{"id":"https://openalex.org/W7125921892","doi":"https://doi.org/10.1109/smc58881.2025.11343145","title":"EgoEvGesture: Gesture Recognition Based on Egocentric Event Camera","display_name":"EgoEvGesture: Gesture Recognition Based on Egocentric Event Camera","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125921892","doi":"https://doi.org/10.1109/smc58881.2025.11343145"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5124130068","display_name":"Luming Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luming Wang","raw_affiliation_strings":["Zhejiang University,State Key Laboratory of Extreme Photonics and Instrumentation,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,State Key Laboratory of Extreme Photonics and Instrumentation,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100627106","display_name":"Hao Shi","orcid":"https://orcid.org/0000-0003-0184-2245"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Shi","raw_affiliation_strings":["Zhejiang University,State Key Laboratory of Extreme Photonics and Instrumentation,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,State Key Laboratory of Extreme Photonics and Instrumentation,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034820064","display_name":"Xiaoting Yin","orcid":"https://orcid.org/0000-0001-7708-7819"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoting Yin","raw_affiliation_strings":["Zhejiang University,State Key Laboratory of Extreme Photonics and Instrumentation,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,State Key Laboratory of Extreme Photonics and Instrumentation,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124145437","display_name":"Kailun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kailun Yang","raw_affiliation_strings":["Hunan University,School of Artificial Intelligence and Robotics,China"],"affiliations":[{"raw_affiliation_string":"Hunan University,School of Artificial Intelligence and Robotics,China","institution_ids":["https://openalex.org/I4210121405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124067796","display_name":"Kaiwei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiwei Wang","raw_affiliation_strings":["Zhejiang University,State Key Laboratory of Extreme Photonics and Instrumentation,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,State Key Laboratory of Extreme Photonics and Instrumentation,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101003795","display_name":"Juan Bai","orcid":"https://orcid.org/0000-0002-2986-1643"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Bai","raw_affiliation_strings":["Zhejiang University,State Key Laboratory of Extreme Photonics and Instrumentation,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,State Key Laboratory of Extreme Photonics and Instrumentation,China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5124130068"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7148611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6606","last_page":"6613"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.5145999789237976,"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":0.5145999789237976,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.22519999742507935,"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"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.053199999034404755,"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/gesture","display_name":"Gesture","score":0.6424999833106995},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.597100019454956},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5478000044822693},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5162000060081482},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4950000047683716},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.48179998993873596},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.42579999566078186},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.41819998621940613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.822700023651123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.708299994468689},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6424999833106995},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.597100019454956},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5687999725341797},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5478000044822693},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5162000060081482},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4950000047683716},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.48179998993873596},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.42579999566078186},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.41819998621940613},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.41179999709129333},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4000000059604645},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.36489999294281006},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.34209999442100525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.3174000084400177},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.30799999833106995},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3077000081539154},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.28380000591278076}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2605973302","https://openalex.org/W2606627193","https://openalex.org/W2745933219","https://openalex.org/W2791526950","https://openalex.org/W2994662721","https://openalex.org/W3021013305","https://openalex.org/W3040838455","https://openalex.org/W3048921023","https://openalex.org/W3202237431","https://openalex.org/W3203771370","https://openalex.org/W4313003697","https://openalex.org/W4313031313","https://openalex.org/W4313071313","https://openalex.org/W4321512628","https://openalex.org/W4384822009","https://openalex.org/W4386071518","https://openalex.org/W4386076309","https://openalex.org/W4386076611","https://openalex.org/W4387036443","https://openalex.org/W4391305817","https://openalex.org/W4393170516","https://openalex.org/W4396782959","https://openalex.org/W4399070666","https://openalex.org/W4399563863","https://openalex.org/W4401023135","https://openalex.org/W4402704557","https://openalex.org/W4402754066","https://openalex.org/W4403081605","https://openalex.org/W4403778765","https://openalex.org/W4403878232","https://openalex.org/W4404600524","https://openalex.org/W4405892683","https://openalex.org/W4410719315"],"related_works":[],"abstract_inverted_index":{"Egocentric":[0],"gesture":[1,83,130,165],"recognition":[2,166],"is":[3],"a":[4,90,102,117,134,214],"pivotal":[5],"technology":[6],"for":[7,96,163],"enhancing":[8],"natural":[9],"human-computer":[10],"interaction,":[11],"yet":[12],"traditional":[13],"RGB-based":[14,42],"solutions":[15],"suffer":[16],"from":[17,59,129,198,207],"motion":[18],"blur":[19],"and":[20,75,132,145,202,226,237],"illumination":[21],"variations":[22],"in":[23,32,47,194],"dynamic":[24,35],"scenarios.":[25],"While":[26],"event":[27,50,63,97,168],"cameras":[28,64],"show":[29],"distinct":[30],"advantages":[31],"handling":[33],"high":[34,199],"range":[36],"with":[37,105,183],"ultra-low":[38],"power":[39],"consumption,":[40],"existing":[41],"architectures":[43],"face":[44],"inherent":[45],"limitations":[46],"processing":[48],"asynchronous":[49],"streams":[51],"due":[52],"to":[53,109,148],"their":[54],"synchronous":[55],"frame-based":[56],"nature.":[57],"Moreover,":[58,210],"an":[60],"egocentric":[61,164],"perspective,":[62],"record":[65],"data":[66,98],"that":[67,124,140,173],"includes":[68],"events":[69,151],"generated":[70],"by":[71],"both":[72],"head":[73,126],"movements":[74],"hand":[76],"gestures,":[77],"thereby":[78],"increasing":[79],"the":[80,156,159,220,224],"complexity":[81],"of":[82,217,229],"recognition.":[84],"To":[85],"address":[86],"this,":[87],"we":[88],"propose":[89],"novel":[91],"network":[92],"architecture":[93],"specifically":[94],"designed":[95],"processing,":[99],"incorporating":[100],"(1)":[101],"lightweight":[103],"CNN":[104],"asymmetric":[106],"depthwise":[107],"convolutions":[108],"reduce":[110],"parameters":[111],"while":[112],"preserving":[113],"spatiotemporal":[114],"features,":[115],"(2)":[116],"plug-and-play":[118],"state-space":[119],"model":[120],"as":[121],"context":[122],"block":[123],"decouples":[125],"movement":[127],"noise":[128],"dynamics,":[131],"(3)":[133],"parameter-free":[135],"Bins-Temporal":[136],"Shift":[137],"Module":[138],"(BTSM)":[139],"shifts":[141],"features":[142],"along":[143],"bins":[144],"temporal":[146],"dimensions":[147],"fuse":[149],"sparse":[150],"efficiently.":[152],"We":[153],"further":[154],"establish":[155],"EgoEvGesture":[157],"dataset,":[158],"first":[160],"large-scale":[161],"dataset":[162,236],"using":[167],"cameras.":[169],"Experimental":[170],"results":[171],"demonstrate":[172],"our":[174,211,230],"method":[175,231],"achieves":[176],"62.7%":[177],"accuracy":[178,216],"tested":[179],"on":[180,219,232],"unseen":[181,203],"subjects":[182],"only":[184],"7M":[185],"parameters,":[186],"3.1%":[187],"higher":[188],"than":[189],"state-of-the-art":[190],"approaches.":[191],"Notable":[192],"misclassifications":[193],"freestyle":[195],"motions":[196],"stem":[197],"interpersonal":[200],"variability":[201],"test":[204],"patterns":[205],"differing":[206],"training":[208],"data.":[209],"approach":[212],"achieved":[213],"remarkable":[215],"97.0%":[218],"DVS128":[221],"Gesture,":[222],"demonstrating":[223],"effectiveness":[225],"generalization":[227],"capability":[228],"public":[233],"datasets.":[234],"The":[235],"models":[238],"are":[239],"made":[240],"available":[241],"at":[242],"https://github.com/3190105222/EgoEv_Gesture.":[243]},"counts_by_year":[],"updated_date":"2026-01-29T23:17:01.242718","created_date":"2026-01-29T00:00:00"}
