{"id":"https://openalex.org/W3187259510","doi":"https://doi.org/10.1109/islped52811.2021.9502506","title":"Gesture-SNN: Co-optimizing accuracy, latency and energy of SNNs for neuromorphic vision sensors","display_name":"Gesture-SNN: Co-optimizing accuracy, latency and energy of SNNs for neuromorphic vision sensors","publication_year":2021,"publication_date":"2021-07-26","ids":{"openalex":"https://openalex.org/W3187259510","doi":"https://doi.org/10.1109/islped52811.2021.9502506","mag":"3187259510"},"language":"en","primary_location":{"id":"doi:10.1109/islped52811.2021.9502506","is_oa":false,"landing_page_url":"https://doi.org/10.1109/islped52811.2021.9502506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)","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/A5058385222","display_name":"Sonali Singh","orcid":"https://orcid.org/0000-0002-5498-5744"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sonali Singh","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, The Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067815274","display_name":"Anup Sarma","orcid":"https://orcid.org/0000-0002-0098-4498"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anup Sarma","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, The Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067079504","display_name":"Sen Lu","orcid":"https://orcid.org/0009-0005-0589-5207"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sen Lu","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, The Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032635465","display_name":"Abhronil Sengupta","orcid":"https://orcid.org/0000-0002-5545-4494"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhronil Sengupta","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, The Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101919131","display_name":"Vijaykrishnan Narayanan","orcid":"https://orcid.org/0000-0001-6266-6068"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijaykrishnan Narayanan","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, The Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054027488","display_name":"Chita R. Das","orcid":"https://orcid.org/0000-0002-4746-7578"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chita R. Das","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, The Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5058385222"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":1.103,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.77096897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T12236","display_name":"Photoreceptor and optogenetics research","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9894000291824341,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.9272052049636841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8254985809326172},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.8161941766738892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5267702341079712},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4740816354751587},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4562564492225647},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4374946653842926},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3937314450740814}],"concepts":[{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.9272052049636841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8254985809326172},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.8161941766738892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5267702341079712},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4740816354751587},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4562564492225647},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4374946653842926},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3937314450740814},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/islped52811.2021.9502506","is_oa":false,"landing_page_url":"https://doi.org/10.1109/islped52811.2021.9502506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6100000143051147,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1645800954","https://openalex.org/W1963689209","https://openalex.org/W1980178290","https://openalex.org/W1987927386","https://openalex.org/W2016574277","https://openalex.org/W2109596721","https://openalex.org/W2733297609","https://openalex.org/W2745933219","https://openalex.org/W2775079417","https://openalex.org/W2783525259","https://openalex.org/W2914117107","https://openalex.org/W2949651942","https://openalex.org/W2963091188","https://openalex.org/W2964338223","https://openalex.org/W2984844508","https://openalex.org/W2998119008","https://openalex.org/W3037354233","https://openalex.org/W3038702532","https://openalex.org/W3040838455","https://openalex.org/W3091431973","https://openalex.org/W4226051885","https://openalex.org/W4288359107"],"related_works":["https://openalex.org/W3089892344","https://openalex.org/W2960220682","https://openalex.org/W4313442939","https://openalex.org/W4386227293","https://openalex.org/W4372267706","https://openalex.org/W2885510266","https://openalex.org/W4288055417","https://openalex.org/W4205804651","https://openalex.org/W4287758233","https://openalex.org/W3136467750"],"abstract_inverted_index":{"As":[0],"originally":[1],"published":[2],"figures":[3],"in":[4],"the":[5,16,132,165,177,180,188,197],"document":[6],"were":[7],"missing.":[8],"A":[9],"corrected":[10],"replacement":[11],"file":[12],"was":[13],"provided":[14],"by":[15],"authors.":[17],"<br/>":[18],"Spiking":[19],"neural":[20,93],"networks":[21,94],"(SNNs)":[22],"are":[23,64],"recently":[24],"gaining":[25],"popularity":[26],"due":[27,78],"to":[28,36,79,102,136,143,163,176,195,234],"their":[29,80],"low-power,":[30],"spatio-temporal":[31],"computing":[32],"paradigm":[33],"as":[34,153,155],"opposed":[35],"more":[37,221],"conventional":[38],"deep":[39,73,91],"learning":[40],"approaches":[41],"that":[42,63,127,214],"mainly":[43],"focus":[44],"on":[45,112,168,179,207],"spatial":[46],"characteristics":[47],"of":[48,120,131,187],"data.":[49],"When":[50],"paired":[51],"with":[52,223],"biologically-inspired":[53],"asynchronous":[54],"event":[55,138,169],"sensors,":[56],"they":[57],"can":[58],"create":[59],"energy-efficient":[60],"near-sensor":[61],"systems":[62],"ideal":[65],"for":[66],"mobile,":[67],"resource-constrained":[68],"and":[69,98,171,212,228],"embedded-computing":[70],"scenarios.":[71],"Training":[72],"SNNs,":[74],"however,":[75],"is":[76,218],"challenging":[77],"discrete":[81],"nature.":[82],"The":[83,104],"most":[84],"successful":[85],"method":[86],"so":[87],"far":[88],"involves":[89],"training":[90],"artificial":[92],"(ANNs)":[95],"using":[96,117],"Gradient-Descent":[97],"then":[99],"converting":[100],"them":[101],"SNNs.":[103],"ANN-to-SNN":[105,133],"conversion":[106,134,166],"technique":[107,135],"has":[108],"mostly":[109],"been":[110],"evaluated":[111],"standard":[113],"static":[114],"image":[115],"datasets":[116],"rate-based":[118],"encoding":[119],"spikes.":[121],"In":[122],"this":[123],"work,":[124],"we":[125,158,202],"find":[126],"a":[128],"direct":[129],"application":[130],"process":[137],"data":[139,170],"via":[140],"SNNs":[141],"leads":[142],"arbitrary":[144],"accuracy":[145,167],"losses.":[146],"Through":[147],"insights":[148,194],"gained":[149],"from":[150],"theoretical":[151],"analyses":[152],"well":[154],"empirical":[156],"observations,":[157],"propose":[159],"three":[160],"novel":[161],"techniques":[162],"restore":[164],"show":[172,213],"proof-of-concept":[173],"results,":[174],"comparable":[175],"state-of-the-art,":[178],"IBM":[181],"DVS":[182],"Gesture":[183],"dataset.":[184],"Further":[185],"exploration":[186],"SNN":[189,237],"design":[190],"space":[191],"reveals":[192],"additional":[193],"fine-tune":[196],"accuracy-latency-peak":[198],"power":[199],"trade-off.":[200],"Finally,":[201],"evaluate":[203],"our":[204,215],"proposed":[205],"schemes":[206],"an":[208],"existing":[209],"neuromorphic":[210],"accelerator":[211],"best-performing":[216],"model":[217],"$\\sim":[219,224,229],"38$%":[220],"accurate":[222],"35$%":[225],"lower":[226,231],"energy":[227],"55$%":[230],"EDP":[232],"compared":[233],"its":[235],"traditional":[236],"counterpart.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}