{"id":"https://openalex.org/W4386353014","doi":"https://doi.org/10.1109/icccn58024.2023.10230151","title":"mmLock: User Leaving Detection Against Data Theft via High-Quality mmWave Radar Imaging","display_name":"mmLock: User Leaving Detection Against Data Theft via High-Quality mmWave Radar Imaging","publication_year":2023,"publication_date":"2023-07-01","ids":{"openalex":"https://openalex.org/W4386353014","doi":"https://doi.org/10.1109/icccn58024.2023.10230151"},"language":"en","primary_location":{"id":"doi:10.1109/icccn58024.2023.10230151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn58024.2023.10230151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 32nd International Conference on Computer Communications and Networks (ICCCN)","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/A5063714346","display_name":"Jiawei Xu","orcid":"https://orcid.org/0000-0001-7555-5631"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jiawei Xu","raw_affiliation_strings":["Indiana University-Purdue University Indianapolis"],"affiliations":[{"raw_affiliation_string":"Indiana University-Purdue University Indianapolis","institution_ids":["https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108304756","display_name":"Ziqian Bi","orcid":null},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziqian Bi","raw_affiliation_strings":["Indiana University-Purdue University Indianapolis"],"affiliations":[{"raw_affiliation_string":"Indiana University-Purdue University Indianapolis","institution_ids":["https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102954894","display_name":"Amit Singha","orcid":"https://orcid.org/0009-0009-8262-5998"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Singha","raw_affiliation_strings":["Indiana University-Purdue University Indianapolis"],"affiliations":[{"raw_affiliation_string":"Indiana University-Purdue University Indianapolis","institution_ids":["https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455316","display_name":"Tao Li","orcid":"https://orcid.org/0000-0002-5333-0586"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tao Li","raw_affiliation_strings":["Indiana University-Purdue University Indianapolis"],"affiliations":[{"raw_affiliation_string":"Indiana University-Purdue University Indianapolis","institution_ids":["https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377726","display_name":"Yimin Chen","orcid":"https://orcid.org/0000-0002-7452-2165"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yimin Chen","raw_affiliation_strings":["University of Massachusetts Lowell"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Lowell","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100615703","display_name":"Yanchao Zhang","orcid":"https://orcid.org/0000-0002-0137-0922"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanchao Zhang","raw_affiliation_strings":["Arizona State University"],"affiliations":[{"raw_affiliation_string":"Arizona State University","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5063714346"],"corresponding_institution_ids":["https://openalex.org/I55769427"],"apc_list":null,"apc_paid":null,"fwci":2.2908,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.90478951,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11800","display_name":"User Authentication and Security Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9998000264167786,"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/T10986","display_name":"RFID technology advancements","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.8344955444335938},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.5311108231544495},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5066638588905334},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.48461851477622986},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4746069312095642},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4362000823020935},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.4157390296459198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30304208397865295},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16402873396873474},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1299322545528412}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8344955444335938},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.5311108231544495},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5066638588905334},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.48461851477622986},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4746069312095642},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4362000823020935},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.4157390296459198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30304208397865295},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16402873396873474},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1299322545528412},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccn58024.2023.10230151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn58024.2023.10230151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 32nd International Conference on Computer Communications and Networks (ICCCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5400000214576721,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1964814818","https://openalex.org/W2030171418","https://openalex.org/W2031972300","https://openalex.org/W2079024329","https://openalex.org/W2151854612","https://openalex.org/W2154346544","https://openalex.org/W2164675859","https://openalex.org/W2507200569","https://openalex.org/W2533203140","https://openalex.org/W2558891025","https://openalex.org/W2792293735","https://openalex.org/W2820000974","https://openalex.org/W2874356750","https://openalex.org/W2902024067","https://openalex.org/W2950821050","https://openalex.org/W2952586546","https://openalex.org/W2963457986","https://openalex.org/W2995304049","https://openalex.org/W3036442921","https://openalex.org/W3081693698","https://openalex.org/W3086312460","https://openalex.org/W3087859191","https://openalex.org/W3116493117","https://openalex.org/W3121283712","https://openalex.org/W3146968685","https://openalex.org/W3175987492","https://openalex.org/W3199516229","https://openalex.org/W6637131181","https://openalex.org/W6763422710","https://openalex.org/W6782656702"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4308259661","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W4328132048","https://openalex.org/W1969901537","https://openalex.org/W2376202349"],"abstract_inverted_index":{"The":[0],"use":[1],"of":[2,178],"smart":[3],"devices":[4,17],"such":[5],"as":[6],"smartphones,":[7],"tablets,":[8],"and":[9,25,35,45,72,94,115,156,170,185],"laptops":[10],"skyrocketed":[11],"in":[12,77,100,167,190],"the":[13,60,111,117,121,150,174],"last":[14],"decade.":[15],"These":[16],"enable":[18],"ubiquitous":[19],"applications":[20],"for":[21],"entertainment,":[22],"communication,":[23],"productivity,":[24],"healthcare":[26],"but":[27],"also":[28],"introduce":[29],"big":[30],"concern":[31],"about":[32],"user":[33,51,63,97,134],"privacy":[34],"data":[36,125,184],"security.":[37],"In":[38,83],"addition":[39],"to":[40,58,109],"various":[41],"authentication":[42],"techniques,":[43],"automatic":[44],"immediate":[46],"device":[47],"locking":[48],"based":[49],"on":[50,69,132],"leaving":[52,64,98,118],"detection":[53,65,99],"is":[54,138],"an":[55],"indispensable":[56],"way":[57],"secure":[59],"devices.":[61],"Current":[62],"techniques":[66],"mainly":[67],"rely":[68],"acoustic":[70],"ranging":[71],"do":[73],"not":[74],"work":[75],"well":[76],"environments":[78,169],"with":[79,126,159],"multiple":[80,168],"moving":[81],"objects.":[82],"this":[84],"paper,":[85],"we":[86],"present":[87],"mmLock,":[88],"a":[89,105,127,160],"system":[90],"that":[91],"enables":[92],"faster":[93],"more":[95,139],"accurate":[96],"dynamic":[101],"environments.":[102],"mmLock":[103,137,158],"uses":[104],"mmWave":[106,165,182],"FMCW":[107],"radar":[108,166],"capture":[110],"user's":[112],"3D":[113,122],"mesh":[114,124],"detects":[116],"gesture":[119,143],"from":[120],"human":[123],"hybrid":[128],"PointNet-LSTM":[129,175],"model.":[130],"Based":[131],"explainable":[133],"point":[135],"clouds,":[136],"robust":[140],"than":[141],"existing":[142],"recognition":[144],"systems":[145],"which":[146],"can":[147],"only":[148],"identify":[149],"raw":[151],"signal":[152,183],"patterns.":[153],"We":[154,172],"implement":[155],"evaluate":[157],"commercial":[161],"off-the-shelf":[162],"(COTS)":[163],"TI":[164],"scenarios.":[171,192],"train":[173],"model":[176],"out":[177],"over":[179],"1":[180],"TB":[181],"achieve":[186],"100%":[187],"true-positive":[188],"rate":[189],"most":[191]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}