{"id":"https://openalex.org/W2923152523","doi":"https://doi.org/10.1109/icaiic.2019.8669023","title":"Hand Pose Detection in HMD Environments by Sensor Fusion using Multi-layer Perceptron","display_name":"Hand Pose Detection in HMD Environments by Sensor Fusion using Multi-layer Perceptron","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2923152523","doi":"https://doi.org/10.1109/icaiic.2019.8669023","mag":"2923152523"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic.2019.8669023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic.2019.8669023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5049320114","display_name":"Luc Cong Vu","orcid":null},"institutions":[{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Luc Cong Vu","raw_affiliation_strings":["Dept. of HCI & Robotics Engineering, Univ. of Science and Technology (UST), Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of HCI & Robotics Engineering, Univ. of Science and Technology (UST), Seoul, South Korea","institution_ids":["https://openalex.org/I88761825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102148147","display_name":"Bum-Jae You","orcid":null},"institutions":[{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bum-Jae You","raw_affiliation_strings":["Dept. of HCI & Robotics Engineering, Univ. of Science and Technology (UST), Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of HCI & Robotics Engineering, Univ. of Science and Technology (UST), Seoul, South Korea","institution_ids":["https://openalex.org/I88761825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I88761825"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"218","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9944000244140625,"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/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.8382629156112671},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8250992298126221},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8207120895385742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6711877584457397},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5610774159431458},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5509733557701111},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5129677653312683},{"id":"https://openalex.org/keywords/coordinate-system","display_name":"Coordinate system","score":0.5111144185066223},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.43094655871391296},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18586188554763794}],"concepts":[{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.8382629156112671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8250992298126221},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8207120895385742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6711877584457397},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5610774159431458},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5509733557701111},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5129677653312683},{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.5111144185066223},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.43094655871391296},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18586188554763794},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic.2019.8669023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic.2019.8669023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2073839564","https://openalex.org/W2106488064","https://openalex.org/W2148560424","https://openalex.org/W2613281627","https://openalex.org/W2621436911","https://openalex.org/W2738073041","https://openalex.org/W2753990590","https://openalex.org/W2783856700","https://openalex.org/W2885944345","https://openalex.org/W2897389391","https://openalex.org/W2949258361","https://openalex.org/W2975461012","https://openalex.org/W6676182057","https://openalex.org/W6763073272"],"related_works":["https://openalex.org/W2091018038","https://openalex.org/W2225378543","https://openalex.org/W4287122200","https://openalex.org/W9839718","https://openalex.org/W3110613631","https://openalex.org/W2040913503","https://openalex.org/W3166845860","https://openalex.org/W2742744817","https://openalex.org/W3202472720","https://openalex.org/W2785359964"],"abstract_inverted_index":{"The":[0,100],"paper":[1],"proposes":[2],"a":[3,20,33],"sensor":[4,47,57],"fusion":[5],"method":[6],"to":[7,68,150],"detect":[8],"the":[9,37,51,54,61,70,78,115,127,130,154],"pose":[10,72,79,101,155],"of":[11,32,39,108,132,156],"user's":[12,157],"hand":[13,40,110,158],"in":[14,73,80,126,159],"head-mount":[15],"display":[16],"environments":[17],"by":[18,87,112],"using":[19],"Leap":[21],"Motion":[22],"Camera":[23],"(LMC)":[24],"with":[25,60,106,123],"simple":[26],"circular":[27],"artificial":[28],"markers":[29],"on":[30,36,50],"surfaces":[31],"box":[34,52],"wearing":[35],"back":[38],"and":[41,53,139,152],"two":[42],"IMU":[43,46,56,74],"sensors.":[44],"One":[45],"is":[48,58,66,120,142,147],"located":[49],"other":[55],"fixed":[59],"camera.":[62],"Multilayer":[63],"Perceptron":[64],"(MLP)":[65],"adopted":[67],"transform":[69],"hand's":[71],"coordinate":[75,82],"system":[76,83],"into":[77],"global":[81],"attached":[84],"at":[85],"LMC":[86,113],"minimizing":[88],"Mean":[89],"Square":[90],"Error":[91],"(MSE)":[92],"for":[93,135],"Virtual":[94],"Reality":[95,97],"(VR)/Mixed":[96],"(MR)":[98],"applications.":[99],"detection":[102],"results":[103],"are":[104],"compared":[105],"poses":[107],"bare":[109],"captured":[111],"while":[114],"estimated":[116],"data":[117,125],"after":[118],"transformation":[119],"fitted":[121],"well":[122],"reference":[124],"sense":[128],"that":[129],"average":[131],"mean":[133],"difference":[134],"each":[136],"roll,":[137],"pitch":[138],"yaw":[140],"angle":[141],"around":[143,160],"3.54":[144],"degree.":[145],"It":[146],"applied":[148],"successfully":[149],"track":[151],"estimate":[153],"70Hz.":[161]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
