{"id":"https://openalex.org/W4408521027","doi":"https://doi.org/10.1109/cw64301.2024.00054","title":"Classification of Human Tactile Perception Using Vibration Data","display_name":"Classification of Human Tactile Perception Using Vibration Data","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4408521027","doi":"https://doi.org/10.1109/cw64301.2024.00054"},"language":"en","primary_location":{"id":"doi:10.1109/cw64301.2024.00054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cw64301.2024.00054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Cyberworlds (CW)","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/A5006008510","display_name":"Hyung-Tak Lee","orcid":"https://orcid.org/0000-0002-4336-0538"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyung-Tak Lee","raw_affiliation_strings":["Korea University,Dept. Electronics and Information Engineering,Sejong,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Dept. Electronics and Information Engineering,Sejong,Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008995468","display_name":"K. Mohamed Bak","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Keungyonh Bak","raw_affiliation_strings":["Korea University,Dept. Electronics and Information Engineering,Sejong,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Dept. Electronics and Information Engineering,Sejong,Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052375758","display_name":"Sungwoo Chun","orcid":"https://orcid.org/0000-0002-8533-0388"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungwoo Chun","raw_affiliation_strings":["Korea University,Dept. Electronics and Information Engineering,Sejong,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Dept. Electronics and Information Engineering,Sejong,Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066186528","display_name":"Han-Jeong Hwang","orcid":"https://orcid.org/0000-0002-1183-1219"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Han-Jeong Hwang","raw_affiliation_strings":["Korea University,Dept. Electronics and Information Engineering,Sejong,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Dept. Electronics and Information Engineering,Sejong,Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006008510"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28305716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"183","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.8996000289916992,"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":0.8996000289916992,"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/T12496","display_name":"Color perception and design","score":0.8694999814033508,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11595","display_name":"Textile materials and evaluations","score":0.866100013256073,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6343477964401245},{"id":"https://openalex.org/keywords/tactile-perception","display_name":"Tactile perception","score":0.6308583617210388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.608086884021759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5490515232086182},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.4653061032295227},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.460053414106369},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36629197001457214},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3475053310394287},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.2240980863571167},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20705342292785645},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08623954653739929},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07770636677742004}],"concepts":[{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6343477964401245},{"id":"https://openalex.org/C3017819093","wikidata":"https://www.wikidata.org/wiki/Q328835","display_name":"Tactile perception","level":3,"score":0.6308583617210388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.608086884021759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5490515232086182},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.4653061032295227},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.460053414106369},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36629197001457214},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3475053310394287},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.2240980863571167},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20705342292785645},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08623954653739929},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07770636677742004}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cw64301.2024.00054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cw64301.2024.00054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Cyberworlds (CW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2137930184","https://openalex.org/W2559463885","https://openalex.org/W2741907166","https://openalex.org/W2800428573","https://openalex.org/W2926440685","https://openalex.org/W2940682483","https://openalex.org/W2963015618","https://openalex.org/W3008159994","https://openalex.org/W3109509490","https://openalex.org/W3185503317"],"related_works":["https://openalex.org/W2628861693","https://openalex.org/W3203087560","https://openalex.org/W2995569247","https://openalex.org/W2361261209","https://openalex.org/W4389241047","https://openalex.org/W4361279463","https://openalex.org/W2997776052","https://openalex.org/W2331107224","https://openalex.org/W2628527627","https://openalex.org/W2357911031"],"abstract_inverted_index":{"To":[0],"enhance":[1],"the":[2,7,38,43,63,102,109,124,139,142,160,164,171,180,197],"sense":[3],"of":[4,104,108,127,141,188,199,202,208],"reality":[5],"in":[6,40,75],"VR":[8],"environment,":[9],"it":[10],"is":[11,81],"essential":[12,82],"to":[13,27,36,61,72,100],"incorporate":[14],"not":[15,83],"only":[16,31,84],"visual":[17],"and":[18,66,95,134],"hearing":[19],"but":[20,89],"also":[21,90],"tactile":[22,28,44,55,70,78,112,121,143,209],"feedback.":[23],"Previous":[24],"studies":[25],"related":[26],"sensation":[29],"have":[30],"focused":[32],"on":[33],"object":[34,39,88],"classification":[35,80,150],"identify":[37],"contact":[41],"with":[42,145,215],"sensor.":[45],"When":[46],"people":[47],"encounter":[48],"a":[49,185],"new":[50],"object,":[51],"they":[52],"can":[53,212],"use":[54],"perception":[56,79,210],"information,":[57],"such":[58],"as":[59,170],"roughness,":[60,106,203],"understand":[62],"object\u2019s":[64],"attributes":[65,94],"functions.":[67,96],"Therefore,":[68],"for":[69,85,91,175,196],"research":[71],"be":[73,213],"applicable":[74],"real-life":[76],"scenarios,":[77],"classifying":[86],"an":[87,131],"recognizing":[92],"its":[93,168],"This":[97],"study":[98],"aims":[99],"investigate":[101],"possibility":[103],"predicting":[105],"one":[107],"important":[110],"human":[111],"perceptions,":[113],"using":[114,130,153],"deep":[115,155],"learning":[116,156],"models.":[117],"We":[118],"created":[119],"63":[120],"samples,":[122],"measured":[123],"vibration":[125,177],"data":[126],"each":[128],"sample":[129],"acceleration":[132],"sensor,":[133],"investigated":[135],"how":[136],"humans":[137],"perceive":[138],"roughness":[140],"samples":[144],"five":[146,154,200],"different":[147,206],"levels.":[148],"Object":[149],"was":[151],"performed":[152],"models,":[157],"among":[158],"which":[159],"Shallow":[161,181],"ConvNet":[162],"achieved":[163],"highest":[165],"performance,":[166],"confirming":[167],"suitability":[169],"most":[172],"appropriate":[173],"model":[174],"analyzing":[176],"data.":[178],"Using":[179],"ConvNet,":[182],"we":[183],"attained":[184],"high":[186,216],"accuracy":[187],"$\\mathbf{9":[189],"8.":[190],"6}":[191],"\\pm":[192],"\\mathbf{5.":[193],"6":[194],"\\%}$":[195],"identification":[198],"levels":[201,207],"demonstrating":[204],"that":[205],"information":[211],"discriminated":[214],"performance.":[217]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
