{"id":"https://openalex.org/W2594344251","doi":"https://doi.org/10.1109/isscc.2017.7870411","title":"21.6 A 12nW always-on acoustic sensing and object recognition microsystem using frequency-domain feature extraction and SVM classification","display_name":"21.6 A 12nW always-on acoustic sensing and object recognition microsystem using frequency-domain feature extraction and SVM classification","publication_year":2017,"publication_date":"2017-02-01","ids":{"openalex":"https://openalex.org/W2594344251","doi":"https://doi.org/10.1109/isscc.2017.7870411","mag":"2594344251"},"language":"en","primary_location":{"id":"doi:10.1109/isscc.2017.7870411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc.2017.7870411","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/A5031381464","display_name":"Seokhyeon Jeong","orcid":"https://orcid.org/0000-0003-2613-1810"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Seokhyeon Jeong","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027592563","display_name":"Yu Chen","orcid":"https://orcid.org/0000-0003-0782-0450"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]},{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Chen","raw_affiliation_strings":["College Station, Texas A&M University, TX","University of Michigan, Ann Arbor, MI"],"affiliations":[{"raw_affiliation_string":"College Station, Texas A&M University, TX","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011801401","display_name":"Taekwang Jang","orcid":"https://orcid.org/0000-0002-4651-0677"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taekwang Jang","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110192759","display_name":"J. M. Tsai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Julius Tsai","raw_affiliation_strings":["Invensense, San Jose, CA"],"affiliations":[{"raw_affiliation_string":"Invensense, San Jose, CA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026311377","display_name":"David Blaauw","orcid":"https://orcid.org/0000-0001-6744-7075"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Blaauw","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014196508","display_name":"Hun-Seok Kim","orcid":"https://orcid.org/0000-0002-6658-5502"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hun-Seok Kim","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000767141","display_name":"Dennis Sylvester","orcid":"https://orcid.org/0000-0003-2598-0458"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dennis Sylvester","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5031381464"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":3.059,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.91433718,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10369","display_name":"Advanced MEMS and NEMS Technologies","score":0.9970999956130981,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.996399998664856,"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/feature-extraction","display_name":"Feature extraction","score":0.7919741868972778},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7666478157043457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6737608313560486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6662671566009521},{"id":"https://openalex.org/keywords/microsystem","display_name":"Microsystem","score":0.6252707242965698},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5868375897407532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5848353505134583},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4618583619594574},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44582170248031616},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42025521397590637},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4133543372154236},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2903023362159729},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09923091530799866},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08499470353126526}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7919741868972778},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7666478157043457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737608313560486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6662671566009521},{"id":"https://openalex.org/C151054161","wikidata":"https://www.wikidata.org/wiki/Q379385","display_name":"Microsystem","level":2,"score":0.6252707242965698},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5868375897407532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5848353505134583},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4618583619594574},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44582170248031616},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42025521397590637},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4133543372154236},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2903023362159729},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09923091530799866},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08499470353126526},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isscc.2017.7870411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isscc.2017.7870411","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/9","score":0.47999998927116394,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2027087041","https://openalex.org/W2033262157","https://openalex.org/W2115452265","https://openalex.org/W2116439629","https://openalex.org/W2211705316","https://openalex.org/W3158481788"],"related_works":["https://openalex.org/W1988460209","https://openalex.org/W1495423923","https://openalex.org/W2289396372","https://openalex.org/W2884343688","https://openalex.org/W2005078723","https://openalex.org/W2377074248","https://openalex.org/W2360146884","https://openalex.org/W2186351580","https://openalex.org/W2741364718","https://openalex.org/W4248404027"],"abstract_inverted_index":{"IoT":[0,76],"devices":[1,77],"are":[2,157],"becoming":[3],"increasingly":[4],"intelligent":[5,35],"and":[6,53,167],"context-aware.":[7],"Sound":[8],"is":[9,16,70,119],"an":[10],"attractive":[11],"sensory":[12],"modality":[13],"because":[14],"it":[15],"information-rich":[17],"but":[18],"not":[19],"as":[20,23,26],"computationally":[21],"demanding":[22],"alternatives":[24],"such":[25],"vision.":[27],"New":[28],"applications":[29],"of":[30,66,103,124],"ultra-low":[31],"power":[32,71,113],"(ULP),":[33],"\u2018always-on\u2019":[34],"acoustic":[36,51,130],"sensing":[37,69,131,161],"includes":[38,152],"agricultural":[39],"monitoring":[40,55,149],"to":[41,49,56],"detect":[42],"pests":[43],"or":[44,99],"precipitation,":[45],"infrastructure":[46],"health":[47],"tracking":[48],"recognize":[50],"symptoms,":[52],"security/safety":[54],"identify":[57],"dangerous":[58],"conditions.":[59],"A":[60],"major":[61],"impediment":[62],"for":[63,74],"the":[64],"adoption":[65],"always-on,":[67],"context-aware":[68],"consumption,":[72],"particularly":[73],"ultra-small":[75],"requiring":[78],"long-term":[79],"operation":[80,86],"without":[81],"battery":[82,110],"replacement.":[83],"To":[84],"sustain":[85],"with":[87,163],"a":[88,101,107,136],"1mm":[89],"<sup":[90],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[91],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[92],"solar":[93],"cell":[94,109],"in":[95],"ambient":[96],"light":[97],"(100lux)":[98],"achieve":[100],"lifetime":[102],"10":[104],"years":[105],"using":[106],"button":[108],"(2mAh),":[111],"<20nW":[112],"consumption":[114],"must":[115],"be":[116],"achieved,":[117],"which":[118],"more":[120],"than":[121,127],"2":[122],"orders":[123],"magnitude":[125],"lower":[126],"current":[128],"state-of-the-art":[129],"systems":[132,162],"[1,2].":[133],"More":[134],"broadly":[135],"previous":[137],"ULP":[138],"signal":[139],"acquisition":[140],"IC":[141],"[3]":[142],"consumes":[143],"just":[144],"3nW":[145],"while":[146],"64nW":[147],"ECG":[148],"system":[150],"[4]":[151],"back-end":[153],"classification,":[154],"however":[155],"there":[156],"no":[158],"sub-20nW":[159],"complete":[160],"both":[164],"analog":[165],"frontend":[166],"digital":[168],"backend.":[169]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
