{"id":"https://openalex.org/W7155049886","doi":"https://doi.org/10.48550/arxiv.2604.16341","title":"Deep Learning for Virtual Reality User Identification: A Benchmark","display_name":"Deep Learning for Virtual Reality User Identification: A Benchmark","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7155049886","doi":"https://doi.org/10.48550/arxiv.2604.16341"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.16341","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.16341","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.16341","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134134267","display_name":"Davide Frizzo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Frizzo, Davide","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134110980","display_name":"Fabrizio Genilotti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Genilotti, Fabrizio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134206892","display_name":"David Petrovic","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Petrovic, David","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120388119","display_name":"Arianna Stropeni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stropeni, Arianna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5096294110","display_name":"Francesco Borsatti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Borsatti, Francesco","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134161932","display_name":"Davide Dalle Pezze","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pezze, Davide Dalle","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114319999","display_name":"Riccardo De Monte","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"De Monte, Riccardo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094255334","display_name":"Manuel Barusco","orcid":"https://orcid.org/0009-0000-0568-2432"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barusco, Manuel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5026617079","display_name":"Gian Antonio Susto","orcid":"https://orcid.org/0000-0001-5739-9639"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Susto, Gian Antonio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T11800","display_name":"User Authentication and Security Systems","score":0.5468000173568726,"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":0.5468000173568726,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.15950000286102295,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.10589999705553055,"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/benchmark","display_name":"Benchmark (surveying)","score":0.7677000164985657},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.6992999911308289},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6851999759674072},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5871999859809875},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5817000269889832},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.41260001063346863},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.36239999532699585},{"id":"https://openalex.org/keywords/user-experience-design","display_name":"User experience design","score":0.3379000127315521}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7677000164985657},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.743399977684021},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.6992999911308289},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6851999759674072},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5871999859809875},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5817000269889832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5727999806404114},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5063999891281128},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47839999198913574},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.41260001063346863},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.36239999532699585},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.33730000257492065},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.27880001068115234},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.25529998540878296}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.16341","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.16341","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.16341","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.16341","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Virtual":[0],"Reality":[1],"(VR)":[2],"applications":[3],"require":[4],"robust":[5],"user":[6,45,71,137],"identification":[7,38,72],"systems":[8,148],"to":[9,13,60],"ensure":[10],"secure":[11],"access":[12],"equipment":[14],"and":[15,25,114,132],"protect":[16],"worker":[17],"identities.":[18],"Motion":[19],"tracking":[20],"data":[21,83],"from":[22,84],"VR":[23,61,80,136],"headsets":[24],"controllers":[26],"has":[27],"emerged":[28],"as":[29],"a":[30,43],"powerful":[31],"behavioral":[32],"biometric,":[33],"with":[34],"recent":[35],"studies":[36],"demonstrating":[37],"accuracies":[39],"exceeding":[40],"94%":[41],"across":[42,74],"large":[44],"base.":[46],"However,":[47],"the":[48,75,88,115,126],"application":[49],"of":[50,130],"modern":[51],"deep":[52],"learning":[53],"architectures,":[54],"particularly":[55],"State":[56],"Space":[57],"Models":[58],"(SSM),":[59],"scenarios":[62],"remains":[63],"largely":[64],"unexplored.":[65],"In":[66],"this":[67],"work,":[68],"we":[69],"benchmark":[70,129],"performance":[73,141],"large-scale":[76],"Who":[77],"is":[78],"Alyx":[79],"dataset,":[81],"gathering":[82],"71":[85],"users":[86],"playing":[87],"popular":[89],"Half-Life:Alyx":[90],"game.":[91],"We":[92],"evaluate":[93],"both":[94],"established":[95],"architectures":[96,134],"(Long":[97],"Short-Term":[98],"Memory":[99],"(LSTM),":[100],"Gated":[101],"Recurrent":[102],"Unit":[103],"(GRU),":[104],"Convolutional":[105,110],"Neural":[106],"Network":[107,111],"(CNN),":[108],"Temporal":[109],"(TCN),":[112],"Transformer)":[113],"emerging":[116],"SSMs":[117],"on":[118],"time":[119],"series":[120],"motion":[121],"data.":[122],"Our":[123],"results":[124],"provide":[125],"first":[127],"comprehensive":[128],"state-of-the-art":[131],"novel":[133],"for":[135,143],"identification,":[138],"establishing":[139],"baseline":[140],"metrics":[142],"future":[144],"privacy":[145],"preserving":[146],"authentication":[147],"in":[149],"manufacturing":[150],"environments.":[151]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-22T00:00:00"}
