{"id":"https://openalex.org/W4413018384","doi":"https://doi.org/10.1109/fg61629.2025.11099263","title":"Trajectory-guided Motion Perception for Facial Expression Quality Assessment in Neurological Disorders","display_name":"Trajectory-guided Motion Perception for Facial Expression Quality Assessment in Neurological Disorders","publication_year":2025,"publication_date":"2025-05-26","ids":{"openalex":"https://openalex.org/W4413018384","doi":"https://doi.org/10.1109/fg61629.2025.11099263"},"language":"en","primary_location":{"id":"doi:10.1109/fg61629.2025.11099263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg61629.2025.11099263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG)","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/A5080034650","display_name":"Shuchao Duan","orcid":"https://orcid.org/0000-0002-3168-3196"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuchao Duan","raw_affiliation_strings":["School of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036536935","display_name":"Amirhossein Dadashzadeh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amirhossein Dadashzadeh","raw_affiliation_strings":["School of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001902655","display_name":"Alan Whone","orcid":"https://orcid.org/0000-0002-8931-4422"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alan Whone","raw_affiliation_strings":["University of Bristol,Translational Health Sciences,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol,Translational Health Sciences,UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007937949","display_name":"Majid Mirmehdi","orcid":"https://orcid.org/0000-0002-6478-1403"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Majid Mirmehdi","raw_affiliation_strings":["School of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15426157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9990000128746033,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9761999845504761,"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/perception","display_name":"Perception","score":0.6664386987686157},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6587230563163757},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.602907121181488},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5684125423431396},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5561971068382263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.543430745601654},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49839353561401367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45831674337387085},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4266703426837921},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.36811238527297974},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24724584817886353},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.24673321843147278},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20380455255508423},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05992761254310608}],"concepts":[{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6664386987686157},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6587230563163757},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.602907121181488},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5684125423431396},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5561971068382263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.543430745601654},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49839353561401367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45831674337387085},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4266703426837921},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.36811238527297974},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24724584817886353},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.24673321843147278},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20380455255508423},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05992761254310608},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg61629.2025.11099263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg61629.2025.11099263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG)","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":61,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W2099634219","https://openalex.org/W2101545465","https://openalex.org/W2105101328","https://openalex.org/W2126574503","https://openalex.org/W2140978740","https://openalex.org/W2461965084","https://openalex.org/W2494003266","https://openalex.org/W2526041356","https://openalex.org/W2560662850","https://openalex.org/W2905550006","https://openalex.org/W3004782605","https://openalex.org/W3033048399","https://openalex.org/W3034552680","https://openalex.org/W3035714233","https://openalex.org/W3081128856","https://openalex.org/W3083688670","https://openalex.org/W3093370878","https://openalex.org/W3093404270","https://openalex.org/W3120876311","https://openalex.org/W3127681478","https://openalex.org/W3155418628","https://openalex.org/W3155665398","https://openalex.org/W3171010171","https://openalex.org/W3190528495","https://openalex.org/W3193654597","https://openalex.org/W3200592338","https://openalex.org/W3206349670","https://openalex.org/W4210792659","https://openalex.org/W4214657742","https://openalex.org/W4214916979","https://openalex.org/W4295916826","https://openalex.org/W4312774977","https://openalex.org/W4312785375","https://openalex.org/W4312901050","https://openalex.org/W4318927056","https://openalex.org/W4319993330","https://openalex.org/W4366338353","https://openalex.org/W4367844760","https://openalex.org/W4382240798","https://openalex.org/W4385623931","https://openalex.org/W4386071491","https://openalex.org/W4386374821","https://openalex.org/W4386575310","https://openalex.org/W4390871749","https://openalex.org/W4391042961","https://openalex.org/W4393156333","https://openalex.org/W4394692142","https://openalex.org/W4395065502","https://openalex.org/W4398220044","https://openalex.org/W4400653593","https://openalex.org/W4401157735","https://openalex.org/W4402170672","https://openalex.org/W4402242538","https://openalex.org/W4403906568","https://openalex.org/W4404439889","https://openalex.org/W4405140572","https://openalex.org/W4409366424","https://openalex.org/W6795402001","https://openalex.org/W6858998743","https://openalex.org/W6875549202"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W3131574667","https://openalex.org/W4360995134","https://openalex.org/W4248382324","https://openalex.org/W3023605104","https://openalex.org/W2039473718","https://openalex.org/W2642127892","https://openalex.org/W2101105382","https://openalex.org/W4254859857"],"abstract_inverted_index":{"Automated":[0],"facial":[1,28,38],"expression":[2],"quality":[3,91],"assessment":[4],"(FEQA)":[5],"in":[6,133],"neurological":[7,106],"disorders":[8],"is":[9,137],"critical":[10],"for":[11,73],"enhancing":[12],"diagnostic":[13],"accuracy":[14],"and":[15,25,113,128],"improving":[16],"patient":[17],"care,":[18],"yet":[19,43],"effectively":[20],"capturing":[21],"the":[22,86,126],"subtle":[23,49],"motions":[24,50],"nuances":[26],"of":[27,130],"muscle":[29],"movements":[30],"remains":[31],"a":[32,41,52,64,90],"challenge.":[33],"We":[34],"propose":[35],"to":[36],"analyse":[37],"landmark":[39,70,131],"trajectories,":[40],"compact":[42],"informative":[44],"representation,":[45],"that":[46,68,96],"encodes":[47],"these":[48],"from":[51,81],"high-level":[53],"structural":[54],"perspective.":[55],"Hence,":[56],"we":[57],"introduce":[58],"Trajectory-guided":[59],"Motion":[60],"Perception":[61],"Transformer":[62],"(TraMP-Former),":[63],"novel":[65],"FEQA":[66],"framework":[67],"fuses":[69],"trajectory":[71],"features":[72,88],"fine-grained":[74],"motion":[75],"capture":[76],"with":[77,105],"visual":[78],"semantic":[79],"cues":[80],"RGB":[82],"frames,":[83],"ultimately":[84],"regressing":[85],"combined":[87],"into":[89],"score.":[92],"Extensive":[93],"experiments":[94],"demonstrate":[95],"TraMP-Former":[97],"achieves":[98],"new":[99],"state-of-the-art":[100],"performance":[101],"on":[102],"bench-mark":[103],"datasets":[104],"disorders,":[107],"including":[108],"PFED5":[109],"($\\uparrow$":[110],"$6.51":[111],"\\%$)":[112],"an":[114],"augmented":[115],"Toronto":[116],"NeuroFace":[117],"($\\uparrow":[118],"7.62":[119],"\\%$).":[120],"Our":[121,135],"ablation":[122],"studies":[123],"further":[124],"validate":[125],"efficiency":[127],"effectiveness":[129],"trajectories":[132],"FEQA.":[134],"code":[136],"available":[138],"at":[139],"https://github.com/shuchaoduan/TraMP-Former.":[140]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
