{"id":"https://openalex.org/W4403629408","doi":"https://doi.org/10.1145/3701701.3701712","title":"A Neuromorphic Radar Sensor for Low-Power IoT Systems","display_name":"A Neuromorphic Radar Sensor for Low-Power IoT Systems","publication_year":2024,"publication_date":"2024-10-22","ids":{"openalex":"https://openalex.org/W4403629408","doi":"https://doi.org/10.1145/3701701.3701712"},"language":"en","primary_location":{"id":"doi:10.1145/3701701.3701712","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3701701.3701712","pdf_url":null,"source":{"id":"https://openalex.org/S4210227886","display_name":"GetMobile Mobile Computing and Communications","issn_l":"2375-0529","issn":["2375-0529","2375-0537"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GetMobile: Mobile Computing and Communications","raw_type":"journal-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/A5092248382","display_name":"Kai Zheng","orcid":"https://orcid.org/0009-0008-7007-9400"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai Zheng","raw_affiliation_strings":["University of California, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076453728","display_name":"Kun Qian","orcid":"https://orcid.org/0000-0003-4971-8075"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kun Qian","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009038866","display_name":"Timothy Woodford","orcid":"https://orcid.org/0000-0002-0496-3651"},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Timothy Woodford","raw_affiliation_strings":["MIT Lincoln Lab, Lexington, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Lincoln Lab, Lexington, MA, USA","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100390687","display_name":"Xinyu Zhang","orcid":"https://orcid.org/0000-0001-9688-8056"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyu Zhang","raw_affiliation_strings":["University of California, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1519316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"3","first_page":"36","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9954000115394592,"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":0.991100013256073,"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":0.9551944732666016},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6028817892074585},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5513097643852234},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5226797461509705},{"id":"https://openalex.org/keywords/radar-systems","display_name":"Radar systems","score":0.4965687394142151},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.45296502113342285},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.30134499073028564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24990156292915344},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1967681646347046},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12387940287590027},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11869886517524719}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9551944732666016},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6028817892074585},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5513097643852234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5226797461509705},{"id":"https://openalex.org/C2984296375","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar systems","level":3,"score":0.4965687394142151},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.45296502113342285},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.30134499073028564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24990156292915344},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1967681646347046},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12387940287590027},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11869886517524719}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3701701.3701712","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3701701.3701712","pdf_url":null,"source":{"id":"https://openalex.org/S4210227886","display_name":"GetMobile Mobile Computing and Communications","issn_l":"2375-0529","issn":["2375-0529","2375-0537"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GetMobile: Mobile Computing and Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1996376666","https://openalex.org/W2006370340","https://openalex.org/W2016574277","https://openalex.org/W2783525259","https://openalex.org/W2963150511","https://openalex.org/W4205577759","https://openalex.org/W4213419565","https://openalex.org/W4231081240","https://openalex.org/W4233301139","https://openalex.org/W4308948523","https://openalex.org/W4395681046"],"related_works":["https://openalex.org/W760655932","https://openalex.org/W96662699","https://openalex.org/W156107400","https://openalex.org/W2353141829","https://openalex.org/W2083225881","https://openalex.org/W2362183774","https://openalex.org/W2370482908","https://openalex.org/W2910716297","https://openalex.org/W2363629559","https://openalex.org/W2481048288"],"abstract_inverted_index":{"As":[0],"radar":[1,37,84],"sensors":[2],"become":[3],"an":[4],"integral":[5],"component":[6],"of":[7,9,15,40,62],"Internet":[8],"Things":[10],"(IoT)":[11],"systems,":[12,85],"the":[13,57],"challenge":[14],"high":[16],"power":[17,79],"consumption":[18,80],"poses":[19],"a":[20,31,36,88],"significant":[21],"barrier,":[22],"especially":[23],"for":[24],"battery-operated":[25],"devices.":[26],"This":[27],"article":[28],"introduces":[29],"NeuroRadar,":[30,63],"groundbreaking":[32],"solution":[33],"that":[34],"leverages":[35],"front-end":[38],"capable":[39],"generating":[41],"spike":[42],"sequences,":[43],"which":[44],"can":[45],"be":[46],"efficiently":[47],"processed":[48],"by":[49],"energy-saving":[50],"Spiking":[51],"Neural":[52],"Networks":[53],"(SNNs).":[54],"We":[55],"explore":[56],"innovative":[58],"design":[59],"and":[60,72],"implementation":[61],"showcasing":[64],"its":[65],"effectiveness":[66],"in":[67,91],"applications":[68],"like":[69],"gesture":[70],"recognition":[71],"human":[73],"tracking.":[74],"By":[75],"achieving":[76],"dramatically":[77],"lower":[78],"compared":[81],"to":[82],"traditional":[83],"NeuroRadar":[86],"represents":[87],"new":[89],"paradigm":[90],"energy-efficient":[92],"IoT":[93],"sensing.":[94]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}