{"id":"https://openalex.org/W7162074798","doi":"https://doi.org/10.48550/arxiv.2605.22139","title":"EventGait: Towards Robust Gait Recognition with Event Streams","display_name":"EventGait: Towards Robust Gait Recognition with Event Streams","publication_year":2026,"publication_date":"2026-05-21","ids":{"openalex":"https://openalex.org/W7162074798","doi":"https://doi.org/10.48550/arxiv.2605.22139"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.22139","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.22139","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.22139","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136757536","display_name":"Senyan Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Senyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136787285","display_name":"Shuai Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Shuai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008722385","display_name":"Chuanfu Shen","orcid":"https://orcid.org/0000-0001-8782-5950"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Chuanfu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136790022","display_name":"Kean Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Kean","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136784597","display_name":"Zhijing Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Zhijing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136761557","display_name":"Chengzhi Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Chengzhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5079007635","display_name":"Xueyang Fu","orcid":"https://orcid.org/0000-0001-8036-4071"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Xueyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9596999883651733,"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":0.9596999883651733,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.008700000122189522,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.0032999999821186066,"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/robustness","display_name":"Robustness (evolution)","score":0.7497000098228455},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.7400000095367432},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.515500009059906},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4560999870300293},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4277999997138977},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"Temporal resolution","score":0.41110000014305115},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4052000045776367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3822999894618988}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7497000098228455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7432000041007996},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7400000095367432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6359000205993652},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5491999983787537},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.515500009059906},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4560999870300293},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4277999997138977},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.41110000014305115},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4052000045776367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3822999894618988},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.35019999742507935},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.3255000114440918},{"id":"https://openalex.org/C20864712","wikidata":"https://www.wikidata.org/wiki/Q667800","display_name":"Biological motion","level":3,"score":0.30660000443458557},{"id":"https://openalex.org/C60327585","wikidata":"https://www.wikidata.org/wiki/Q723733","display_name":"Millisecond","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C48575856","wikidata":"https://www.wikidata.org/wiki/Q852504","display_name":"Motion perception","level":3,"score":0.2872999906539917},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.2590999901294708},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.22139","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.22139","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.22139","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.22139","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.5057369470596313,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Gait":[0],"recognition":[1,26,162,171],"enables":[2],"non-intrusive,":[3],"privacy-preserving":[4],"identification":[5],"but":[6,175],"suffers":[7],"in":[8,180],"uncontrolled":[9],"environments":[10],"due":[11],"to":[12,168],"illumination":[13,113],"and":[14,35,44,83,112,147,153,195,203,211],"motion":[15,65,82,111],"sensitivity":[16],"of":[17,89,97,137,189,205],"conventional":[18],"cameras.":[19],"In":[20],"this":[21],"work,":[22],"we":[23,72,142],"explore":[24],"gait":[25,69,140,161,170,198,207],"using":[27],"event":[28,53,56],"cameras,":[29],"which":[30],"offer":[31],"microsecond":[32],"temporal":[33],"resolution":[34],"high":[36],"dynamic":[37,42,92,107],"range,":[38],"naturally":[39],"capturing":[40],"robust":[41,106],"cues":[43],"suppressing":[45],"static":[46,117],"noise.":[47],"Existing":[48],"event-based":[49,139,160,197],"approaches":[50],"typically":[51],"aggregate":[52],"streams":[54],"into":[55],"images":[57],"over":[58],"long":[59],"time":[60],"windows,":[61],"thereby":[62],"discarding":[63],"fine-grained":[64],"dynamics":[66],"critical":[67],"for":[68,105],"recognition.":[70],"Therefore,":[71],"propose":[73],"\\textbf{EventGait},":[74],"an":[75],"end-to-end":[76],"dual-stream":[77],"framework":[78],"that":[79,159],"separately":[80],"models":[81],"shape":[84,121],"while":[85,115],"preserving":[86],"the":[87,116,135,190,201],"advantages":[88],"events.":[90],"Our":[91,183],"stream":[93,118],"leverages":[94],"a":[95,144,186],"Mixture":[96],"Spiking":[98],"Experts":[99],"(MoSE)":[100],"with":[101,128],"diverse":[102],"neuron":[103],"constants":[104],"perception":[108],"across":[109],"complex":[110],"scenes,":[114],"learns":[119],"dense":[120],"representations":[122],"via":[123],"Cross-modal":[124],"Structure":[125],"Alignment":[126],"(CroSA)":[127],"large":[129],"vision":[130],"foundation":[131],"models.":[132],"To":[133],"address":[134],"absence":[136],"large-scale":[138],"datasets,":[141],"introduce":[143],"synthesis":[145],"pipeline":[146],"release":[148],"two":[149],"new":[150,187],"benchmarks:":[151],"SUSTech1K-E":[152],"CCGR-Mini-E.":[154],"Extensive":[155],"experiments":[156],"have":[157],"shown":[158],"not":[163],"only":[164],"achieves":[165],"results":[166],"comparable":[167],"camera-based":[169],"under":[172],"normal":[173],"conditions":[174],"also":[176],"significantly":[177],"outperforms":[178],"it":[179],"low-light":[181],"scenarios.":[182],"approach":[184],"sets":[185],"state":[188],"art":[191],"on":[192],"both":[193],"synthesized":[194],"real-world":[196],"benchmarks,":[199],"highlighting":[200],"robustness":[202],"potential":[204],"event-driven":[206],"analysis.":[208],"The":[209],"code":[210],"datasets":[212],"are":[213],"released":[214],"at":[215],"https://github.com/QUEAHREN/EventGait.":[216]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-23T00:00:00"}
