{"id":"https://openalex.org/W4402957958","doi":"https://doi.org/10.1145/3691573.3691592","title":"Machine Learning Applied to Locomotion in Virtual Reality","display_name":"Machine Learning Applied to Locomotion in Virtual Reality","publication_year":2024,"publication_date":"2024-09-29","ids":{"openalex":"https://openalex.org/W4402957958","doi":"https://doi.org/10.1145/3691573.3691592"},"language":"en","primary_location":{"id":"doi:10.1145/3691573.3691592","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3691573.3691592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symposium on Virtual and Augmented Reality","raw_type":"proceedings-article"},"type":"conference-paper","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/A5107555480","display_name":"Fernando Kenji Sakabe","orcid":null},"institutions":[{"id":"https://openalex.org/I52977244","display_name":"Insper","ror":"https://ror.org/02nmavx05","country_code":"BR","type":"education","lineage":["https://openalex.org/I52977244"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fernando Kenji Sakabe","raw_affiliation_strings":["Insper, Brazil"],"raw_orcid":"https://orcid.org/0009-0004-0437-4605","affiliations":[{"raw_affiliation_string":"Insper, Brazil","institution_ids":["https://openalex.org/I52977244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009630456","display_name":"F\u00e1bio J. Ayres","orcid":"https://orcid.org/0009-0000-6821-4687"},"institutions":[{"id":"https://openalex.org/I52977244","display_name":"Insper","ror":"https://ror.org/02nmavx05","country_code":"BR","type":"education","lineage":["https://openalex.org/I52977244"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fabio Jos\u00e9 Ayres","raw_affiliation_strings":["Insper, Brazil"],"raw_orcid":"https://orcid.org/0009-0000-6821-4687","affiliations":[{"raw_affiliation_string":"Insper, Brazil","institution_ids":["https://openalex.org/I52977244"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053721697","display_name":"Luciano Soares","orcid":"https://orcid.org/0000-0003-3187-4168"},"institutions":[{"id":"https://openalex.org/I52977244","display_name":"Insper","ror":"https://ror.org/02nmavx05","country_code":"BR","type":"education","lineage":["https://openalex.org/I52977244"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luciano Pereira Soares","raw_affiliation_strings":["Insper, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-3187-4168","affiliations":[{"raw_affiliation_string":"Insper, Brazil","institution_ids":["https://openalex.org/I52977244"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52977244"],"apc_list":null,"apc_paid":null,"fwci":0.3635,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52393137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"134","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9925000071525574,"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/computer-science","display_name":"Computer science","score":0.6865504384040833},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.6842019557952881},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5503449440002441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3753989636898041}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6865504384040833},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.6842019557952881},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5503449440002441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3753989636898041}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3691573.3691592","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3691573.3691592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symposium on Virtual and Augmented Reality","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1977277483","https://openalex.org/W2001665711","https://openalex.org/W2014442018","https://openalex.org/W2270470215","https://openalex.org/W2488475142","https://openalex.org/W2551306052","https://openalex.org/W2604758614","https://openalex.org/W2619402243","https://openalex.org/W2756587262","https://openalex.org/W2796517718","https://openalex.org/W2900528285","https://openalex.org/W3034344191","https://openalex.org/W3096245447","https://openalex.org/W3119107272","https://openalex.org/W3162605652","https://openalex.org/W3165590624","https://openalex.org/W4313190236"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2059650074","https://openalex.org/W4285504728"],"abstract_inverted_index":{"The":[0,46,93],"objective":[1],"of":[2,41,67,84],"this":[3],"research":[4],"project":[5],"is":[6],"to":[7,104],"recognize":[8],"a":[9,14,27,39,52,59,97],"user\u2019s":[10],"walking":[11,28],"pattern":[12],"on":[13,51,89,113],"treadmill-like":[15],"platform":[16],"for":[17,125],"navigation":[18,128],"in":[19,58,73,129],"Virtual":[20],"Reality":[21],"(VR)":[22],"environments.":[23],"To":[24],"achieve":[25],"this,":[26],"recognition":[29],"software":[30],"solution":[31],"was":[32,49,79],"developed":[33],"using":[34,81],"Convolutional":[35],"Neural":[36],"Networks":[37],"(CNNs),":[38],"type":[40],"Machine":[42],"Learning":[43],"(ML)":[44],"architecture.":[45],"ML":[47],"model":[48],"trained":[50],"dataset":[53],"collected":[54],"from":[55],"users\u2019":[56,91],"movements":[57],"virtual":[60],"simulation,":[61],"tracking":[62],"the":[63,90,105,109],"positions":[64],"and":[65,76],"rotations":[66],"their":[68],"feet":[69],"as":[70,120],"they":[71],"walked":[72],"various":[74],"directions":[75],"orientations.":[77],"Tracking":[78],"accomplished":[80],"6":[82],"degrees":[83],"freedom":[85],"(6DoF)":[86],"trackers":[87],"placed":[88],"feet.":[92],"neural":[94],"network":[95],"achieved":[96],"94%":[98],"accuracy":[99],"rate":[100],"during":[101],"testing.":[102],"Due":[103],"network\u2019s":[106],"lightweight":[107],"configuration,":[108],"response":[110],"time":[111],"is,":[112],"average,":[114],"0.1":[115],"seconds,":[116],"demonstrating":[117],"its":[118],"potential":[119],"an":[121],"efficient":[122],"natural":[123],"controller":[124],"real-time":[126],"user":[127],"multiple":[130],"directions.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
