{"id":"https://openalex.org/W2979411809","doi":"https://doi.org/10.1145/3300061.3345437","title":"XModal-ID","display_name":"XModal-ID","publication_year":2019,"publication_date":"2019-10-11","ids":{"openalex":"https://openalex.org/W2979411809","doi":"https://doi.org/10.1145/3300061.3345437","mag":"2979411809"},"language":"en","primary_location":{"id":"doi:10.1145/3300061.3345437","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3300061.3345437","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3300061.3345437","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 25th Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3300061.3345437","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014396906","display_name":"Belal Korany","orcid":"https://orcid.org/0000-0001-8694-0906"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Belal Korany","raw_affiliation_strings":["University of California Santa Barbara, Santa Barbara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014023770","display_name":"Chitra R. Karanam","orcid":"https://orcid.org/0000-0003-4328-7462"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chitra R. Karanam","raw_affiliation_strings":["University of California Santa Barbara, Santa Barbara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101765477","display_name":"Hong Cai","orcid":"https://orcid.org/0000-0002-7388-747X"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Cai","raw_affiliation_strings":["University of California Santa Barbara, Santa Barbara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015127940","display_name":"Yasamin Mostofi","orcid":"https://orcid.org/0000-0003-2670-2214"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yasamin Mostofi","raw_affiliation_strings":["University of California Santa Barbara, Santa Barbara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Santa Barbara, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":16.309,"has_fulltext":true,"cited_by_count":96,"citation_normalized_percentile":{"value":0.9973065,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7863037586212158},{"id":"https://openalex.org/keywords/transceiver","display_name":"Transceiver","score":0.6022781729698181},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5881909728050232},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5138257145881653},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5101400017738342},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.4955087900161743},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.48449966311454773},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46808892488479614},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4374179244041443},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4345899522304535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4279455244541168},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.4260708689689636},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3980938196182251},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1923637092113495},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07098338007926941}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7863037586212158},{"id":"https://openalex.org/C7720470","wikidata":"https://www.wikidata.org/wiki/Q954187","display_name":"Transceiver","level":3,"score":0.6022781729698181},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5881909728050232},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5138257145881653},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5101400017738342},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.4955087900161743},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.48449966311454773},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46808892488479614},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4374179244041443},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4345899522304535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4279455244541168},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.4260708689689636},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3980938196182251},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1923637092113495},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07098338007926941},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3300061.3345437","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3300061.3345437","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3300061.3345437","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 25th Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3300061.3345437","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3300061.3345437","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3300061.3345437","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 25th Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5220695132","display_name":"NeTS: Small: Fundamentals of Assessing Occupancy Dynamics with Ubiquitous Wireless Signals","funder_award_id":"1816931","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8547882046","display_name":"Robotic See-Through Imaging with Everyday RF Signals","funder_award_id":"1611254","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2979411809.pdf","grobid_xml":"https://content.openalex.org/works/W2979411809.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W183795090","https://openalex.org/W1520664314","https://openalex.org/W1579406079","https://openalex.org/W1766594731","https://openalex.org/W1982940576","https://openalex.org/W1988394703","https://openalex.org/W2009070339","https://openalex.org/W2013901835","https://openalex.org/W2016549506","https://openalex.org/W2033819227","https://openalex.org/W2064572178","https://openalex.org/W2067171820","https://openalex.org/W2089695767","https://openalex.org/W2119472975","https://openalex.org/W2123781361","https://openalex.org/W2126680226","https://openalex.org/W2129887056","https://openalex.org/W2135541996","https://openalex.org/W2154663802","https://openalex.org/W2162129379","https://openalex.org/W2345136132","https://openalex.org/W2507164613","https://openalex.org/W2510977315","https://openalex.org/W2517331439","https://openalex.org/W2522247037","https://openalex.org/W2734730826","https://openalex.org/W2783524404","https://openalex.org/W2788518751","https://openalex.org/W2789834341","https://openalex.org/W2798205579","https://openalex.org/W2799081448","https://openalex.org/W2805501431","https://openalex.org/W2806070179","https://openalex.org/W2812001514","https://openalex.org/W2891278391","https://openalex.org/W2899771611","https://openalex.org/W2963150697","https://openalex.org/W2963995996","https://openalex.org/W4236965008","https://openalex.org/W4300802661"],"related_works":["https://openalex.org/W4249165909","https://openalex.org/W2783437851","https://openalex.org/W1672137312","https://openalex.org/W1650483958","https://openalex.org/W2320869333","https://openalex.org/W2744385696","https://openalex.org/W2040472248","https://openalex.org/W2184749983","https://openalex.org/W1689453141","https://openalex.org/W2393483060"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,218],"propose":[4],"XModal-ID,":[5],"a":[6,29,33,64,129,137,183,220,236,252,258],"novel":[7],"WiFi-video":[8,224],"cross-modal":[9],"gait-based":[10],"person":[11,22,35,47,82,123,165,173,247],"identification":[12],"system.":[13],"Given":[14],"the":[15,45,56,81,94,109,114,122,125,149,154,164,167,171,175,214,245],"WiFi":[16,68,115,132,151,168,195,239,259],"signal":[17,116,152],"measured":[18],"when":[19],"an":[20,25,230],"unknown":[21,26],"walks":[23],"in":[24,36,48,124,166,174,233,251,289,292],"area":[27,96,169],"and":[28,153,158,193,240,270,276],"video":[30,78,110,126,191,241,264],"footage":[31,111],"of":[32,63,66,80,93,131,208,222,238,273],"walking":[34,205,288],"another":[37],"area,":[38],"XModal-ID":[39,53,107,180,227,256,282],"can":[40,102,283],"determine":[41,162],"whether":[42,235],"it":[43,87,101,266],"is":[44,170],"same":[46,172,246],"both":[49,148],"cases":[50],"or":[51,77,97,248],"not.":[52,249],"only":[54],"uses":[55,136],"Channel":[57],"State":[58],"Information":[59],"(CSI)":[60],"magnitude":[61],"measurements":[62],"pair":[65,130,237],"off-the-shelf":[67],"transceivers.":[69,133],"It":[70,134],"does":[71,88],"not":[72,89,211],"need":[73,90],"any":[74,91],"prior":[75],"wireless":[76],"measurement":[79],"to":[83,112,141,161,244,261],"be":[84,119],"identified.":[85],"Similarly,":[86],"knowledge":[92],"operation":[95],"person's":[98],"track.":[99],"Finally,":[100],"identify":[103,285],"people":[104,287],"through":[105],"walls.":[106],"utilizes":[108],"simulate":[113],"that":[117,281],"would":[118],"generated":[120],"if":[121,163],"walked":[127],"near":[128],"then":[135,228],"new":[138,286,290],"processing":[139],"approach":[140],"robustly":[142,284],"extract":[143],"key":[144],"gait":[145],"features":[146],"from":[147],"real":[150],"video-based":[155],"simulated":[156],"one,":[157],"compares":[159,257],"them":[160],"video.":[176],"We":[177],"extensively":[178],"evaluate":[179],"by":[181],"building":[182],"large":[184],"test":[185,225],"set":[186],"with":[187],"$8$":[188,262],"subjects,":[189],"$2$":[190],"areas,":[192,196],"$5$":[194],"including":[197],"3":[198],"through-wall":[199],"areas":[200],"as":[201,203],"well":[202],"complex":[204],"paths,":[206],"all":[207],"which":[209],"are":[210],"seen":[212],"during":[213],"training":[215],"phase.":[216],"Overall,":[217],"have":[219],"total":[221],"2,256":[223],"pairs.":[226],"achieves":[229],"$85%$":[231],"accuracy":[232],"predicting":[234],"samples":[242],"belong":[243],"Furthermore,":[250],"ranking":[253],"scenario":[254],"where":[255],"sample":[260],"candidate":[263],"samples,":[265],"obtains":[267],"top-1,":[268],"top-2,":[269],"top-3":[271],"accuracies":[272],"$75%$,":[274],"$90%$,":[275],"$97%$.":[277],"These":[278],"results":[279],"show":[280],"environments,":[291],"various":[293],"practical":[294],"scenarios.":[295]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":1}],"updated_date":"2026-09-02T07:38:04.252551","created_date":"2019-10-18T00:00:00"}
