{"id":"https://openalex.org/W2593882908","doi":"https://doi.org/10.1109/isscc.2017.7870354","title":"14.6 A 0.62mW ultra-low-power convolutional-neural-network face-recognition processor and a CIS integrated with always-on haar-like face detector","display_name":"14.6 A 0.62mW ultra-low-power convolutional-neural-network face-recognition processor and a CIS integrated with always-on haar-like face detector","publication_year":2017,"publication_date":"2017-02-01","ids":{"openalex":"https://openalex.org/W2593882908","doi":"https://doi.org/10.1109/isscc.2017.7870354","mag":"2593882908"},"language":"en","primary_location":{"id":"doi:10.1109/isscc.2017.7870354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc.2017.7870354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Solid-State Circuits Conference (ISSCC)","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/A5067752227","display_name":"Kyeongryeol Bong","orcid":"https://orcid.org/0000-0001-9176-3668"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyeongryeol Bong","raw_affiliation_strings":["KAIST, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076373841","display_name":"Sungpill Choi","orcid":"https://orcid.org/0000-0002-8468-6374"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungpill Choi","raw_affiliation_strings":["KAIST, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017904278","display_name":"Changhyeon Kim","orcid":"https://orcid.org/0000-0001-6774-4539"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Changhyeon Kim","raw_affiliation_strings":["KAIST, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085959296","display_name":"Sanghoon Kang","orcid":"https://orcid.org/0000-0001-6557-2083"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghoon Kang","raw_affiliation_strings":["KAIST, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034582363","display_name":"Youchang Kim","orcid":"https://orcid.org/0000-0001-7689-6040"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youchang Kim","raw_affiliation_strings":["KAIST, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077896259","display_name":"Hoi\u2010Jun Yoo","orcid":"https://orcid.org/0000-0002-6661-4879"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hoi-Jun Yoo","raw_affiliation_strings":["KAIST, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.8355,"has_fulltext":false,"cited_by_count":130,"citation_normalized_percentile":{"value":0.98014728,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"248","last_page":"249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9975000023841858,"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/T10057","display_name":"Face and Expression Recognition","score":0.9975000023841858,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9932000041007996,"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/T11448","display_name":"Face recognition and analysis","score":0.988099992275238,"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/computer-science","display_name":"Computer science","score":0.7931893467903137},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6916911602020264},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6458051800727844},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6166622042655945},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5018734931945801},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.49556291103363037},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.49294114112854004},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46621543169021606},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.44971948862075806},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4440295696258545},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4419691264629364},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4347155690193176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4346919059753418},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4243162274360657},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3860267996788025},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.37216222286224365},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09941920638084412}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7931893467903137},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6916911602020264},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6458051800727844},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6166622042655945},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5018734931945801},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.49556291103363037},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.49294114112854004},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46621543169021606},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.44971948862075806},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4440295696258545},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4419691264629364},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4347155690193176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4346919059753418},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4243162274360657},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3860267996788025},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.37216222286224365},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09941920638084412},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isscc.2017.7870354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc.2017.7870354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Solid-State Circuits Conference (ISSCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1782590233","https://openalex.org/W1918935455","https://openalex.org/W1996901117","https://openalex.org/W2164598857","https://openalex.org/W2289252105","https://openalex.org/W2950967261","https://openalex.org/W2963893493","https://openalex.org/W3024621361","https://openalex.org/W6649495467"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W2528680939","https://openalex.org/W2481123202"],"abstract_inverted_index":{"Recently,":[0],"face":[1],"recognition":[2,95],"(FR)":[3],"based":[4],"on":[5],"always-on":[6,52],"CIS":[7],"has":[8],"been":[9],"investigated":[10],"for":[11,57,60,81],"the":[12,38],"next-generation":[13],"UI/UX":[14],"of":[15],"wearable":[16,74],"devices.":[17],"A":[18],"FR":[19,50,100],"system,":[20],"shown":[21],"in":[22,146],"Fig.":[23],"14.6.1,":[24],"was":[25,103,108],"developed":[26],"as":[27],"a":[28,32,77,82,98,119,152],"life-cycle":[29],"analyzer":[30],"or":[31,65],"personal":[33,71],"black":[34],"box,":[35],"constantly":[36],"recording":[37],"people":[39],"we":[40],"meet,":[41],"along":[42],"with":[43,51,151],"time":[44,150],"and":[45,69,130],"place":[46],"information.":[47],"In":[48],"addition,":[49],"capability":[53],"can":[54],"be":[55],"used":[56],"user":[58],"authentication":[59],"secure":[61],"access":[62],"to":[63,111,126,131],"his":[64],"her":[66],"smart":[67],"phone":[68],"other":[70],"systems.":[72],"Since":[73],"devices":[75],"have":[76],"limited":[78],"battery":[79],"capacity":[80],"small":[83],"form":[84],"factor,":[85],"extremely":[86],"low":[87,109],"power":[88],"consumption":[89],"is":[90,124],"required,":[91],"while":[92],"maintaining":[93],"high":[94,128],"accuracy.":[96],"Previously,":[97],"23mW":[99],"accelerator":[101],"[1]":[102],"proposed,":[104],"but":[105],"its":[106,112],"accuracy":[107,129],"due":[110],"hand-crafted":[113],"feature-based":[114],"algorithm.":[115],"Deep":[116],"learning":[117],"using":[118],"convolutional":[120],"neural":[121],"network":[122],"(CNN)":[123],"essential":[125],"achieve":[127],"enhance":[132],"device":[133],"intelligence.":[134],"However,":[135],"previous":[136],"CNN":[137],"processors":[138],"(CNNP)":[139],"[2-3]":[140],"consume":[141],"too":[142],"much":[143],"power,":[144],"resulting":[145],"<;10":[147],"hours":[148],"operation":[149],"190mAh":[153],"coin":[154],"battery.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":27},{"year":2017,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
