{"id":"https://openalex.org/W4308650694","doi":"https://doi.org/10.1109/norcas57515.2022.9934412","title":"FPGA-Based Acceleration of Convolutional Neural Network for Gesture Recognition Using mm-Wave FMCW Radar","display_name":"FPGA-Based Acceleration of Convolutional Neural Network for Gesture Recognition Using mm-Wave FMCW Radar","publication_year":2022,"publication_date":"2022-10-25","ids":{"openalex":"https://openalex.org/W4308650694","doi":"https://doi.org/10.1109/norcas57515.2022.9934412"},"language":"en","primary_location":{"id":"doi:10.1109/norcas57515.2022.9934412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/norcas57515.2022.9934412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Nordic Circuits and Systems Conference (NorCAS)","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/A5009959094","display_name":"Rizwan Tariq Syed","orcid":"https://orcid.org/0000-0001-9232-734X"},"institutions":[{"id":"https://openalex.org/I96578850","display_name":"Leibniz Institute for Neurobiology","ror":"https://ror.org/01zwmgk08","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I96578850"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Rizwan Tariq Syed","raw_affiliation_strings":["IHP - Leibniz-Institut für innovative Mikroelektronik,Frankfurt (Oder),Germany"],"affiliations":[{"raw_affiliation_string":"IHP - Leibniz-Institut für innovative Mikroelektronik,Frankfurt (Oder),Germany","institution_ids":["https://openalex.org/I96578850"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000883390","display_name":"Yanhua Zhao","orcid":"https://orcid.org/0000-0002-1848-6550"},"institutions":[{"id":"https://openalex.org/I96578850","display_name":"Leibniz Institute for Neurobiology","ror":"https://ror.org/01zwmgk08","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I96578850"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yanhua Zhao","raw_affiliation_strings":["IHP - Leibniz-Institut für innovative Mikroelektronik,Frankfurt (Oder),Germany"],"affiliations":[{"raw_affiliation_string":"IHP - Leibniz-Institut für innovative Mikroelektronik,Frankfurt (Oder),Germany","institution_ids":["https://openalex.org/I96578850"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063940342","display_name":"Markus Ulbricht","orcid":"https://orcid.org/0000-0001-9230-640X"},"institutions":[{"id":"https://openalex.org/I96578850","display_name":"Leibniz Institute for Neurobiology","ror":"https://ror.org/01zwmgk08","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I96578850"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Ulbricht","raw_affiliation_strings":["IHP - Leibniz-Institut für innovative Mikroelektronik,Frankfurt (Oder),Germany"],"affiliations":[{"raw_affiliation_string":"IHP - Leibniz-Institut für innovative Mikroelektronik,Frankfurt (Oder),Germany","institution_ids":["https://openalex.org/I96578850"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088598558","display_name":"Vladica Sark","orcid":"https://orcid.org/0000-0003-4360-9951"},"institutions":[{"id":"https://openalex.org/I96578850","display_name":"Leibniz Institute for Neurobiology","ror":"https://ror.org/01zwmgk08","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I96578850"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vladica Sark","raw_affiliation_strings":["IHP - Leibniz-Institut für innovative Mikroelektronik,Frankfurt (Oder),Germany"],"affiliations":[{"raw_affiliation_string":"IHP - Leibniz-Institut für innovative Mikroelektronik,Frankfurt (Oder),Germany","institution_ids":["https://openalex.org/I96578850"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004959402","display_name":"Milo\u0161 Krsti\u0107","orcid":"https://orcid.org/0000-0003-0267-0203"},"institutions":[{"id":"https://openalex.org/I96578850","display_name":"Leibniz Institute for Neurobiology","ror":"https://ror.org/01zwmgk08","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I96578850"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Milos Krstic","raw_affiliation_strings":["IHP - Leibniz-Institut für innovative Mikroelektronik,Frankfurt (Oder),Germany"],"affiliations":[{"raw_affiliation_string":"IHP - Leibniz-Institut für innovative Mikroelektronik,Frankfurt (Oder),Germany","institution_ids":["https://openalex.org/I96578850"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009959094"],"corresponding_institution_ids":["https://openalex.org/I96578850"],"apc_list":null,"apc_paid":null,"fwci":0.5603,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69790062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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/T10828","display_name":"Biometric Identification and Security","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computer-science","display_name":"Computer science","score":0.7941724061965942},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7857937812805176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6251136064529419},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5152214169502258},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.4794786870479584},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.4726375937461853},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44954344630241394},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.4427468478679657},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44179999828338623},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.42339378595352173},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32054561376571655},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2135169506072998}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7941724061965942},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7857937812805176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6251136064529419},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5152214169502258},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.4794786870479584},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.4726375937461853},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44954344630241394},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.4427468478679657},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44179999828338623},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.42339378595352173},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32054561376571655},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2135169506072998},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/norcas57515.2022.9934412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/norcas57515.2022.9934412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Nordic Circuits and Systems Conference (NorCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3640412156","display_name":null,"funder_award_id":"16KISK009","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1599510591","https://openalex.org/W1977995219","https://openalex.org/W1987998205","https://openalex.org/W2469690627","https://openalex.org/W2531174837","https://openalex.org/W2766839578","https://openalex.org/W2783919917","https://openalex.org/W2789648429","https://openalex.org/W2793249135","https://openalex.org/W2883778377","https://openalex.org/W2902928518","https://openalex.org/W2964866569","https://openalex.org/W2982479999","https://openalex.org/W3016678144","https://openalex.org/W3028008698","https://openalex.org/W3034368386","https://openalex.org/W3035945385","https://openalex.org/W3085053693","https://openalex.org/W3107443367","https://openalex.org/W3108883825","https://openalex.org/W3110876735","https://openalex.org/W3119962849","https://openalex.org/W3128055845","https://openalex.org/W3138154797","https://openalex.org/W3175162712","https://openalex.org/W3175799302","https://openalex.org/W3184606595","https://openalex.org/W4293095188","https://openalex.org/W4297814548","https://openalex.org/W6745499037","https://openalex.org/W6786197769"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4225949190","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2],"(CNNs)":[3],"have":[4,104],"revo-lutionized":[5],"many":[6],"applications":[7],"in":[8,12,76,165],"recent":[9],"years,":[10],"especially":[11],"image":[13],"classification,":[14],"video":[15],"processing,":[16],"and":[17,34,70,74,113,117,145,161],"pattern":[18],"recognition.":[19],"Another":[20],"exciting":[21],"area":[22],"where":[23],"CNNs":[24,45],"are":[25,72],"becoming":[26],"popular":[27],"is":[28],"studying":[29],"the":[30,85,99,106,120,124,134],"interaction":[31,40],"between":[32],"humans":[33],"computers,":[35],"also":[36],"known":[37],"as":[38,67],"human-computer":[39],"(HCI).":[41],"Our":[42],"study":[43],"uses":[44],"to":[46,84,119,170],"classify":[47],"hand":[48],"gestures":[49],"(a":[50],"common":[51],"non-contact-based":[52],"HCI)":[53],"obtained":[54,73],"using":[55],"mmWave":[56],"Frequency-Modulated":[57],"Continuous":[58],"Wave":[59],"(FMCW)":[60],"radar.":[61],"For":[62],"each":[63],"gesture,":[64],"features":[65],"such":[66],"range,":[68],"velocity,":[69],"angle,":[71],"fused":[75],"one":[77,81],"feature":[78],"map,":[79],"forming":[80],"single":[82],"input":[83],"CNN":[86,90,125,137],"model.":[87,173],"The":[88],"proposed":[89],"model":[91,114],"has":[92],"achieved":[93],"exceptional":[94],"accuracy":[95,132],"of":[96,123],"99.33%":[97],"on":[98,127],"test":[100],"set.":[101],"Additionally,":[102],"we":[103],"discussed":[105],"complete":[107],"workflow":[108],"from":[109],"radar":[110],"data":[111],"preprocessing":[112],"compression":[115],"(quantization":[116],"pruning)":[118],"final":[121],"implementation":[122],"accelerator":[126,138],"FPGAs.":[128],"With":[129],"a":[130],"minimal":[131],"degradation,":[133],"most":[135],"optimized":[136],"can":[139],"process":[140],"64474.53":[141],"samples":[142],"per":[143],"second":[144],"consume":[146],"11.1":[147],"times":[148,153,157,163],"fewer":[149,154,158],"DSP":[150],"units,":[151],"1.27":[152],"BRAMs,":[155],"1.37":[156],"flip":[159],"flops,":[160],"2.52":[162],"reduction":[164],"100kup":[166],"tables":[167],"(LUTs)":[168],"compared":[169],"its":[171],"baseline":[172]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}