{"id":"https://openalex.org/W3189897383","doi":"https://doi.org/10.24963/ijcai.2021/240","title":"Event-based Action Recognition Using Motion Information and Spiking Neural Networks","display_name":"Event-based Action Recognition Using Motion Information and Spiking Neural Networks","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3189897383","doi":"https://doi.org/10.24963/ijcai.2021/240","mag":"3189897383"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/240","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/240","pdf_url":"https://www.ijcai.org/proceedings/2021/0240.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0240.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042687758","display_name":"Qianhui Liu","orcid":"https://orcid.org/0000-0003-4396-8807"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianhui Liu","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","Zhejiang Lab, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101130862","display_name":"Dong Xing","orcid":"https://orcid.org/0000-0003-3578-3343"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Xing","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","Zhejiang Lab, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057282687","display_name":"Huajin Tang","orcid":"https://orcid.org/0000-0002-9857-1543"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajin Tang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","Zhejiang Lab, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101655468","display_name":"De Ma","orcid":"https://orcid.org/0000-0001-8700-938X"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De Ma","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084291326","display_name":"Gang Pan","orcid":"https://orcid.org/0000-0002-4049-6181"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]},{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Pan","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","Zhejiang Lab, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1743","last_page":"1749"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10581","display_name":"Neural dynamics and brain function","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.819394588470459},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.7439664602279663},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7430811524391174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6468079686164856},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5456571578979492},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5374432802200317},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.5087984204292297},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5047057867050171},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4525812864303589},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4163650870323181},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.40880680084228516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3583239018917084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3388763964176178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.819394588470459},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.7439664602279663},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7430811524391174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6468079686164856},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5456571578979492},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5374432802200317},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.5087984204292297},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5047057867050171},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4525812864303589},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4163650870323181},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.40880680084228516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3583239018917084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3388763964176178},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/240","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/240","pdf_url":"https://www.ijcai.org/proceedings/2021/0240.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/240","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/240","pdf_url":"https://www.ijcai.org/proceedings/2021/0240.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G3775886161","display_name":null,"funder_award_id":"61925603","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3189897383.pdf","grobid_xml":"https://content.openalex.org/works/W3189897383.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1980178290","https://openalex.org/W1998339166","https://openalex.org/W2012842163","https://openalex.org/W2016574277","https://openalex.org/W2020096355","https://openalex.org/W2096691069","https://openalex.org/W2469278928","https://openalex.org/W2507540959","https://openalex.org/W2745933219","https://openalex.org/W2799049915","https://openalex.org/W2883294120","https://openalex.org/W2891530223","https://openalex.org/W2901297858","https://openalex.org/W2951417227","https://openalex.org/W2963144106","https://openalex.org/W2963510238","https://openalex.org/W2966513546","https://openalex.org/W2987260487","https://openalex.org/W2997498437","https://openalex.org/W3005985924","https://openalex.org/W3089954304","https://openalex.org/W3093471076","https://openalex.org/W3163388905"],"related_works":["https://openalex.org/W2116677773","https://openalex.org/W2155261584","https://openalex.org/W2584231425","https://openalex.org/W2042919702","https://openalex.org/W2150611273","https://openalex.org/W4207086172","https://openalex.org/W4225981436","https://openalex.org/W3126544799","https://openalex.org/W2945653898","https://openalex.org/W2156185805"],"abstract_inverted_index":{"Event-based":[0],"cameras":[1,20],"have":[2],"attracted":[3],"increasing":[4],"attention":[5],"due":[6],"to":[7,33,73,109,113,133,137],"their":[8],"advantages":[9],"of":[10,43,53,122,131,172],"biologically":[11],"inspired":[12],"paradigm":[13],"and":[14,105,111,175],"low":[15],"power":[16],"consumption.":[17],"Since":[18],"event-based":[19,60,95,138,148,181],"record":[21],"the":[22,36,51,59,77,82,120,123,128,170],"visual":[23,78,86],"input":[24],"as":[25],"asynchronous":[26],"discrete":[27],"events,":[28],"they":[29],"are":[30,62,103],"inherently":[31],"suitable":[32],"cooperate":[34],"with":[35],"spiking":[37],"neural":[38],"network":[39],"(SNN).":[40],"Existing":[41],"works":[42],"SNNs":[44],"for":[45,94,116,180],"processing":[46],"events":[47,57,108],"mainly":[48],"focus":[49],"on":[50,146],"task":[52],"object":[54],"recognition.":[55,118,140,183],"However,":[56],"from":[58,107],"camera":[61],"triggered":[63],"by":[64,81],"dynamic":[65],"changes,":[66],"which":[67],"makes":[68],"it":[69,126],"an":[70],"ideal":[71],"choice":[72],"capture":[74],"actions":[75,160],"in":[76,85],"scene.":[79],"Inspired":[80],"dorsal":[83],"stream":[84],"cortex,":[87],"we":[88],"propose":[89],"a":[90],"hierarchical":[91],"SNN":[92,132,145,178],"architecture":[93,179],"action":[96,117,139,149,182],"recognition":[97,150],"using":[98],"motion":[99,135,173],"information.":[100],"Motion":[101],"features":[102],"extracted":[104],"utilized":[106],"local":[110],"finally":[112],"global":[114],"perception":[115],"To":[119],"best":[121],"authors\u2019":[124],"knowledge,":[125],"is":[127],"first":[129],"attempt":[130],"apply":[134],"information":[136,174],"We":[141],"evaluate":[142],"our":[143,153,176],"proposed":[144,177],"three":[147],"datasets,":[151],"including":[152],"newly":[154],"published":[155],"DailyAction-DVS":[156],"dataset":[157],"comprising":[158],"12":[159],"collected":[161],"under":[162],"diverse":[163],"recording":[164],"conditions.":[165],"Extensive":[166],"experimental":[167],"results":[168],"show":[169],"effectiveness":[171]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
