{"id":"https://openalex.org/W2796593831","doi":"https://doi.org/10.1109/bhi.2018.8333381","title":"A pervasive and sensor-free Deep Learning system for Parkinsonian gait analysis","display_name":"A pervasive and sensor-free Deep Learning system for Parkinsonian gait analysis","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2796593831","doi":"https://doi.org/10.1109/bhi.2018.8333381","mag":"2796593831"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2018.8333381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2018.8333381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103703871","display_name":"Jerry Ajay","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jerry Ajay","raw_affiliation_strings":["Computer Science and Engineering Department, University at Buffalo (SUNY), NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, University at Buffalo (SUNY), NY","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chen Song","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen Song","raw_affiliation_strings":["Computer Science and Engineering Department, University at Buffalo (SUNY), NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, University at Buffalo (SUNY), NY","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014929946","display_name":"Aosen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aosen Wang","raw_affiliation_strings":["Computer Science and Engineering Department, University at Buffalo (SUNY), NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, University at Buffalo (SUNY), NY","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035742874","display_name":"Jeanne Langan","orcid":"https://orcid.org/0000-0003-1417-2180"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeanne Langan","raw_affiliation_strings":["Department of Rehabilitation Sciences, University at Buffalo (SUNY), NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Rehabilitation Sciences, University at Buffalo (SUNY), NY","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102814716","display_name":"Zhinan Li","orcid":"https://orcid.org/0000-0002-4584-048X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhinan Li","raw_affiliation_strings":["Sennotech Inc., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sennotech Inc., Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035679293","display_name":"Wenyao Xu","orcid":"https://orcid.org/0000-0001-6444-9411"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenyao Xu","raw_affiliation_strings":["Computer Science and Engineering Department, University at Buffalo (SUNY), NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, University at Buffalo (SUNY), NY","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"108","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9866999983787537,"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"}},"topics":[{"id":"https://openalex.org/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9866999983787537,"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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9850000143051147,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.982699990272522,"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":0.7503480911254883},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.7212669849395752},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6025312542915344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5793771743774414},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.47787895798683167},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4624024033546448},{"id":"https://openalex.org/keywords/parkinsons-disease","display_name":"Parkinson's disease","score":0.4247046113014221},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.4129215180873871},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13237985968589783}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7503480911254883},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.7212669849395752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6025312542915344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5793771743774414},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.47787895798683167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4624024033546448},{"id":"https://openalex.org/C2779734285","wikidata":"https://www.wikidata.org/wiki/Q11085","display_name":"Parkinson's disease","level":3,"score":0.4247046113014221},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.4129215180873871},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13237985968589783},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi.2018.8333381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2018.8333381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W201588874","https://openalex.org/W1994438169","https://openalex.org/W1996478295","https://openalex.org/W2013109646","https://openalex.org/W2013787102","https://openalex.org/W2050126131","https://openalex.org/W2119562457","https://openalex.org/W2134886133","https://openalex.org/W2148534872","https://openalex.org/W2162908184","https://openalex.org/W2324065775","https://openalex.org/W2519457600","https://openalex.org/W2559085405","https://openalex.org/W2620644358","https://openalex.org/W2621061298","https://openalex.org/W3101801952","https://openalex.org/W6649105473"],"related_works":["https://openalex.org/W2133973503","https://openalex.org/W2008860278","https://openalex.org/W2031771476","https://openalex.org/W2471060339","https://openalex.org/W2148547327","https://openalex.org/W1989734657","https://openalex.org/W4226236273","https://openalex.org/W2125892956","https://openalex.org/W4226004263","https://openalex.org/W2130975749"],"abstract_inverted_index":{"Parkinsonian":[0,15,41,93,107],"gait":[1,16,42,78,94,98,114],"is":[2,102],"associated":[3],"with":[4,109,115],"life-threatening":[5],"consequences":[6],"such":[7],"as":[8],"fall":[9],"risk":[10],"in":[11,64],"Parkinson":[12],"patients.":[13],"Conventional":[14],"analysis":[17,45],"heavily":[18],"relies":[19],"on":[20,85],"expensive":[21],"sensors":[22],"and":[23,39,44,68,95,112],"human":[24,62],"labor.":[25],"In":[26],"this":[27],"work,":[28],"we":[29,54,80],"propose":[30],"a":[31,82,86],"sensor-free":[32],"end-to-end":[33],"system":[34,101],"which":[35],"enables":[36],"the":[37,47,61,65,70,77,106],"automated":[38],"accurate":[40],"detection":[43],"upon":[46],"videos":[48],"recorded":[49],"by":[50],"pervasive":[51],"cameras.":[52],"Specifically,":[53],"leverage":[55],"Deep":[56],"Learning":[57],"technologies":[58],"to":[59,104],"extract":[60],"skeleton":[63],"video":[66],"frame":[67],"address":[69],"camera":[71],"random":[72],"angle":[73],"challenge.":[74],"By":[75],"analyzing":[76],"features,":[79],"train":[81],"classifier":[83],"based":[84],"binary":[87],"decision":[88],"tree.":[89],"Out":[90],"of":[91],"16":[92],"13":[96],"healthy":[97,113],"videos,":[99],"our":[100],"able":[103],"detect":[105],"Gait":[108],"93.75%":[110],"accuracy":[111],"100%":[116],"accuracy.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}