{"id":"https://openalex.org/W4311224099","doi":"https://doi.org/10.1109/icecs202256217.2022.9970804","title":"NC-Emotions: Neuromorphic hardware accelerator design for facial emotion recognition","display_name":"NC-Emotions: Neuromorphic hardware accelerator design for facial emotion recognition","publication_year":2022,"publication_date":"2022-10-24","ids":{"openalex":"https://openalex.org/W4311224099","doi":"https://doi.org/10.1109/icecs202256217.2022.9970804"},"language":"en","primary_location":{"id":"doi:10.1109/icecs202256217.2022.9970804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs202256217.2022.9970804","pdf_url":null,"source":{"id":"https://openalex.org/S4363607963","display_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","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/A5030819301","display_name":"B S Ajay","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146682","display_name":"Intel (India)","ror":"https://ror.org/04f2n1245","country_code":"IN","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210146682"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ajay B S","raw_affiliation_strings":["Intel Technology India Pvt. Ltd.,Bangalore,India","Intel Technology India Pvt. Ltd., Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Intel Technology India Pvt. Ltd.,Bangalore,India","institution_ids":["https://openalex.org/I4210146682"]},{"raw_affiliation_string":"Intel Technology India Pvt. Ltd., Bangalore, India","institution_ids":["https://openalex.org/I4210146682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063618610","display_name":"Sumedh R. Risbud","orcid":"https://orcid.org/0000-0003-4777-1139"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sumedh R. Risbud","raw_affiliation_strings":["Intel Corporation,Intel Labs,Santa Clara,USA","Intel Labs, Intel Corporation, Santa Clara, USA"],"affiliations":[{"raw_affiliation_string":"Intel Corporation,Intel Labs,Santa Clara,USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Intel Labs, Intel Corporation, Santa Clara, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061397479","display_name":"Madhav Rao","orcid":"https://orcid.org/0000-0003-2278-9148"},"institutions":[{"id":"https://openalex.org/I181514455","display_name":"International Institute of Information Technology Bangalore","ror":"https://ror.org/05h9eqy10","country_code":"IN","type":"education","lineage":["https://openalex.org/I181514455"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Madhav Rao","raw_affiliation_strings":["International Institute of Information Technology,Bangalore,India","International Institute of Information Technology, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology,Bangalore,India","institution_ids":["https://openalex.org/I181514455"]},{"raw_affiliation_string":"International Institute of Information Technology, Bangalore, India","institution_ids":["https://openalex.org/I181514455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030819301"],"corresponding_institution_ids":["https://openalex.org/I4210146682"],"apc_list":null,"apc_paid":null,"fwci":0.9657,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71468806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9987999796867371,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9095767736434937},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6703906059265137},{"id":"https://openalex.org/keywords/anger","display_name":"Anger","score":0.614816427230835},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6138371229171753},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5865477919578552},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5617642402648926},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.49809813499450684},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.48016825318336487},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.44843050837516785},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4122036099433899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38594383001327515},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2871577739715576},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2789539098739624},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.15136080980300903},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09161052107810974}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9095767736434937},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6703906059265137},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.614816427230835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6138371229171753},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5865477919578552},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5617642402648926},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.49809813499450684},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.48016825318336487},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.44843050837516785},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4122036099433899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38594383001327515},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2871577739715576},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2789539098739624},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.15136080980300903},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09161052107810974},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecs202256217.2022.9970804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs202256217.2022.9970804","pdf_url":null,"source":{"id":"https://openalex.org/S4363607963","display_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2041616772","https://openalex.org/W2127725212","https://openalex.org/W2138913040","https://openalex.org/W2154024118","https://openalex.org/W2159951683","https://openalex.org/W2529087991","https://openalex.org/W2565125333","https://openalex.org/W2740562098","https://openalex.org/W2775079417","https://openalex.org/W2783525259","https://openalex.org/W2903271863","https://openalex.org/W2982986041","https://openalex.org/W3139657805","https://openalex.org/W3159815534","https://openalex.org/W3193774712","https://openalex.org/W3198957722","https://openalex.org/W3215905408","https://openalex.org/W4225708293","https://openalex.org/W4280621779","https://openalex.org/W4283796412","https://openalex.org/W4300223384","https://openalex.org/W6631190155","https://openalex.org/W6679198147","https://openalex.org/W6769831151"],"related_works":["https://openalex.org/W4206958732","https://openalex.org/W4287218656","https://openalex.org/W2810068957","https://openalex.org/W3126969908","https://openalex.org/W3164228065","https://openalex.org/W3094360146","https://openalex.org/W4313525808","https://openalex.org/W3109448977","https://openalex.org/W4287635891","https://openalex.org/W3034754805"],"abstract_inverted_index":{"Post-stroke":[0],"emotional":[1,48,100],"disturbances":[2,49],"are":[3,13],"common":[4,17],"and":[5,11,28,37,41,104,157,164],"distressing":[6],"for":[7,74,162],"the":[8,14,29,52,75,143],"patients.":[9,22,80],"Depression":[10],"anger":[12],"two":[15],"most":[16],"symptoms":[18,24],"seen":[19],"in":[20],"post-stroke":[21,79],"These":[23],"impact":[25],"patient's":[26],"life":[27],"caregivers":[30],"around":[31],"them,":[32],"leading":[33],"to":[34,97,116],"a":[35,87,118,127,133,155],"poor":[36],"deteriorating":[38],"life-style.":[39],"Timely":[40],"efficient":[42],"detection":[43],"of":[44,78,121,136,148],"such":[45],"often":[46],"unnoticed":[47],"can":[50],"facilitate":[51],"recovery":[53],"process":[54,77],"through":[55],"appropriate":[56],"medication.":[57],"A":[58],"reliable,":[59],"real-time,":[60,158],"low":[61],"power":[62,115],"emotion":[63],"recognition":[64],"system":[65],"on":[66,94,126],"an":[67],"edge":[68],"device":[69],"is":[70,124],"considered":[71],"highly":[72],"desirable":[73],"rehabilitation":[76],"In":[81],"this":[82],"context,":[83],"here":[84],"we":[85],"investigate":[86],"neuromorphic":[88,108],"convolutional":[89],"neural":[90],"network":[91],"(CNN)":[92],"executed":[93],"Intel":[95],"Loihi,":[96],"classify":[98],"three":[99],"states:":[101],"angry,":[102],"happy":[103],"sad.":[105],"The":[106],"proposed":[107],"solution":[109],"(NC-Emotions)":[110],"consumes":[111],"only":[112],"0.96":[113],"W":[114],"attain":[117],"near-state-of-the-art":[119],"accuracy":[120],"84.6%":[122],"(SoTA":[123],"86.2%":[125],"GPU,":[128],"consuming":[129],"\u223c35":[130],"W)":[131],"at":[132],"real-time":[134],"processing":[135],"25":[137],"ms":[138],"per":[139],"frame":[140,145],"which":[141],"satisfies":[142],"typical":[144],"arrival":[146],"period":[147],"33":[149],"ms.":[150],"NC-Emotions":[151],"model,":[152],"therefore,":[153],"provides":[154],"low-power,":[156],"edge-computing":[159],"solution,":[160],"suitable":[161],"domestic":[163],"clinical":[165],"applications.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}