Turin,Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019110523","display_name":"Lorenzo Priano","orcid":"https://orcid.org/0000-0002-7012-6501"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Priano","raw_affiliation_strings":["“Rita Levi Montalcini” University of Turin,Department of Neuroscience,Turin,Italy"],"affiliations":[{"raw_affiliation_string":"“Rita Levi Montalcini” University of Turin,Department of Neuroscience,Turin,Italy","institution_ids":["https://openalex.org/I55143463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5012050106"],"corresponding_institution_ids":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"],"apc_list":null,"apc_paid":null,"fwci":0.3206,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52444176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"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":0.9904999732971191,"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":0.9904999732971191,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.972599983215332,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.8034945726394653},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.5702544450759888},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.5052357316017151},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4744980037212372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46886828541755676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46362069249153137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3930976390838623},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.27336540818214417}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.8034945726394653},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.5702544450759888},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.5052357316017151},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4744980037212372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46886828541755676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46362069249153137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3930976390838623},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.27336540818214417},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc55528.2022.9912923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc55528.2022.9912923","pdf_url":null,"source":{"id":"https://openalex.org/S4363605780","display_name":"2022 IEEE Symposium on Computers and Communications (ISCC)","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 Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2133973503","https://openalex.org/W2471060339","https://openalex.org/W2148547327","https://openalex.org/W1989734657","https://openalex.org/W4226236273","https://openalex.org/W2125892956","https://openalex.org/W2790560349","https://openalex.org/W4226004263","https://openalex.org/W2130975749","https://openalex.org/W2493973380"],"abstract_inverted_index":{"Alterations":[0],"in":[1,6],"walking":[2,94],"patterns":[3],"are":[4,102,114,144],"widespread":[5],"the":[7,12,30,48,85,105],"elderly":[8],"population":[9],"due":[10],"to":[11,22,46,68,108,117,120],"motor":[13],"decline":[14],"typical":[15],"of":[16,32,50,132],"aging":[17],"and":[18,53,65,77,124,129,146],"other":[19],"comorbidities":[20],"related":[21],"movement":[23],"disorders,":[24],"such":[25,35],"as":[26,36],"Parkinson's":[27],"disease,":[28],"or":[29],"consequences":[31],"acute":[33],"events":[34],"stroke.":[37],"Early":[38],"detection":[39],"allows":[40],"promptly":[41],"activating":[42],"specific":[43],"rehabilitation":[44],"treatments":[45],"reduce":[47],"risk":[49],"falls,":[51],"injuries,":[52],"hospitalizations.":[54],"This":[55],"paper":[56],"presents":[57],"a":[58,92],"non-invasive":[59],"solution":[60],"based":[61],"on":[62,91,139],"Azure":[63],"Kinect":[64],"machine":[66],"learning":[67],"detect":[69],"gait":[70,90,110,126],"alterations":[71,143],"(i.e.,":[72],"slow-speed":[73],"gait,":[74,76],"short-step":[75],"dangling":[78],"gait).":[79],"The":[80],"body":[81],"tracking":[82],"algorithm":[83],"captures":[84],"3D":[86],"skeletal":[87],"model":[88],"during":[89],"straight":[93],"path":[95],"compatible":[96],"with":[97],"domestic":[98],"environments.":[99],"Some":[100],"parameters":[101,113],"estimated":[103],"from":[104],"virtual":[106],"skeleton":[107],"characterize":[109],"objectively.":[111],"These":[112],"then":[115],"fed":[116],"supervised":[118],"classifiers":[119],"distinguish":[121],"between":[122,130],"normal":[123],"altered":[125],"(binary":[127],"classification)":[128],"types":[131],"alter-ations":[133],"(multi-classes":[134],"classification).":[135],"Preliminary":[136],"results":[137],"obtained":[138],"healthy":[140],"volunteers":[141],"simulating":[142],"presented":[145],"discussed.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}