{"id":"https://openalex.org/W2605326771","doi":"https://doi.org/10.1109/vr.2017.7892341","title":"Classification method of tactile feeling using stacked autoencoder based on haptic primary colors","display_name":"Classification method of tactile feeling using stacked autoencoder based on haptic primary colors","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2605326771","doi":"https://doi.org/10.1109/vr.2017.7892341","mag":"2605326771"},"language":"en","primary_location":{"id":"doi:10.1109/vr.2017.7892341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vr.2017.7892341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Virtual Reality (VR)","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/A5048084074","display_name":"Fumihiro Kato","orcid":"https://orcid.org/0000-0003-2836-0035"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fumihiro Kato","raw_affiliation_strings":["The University of Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034886610","display_name":"Charith Lasantha Fernando","orcid":null},"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":"Charith Lasantha Fernando","raw_affiliation_strings":["Keio Gijuku Daigaku, Minato-ku, Tokyo, JP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Keio Gijuku Daigaku, Minato-ku, Tokyo, JP","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069634436","display_name":"Yasuyuki Inoue","orcid":"https://orcid.org/0000-0002-7116-9132"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuyuki Inoue","raw_affiliation_strings":["The University of Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063302743","display_name":"Susumu Tachi","orcid":"https://orcid.org/0000-0003-3835-8246"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Susumu Tachi","raw_affiliation_strings":["The University of Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5321,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63920315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"81","issue":null,"first_page":"391","last_page":"392"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9966999888420105,"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"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9966999888420105,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9678999781608582,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9520999789237976,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8988323211669922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7180644869804382},{"id":"https://openalex.org/keywords/haptic-technology","display_name":"Haptic technology","score":0.7076908349990845},{"id":"https://openalex.org/keywords/feeling","display_name":"Feeling","score":0.6811563968658447},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5830633044242859},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5706110596656799},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5216851234436035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4301508665084839},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42117840051651},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21064463257789612}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8988323211669922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7180644869804382},{"id":"https://openalex.org/C152086174","wikidata":"https://www.wikidata.org/wiki/Q3030571","display_name":"Haptic technology","level":2,"score":0.7076908349990845},{"id":"https://openalex.org/C122980154","wikidata":"https://www.wikidata.org/wiki/Q205555","display_name":"Feeling","level":2,"score":0.6811563968658447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5830633044242859},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5706110596656799},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5216851234436035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4301508665084839},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42117840051651},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21064463257789612},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vr.2017.7892341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vr.2017.7892341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Virtual Reality (VR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338113","display_name":"Accelerated Innovation Research Initiative Turning Top Science and Ideas into High-Impact Values","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1751327189","https://openalex.org/W2026569567","https://openalex.org/W2039632702","https://openalex.org/W2183201923","https://openalex.org/W2538172027","https://openalex.org/W2538245206"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W2145836866","https://openalex.org/W2803255133"],"abstract_inverted_index":{"We":[0,85],"have":[1],"developed":[2],"a":[3,10,25,59,69,73],"classification":[4],"method":[5],"of":[6,27,32,48,52,61,102],"tactile":[7,33,54,89],"feeling":[8,34,55,90],"using":[9,72],"stacked":[11,70],"autoencoder-based":[12],"neural":[13,74],"network":[14,75],"on":[15],"haptic":[16,20],"primary":[17,21],"colors.":[18],"The":[19],"colors":[22],"principle":[23],"is":[24],"concept":[26],"decomposing":[28],"the":[29,46,49,53,88],"human":[30],"sensation":[31],"into":[35],"force,":[36],"vibration,":[37],"and":[38,80],"temperature.":[39],"Images":[40],"were":[41,65],"obtained":[42,56],"from":[43],"variation":[44],"in":[45],"frequency":[47],"time":[50],"series":[51],"when":[57],"tracing":[58],"surface":[60,94],"an":[62,100],"object,":[63],"features":[64],"extracted":[66],"by":[67],"employing":[68],"autoencoder":[71],"with":[76,99],"two":[77],"hidden":[78],"layers,":[79],"supervised":[81],"learning":[82],"was":[83],"conducted.":[84],"confirmed":[86],"that":[87],"for":[91],"three":[92],"different":[93],"materials":[95],"can":[96],"be":[97],"classified":[98],"accuracy":[101],"82.0":[103],"[%].":[104]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
