{"id":"https://openalex.org/W2910072849","doi":"https://doi.org/10.1109/dicta.2018.8615791","title":"Convolutional 3D Attention Network for Video Based Freezing of Gait Recognition","display_name":"Convolutional 3D Attention Network for Video Based Freezing of Gait Recognition","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2910072849","doi":"https://doi.org/10.1109/dicta.2018.8615791","mag":"2910072849"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2018.8615791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","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/A5084528724","display_name":"Renfei Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Renfei Sun","raw_affiliation_strings":["[School of Information Technologies, The University of Sydney]"],"affiliations":[{"raw_affiliation_string":"[School of Information Technologies, The University of Sydney]","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443935","display_name":"Zhiyong Wang","orcid":"https://orcid.org/0000-0002-8043-0312"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhiyong Wang","raw_affiliation_strings":["[School of Information Technologies, The University of Sydney]"],"affiliations":[{"raw_affiliation_string":"[School of Information Technologies, The University of Sydney]","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002059914","display_name":"Kaylena A. Ehgoetz Martens","orcid":"https://orcid.org/0000-0002-8488-2295"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kaylena Ehgoetz Martens","raw_affiliation_strings":["Brain and Mind Centre, Sydney Medical School, The University of Sydney"],"affiliations":[{"raw_affiliation_string":"Brain and Mind Centre, Sydney Medical School, The University of Sydney","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086248686","display_name":"Simon J.G. Lewis","orcid":"https://orcid.org/0000-0002-4093-7071"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Simon Lewis","raw_affiliation_strings":["Brain and Mind Centre, Sydney Medical School, The University of Sydney"],"affiliations":[{"raw_affiliation_string":"Brain and Mind Centre, Sydney Medical School, The University of Sydney","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084528724"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":2.2785,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.89548336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9991000294685364,"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":0.9991000294685364,"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":0.9966999888420105,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/computer-science","display_name":"Computer science","score":0.7473902106285095},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.5963564515113831},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.578727662563324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4814583361148834},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3203366994857788},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.229862242937088},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0749174952507019}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7473902106285095},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.5963564515113831},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.578727662563324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4814583361148834},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3203366994857788},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.229862242937088},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0749174952507019}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta.2018.8615791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W136504859","https://openalex.org/W410625161","https://openalex.org/W1522734439","https://openalex.org/W1534763723","https://openalex.org/W1586730761","https://openalex.org/W1923404803","https://openalex.org/W1947481528","https://openalex.org/W1974704788","https://openalex.org/W1983364832","https://openalex.org/W1993229407","https://openalex.org/W2063153269","https://openalex.org/W2068611653","https://openalex.org/W2084627109","https://openalex.org/W2100686575","https://openalex.org/W2105101328","https://openalex.org/W2126579184","https://openalex.org/W2156303437","https://openalex.org/W2165715280","https://openalex.org/W2194775991","https://openalex.org/W2196918137","https://openalex.org/W2342662179","https://openalex.org/W2397481603","https://openalex.org/W2436347709","https://openalex.org/W2507009361","https://openalex.org/W2510185399","https://openalex.org/W2522485430","https://openalex.org/W2529163075","https://openalex.org/W2533739470","https://openalex.org/W2558799462","https://openalex.org/W2564023505","https://openalex.org/W2612494352","https://openalex.org/W2746726611","https://openalex.org/W2746920319","https://openalex.org/W2751884637","https://openalex.org/W2786360171","https://openalex.org/W2798472916","https://openalex.org/W2803613266","https://openalex.org/W2963218601","https://openalex.org/W6600983433","https://openalex.org/W6605536666","https://openalex.org/W6614097952","https://openalex.org/W6632082525","https://openalex.org/W6640257725","https://openalex.org/W6667415128","https://openalex.org/W6682864246","https://openalex.org/W6687045337","https://openalex.org/W6724944384","https://openalex.org/W6725062358","https://openalex.org/W6730581137","https://openalex.org/W6750357503","https://openalex.org/W6816404548"],"related_works":["https://openalex.org/W2748454020","https://openalex.org/W1891287906","https://openalex.org/W3119610945","https://openalex.org/W2036807459","https://openalex.org/W3181746755","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W2755342338"],"abstract_inverted_index":{"Freezing":[0],"of":[1,14,17,30,43,54,151,223,230,233,237,250,257],"gait":[2,53],"(FoG)":[3],"is":[4,26,61,104,183,255],"defined":[5],"as":[6,84,102],"a":[7,27,36,55,73,85,124,208,217],"brief,":[8],"episodic":[9],"absence":[10],"or":[11],"marked":[12],"reduction":[13],"forward":[15],"progression":[16],"the":[18,21,40,52,221,248,258],"feet":[19],"despite":[20],"intention":[22],"to":[23,50,76,135,166,173,185,193],"walk.":[24],"It":[25],"typical":[28],"symptom":[29],"Parkinson's":[31],"disease":[32],"(PD)":[33],"and":[34,64,107,159,192,235],"has":[35],"significant":[37],"impact":[38],"on":[39,207],"life":[41],"quality":[42],"PD":[44,214],"patients.":[45],"Generally":[46],"trained":[47],"experts":[48],"need":[49],"review":[51],"patient":[56],"for":[57,144,220],"clinical":[58,218,264],"diagnosis,":[59],"which":[60,239],"time":[62],"consuming":[63],"subjective.":[65],"Nowadays,":[66],"automatic":[67],"FoG":[68,82,103,224,262],"identification":[69,83],"from":[70,171,212,263],"videos":[71],"provides":[72],"promising":[74],"solution":[75],"address":[77,136],"these":[78],"issues":[79],"by":[80,116,139],"formulating":[81],"human":[86,93,243],"action":[87,94,126,244],"recognition":[88,95,127,245],"task.":[89],"However,":[90],"most":[91],"existing":[92],"algorithms":[96],"are":[97],"limited":[98],"in":[99,197,216,225],"this":[100,120,137],"task":[101],"very":[105],"subtle":[106],"can":[108],"be":[109],"easily":[110],"overlooked":[111],"when":[112],"being":[113],"interfered":[114],"with":[115],"irrelevant":[117],"motion.":[118],"In":[119],"paper,":[121],"we":[122],"propose":[123],"novel":[125],"algorithm,":[128],"namely":[129],"convolutional":[130,161],"3D":[131],"attention":[132,169,187],"network":[133,149,162],"(C3DAN),":[134],"issue":[138],"learning":[140],"an":[141,168,198],"informative":[142],"region":[143,170,188],"more":[145],"effective":[146],"recognition.":[147],"The":[148],"consists":[150],"two":[152],"main":[153],"parts:":[154],"Spatial":[155],"Attention":[156],"Network":[157],"(SAN)":[158],"3-dimensional":[160],"(C3D).":[163],"SAN":[164],"aims":[165],"generate":[167],"coarse":[172],"fine,":[174],"while":[175],"C3D":[176],"extracts":[177],"discriminative":[178,195],"features.":[179],"Our":[180],"proposed":[181,204],"approach":[182],"able":[184],"localize":[186],"without":[189],"manual":[190],"annotation":[191],"extract":[194],"features":[196],"end-to-end":[199],"way.":[200],"We":[201,227],"evaluate":[202],"our":[203,251,253],"C3DAN":[205],"method":[206],"video":[209],"dataset":[210],"collected":[211],"45":[213],"patients":[215],"setting":[219],"quantification":[222],"PD.":[226],"obtained":[228],"sensitivity":[229],"68.2%,":[231],"specificity":[232],"80.8%":[234],"accuracy":[236],"79.3%,":[238],"outperformed":[240],"several":[241],"state-of-the-art":[242],"methods.":[246],"To":[247],"best":[249],"knowledge,":[252],"work":[254],"one":[256],"first":[259],"studies":[260],"detecting":[261],"videos.":[265]},"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":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
