{"id":"https://openalex.org/W2895613288","doi":"https://doi.org/10.1145/3267242.3267256","title":"Intra-/inter-user adaptation framework for wearable gesture sensing device","display_name":"Intra-/inter-user adaptation framework for wearable gesture sensing device","publication_year":2018,"publication_date":"2018-10-04","ids":{"openalex":"https://openalex.org/W2895613288","doi":"https://doi.org/10.1145/3267242.3267256","mag":"2895613288"},"language":"en","primary_location":{"id":"doi:10.1145/3267242.3267256","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3267242.3267256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM International Symposium on Wearable Computers","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/A5053054133","display_name":"Kosuke Kikui","orcid":"https://orcid.org/0000-0002-8241-2361"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kosuke Kikui","raw_affiliation_strings":["Keio University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053612507","display_name":"Yuta Itoh","orcid":"https://orcid.org/0000-0002-5901-797X"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Itoh","raw_affiliation_strings":["Tokyo Institute of Tech./RIKEN AIP, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Tech./RIKEN AIP, Yokohama, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046358579","display_name":"Makoto Yamada","orcid":"https://orcid.org/0000-0001-7508-5094"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]},{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makoto Yamada","raw_affiliation_strings":["Kyoto University/RIKEN AIP, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto University/RIKEN AIP, Kyoto, Japan","institution_ids":["https://openalex.org/I4210126580","https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053371666","display_name":"Yuta Sugiura","orcid":"https://orcid.org/0000-0003-3735-4809"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Sugiura","raw_affiliation_strings":["Keio University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087706411","display_name":"Maki Sugimoto","orcid":"https://orcid.org/0000-0002-8383-9228"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Maki Sugimoto","raw_affiliation_strings":["Keio University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053054133"],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":1.0866,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78371175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9994999766349792,"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":0.9994999766349792,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8653905987739563},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7333990931510925},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6824333667755127},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6414716839790344},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6115659475326538},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5907785296440125},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.49795007705688477},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.45931509137153625},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.4529213309288025},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4503260850906372},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.44328150153160095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.395652174949646},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.214494526386261}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8653905987739563},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7333990931510925},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6824333667755127},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6414716839790344},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6115659475326538},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5907785296440125},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.49795007705688477},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.45931509137153625},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.4529213309288025},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4503260850906372},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.44328150153160095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.395652174949646},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.214494526386261},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3267242.3267256","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3267242.3267256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM International Symposium on Wearable Computers","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":11,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1982297923","https://openalex.org/W2051537198","https://openalex.org/W2056659992","https://openalex.org/W2084413241","https://openalex.org/W2147800946","https://openalex.org/W2155541015","https://openalex.org/W2158108973","https://openalex.org/W2288812598","https://openalex.org/W2752632286","https://openalex.org/W2765240282"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735","https://openalex.org/W3090300519"],"abstract_inverted_index":{"The":[0],"photo":[1],"reflective":[2],"sensor":[3],"(PRS),":[4],"a":[5,10,48,86,100],"tiny":[6],"distant-measurement":[7],"module,":[8],"is":[9,30,63],"popular":[11],"electronic":[12],"component":[13],"widely":[14],"used":[15],"in":[16,27],"wearable":[17,24],"user-interfaces.":[18],"An":[19],"unavoidable":[20],"issue":[21],"of":[22,33,95,134],"such":[23],"PRS":[25,123],"devices":[26],"practical":[28],"use":[29],"the":[31,57,70,74,78,114,130,135,146,151],"need":[32],"user-independent":[34],"training":[35,53,93],"to":[36,46,90,112,141],"have":[37],"high":[38],"gesture":[39],"recognition":[40,115],"accuracy.":[41],"Each":[42],"new":[43,52],"user":[44,72],"has":[45],"re-train":[47],"device":[49,75],"by":[50],"providing":[51],"data":[54],"(we":[55,76],"call":[56,77],"inter-user":[58,108,138],"setup).":[59,80],"Even":[60],"worse,":[61],"re-training":[62],"also":[64],"necessary":[65],"ideally":[66],"every":[67],"time":[68],"when":[69],"same":[71],"re-wears":[73],"intra-user":[79,110,136],"In":[81],"this":[82,92],"paper,":[83],"we":[84,98],"propose":[85],"domain":[87],"adaptation":[88],"framework":[89,127],"reduce":[91],"cost":[94],"users.":[96],"Specifically,":[97],"adapt":[99],"pre-trained":[101],"convolutional":[102],"neural":[103],"network":[104],"(CNN)":[105],"for":[106],"both":[107],"and":[109,137,143,154],"setups":[111,139,149],"maintain":[113],"accuracy":[116,133,152],"high.":[117],"We":[118],"demonstrate,":[119],"with":[120,150],"an":[121],"actual":[122],"device,":[124],"that":[125],"our":[126],"significantly":[128],"improves":[129],"average":[131],"classification":[132],"up":[140],"87.43%":[142],"80.06%":[144],"against":[145],"baseline":[147],"(non-adapted)":[148],"68.96%":[153],"63.26%":[155],"respectively.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}