{"id":"https://openalex.org/W2048132605","doi":"https://doi.org/10.1109/tim.2013.2293812","title":"A Novel Texture Sensor for Fabric Texture Measurement and Classification","display_name":"A Novel Texture Sensor for Fabric Texture Measurement and Classification","publication_year":2014,"publication_date":"2014-01-31","ids":{"openalex":"https://openalex.org/W2048132605","doi":"https://doi.org/10.1109/tim.2013.2293812","mag":"2048132605"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2013.2293812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2013.2293812","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5048327458","display_name":"Aiguo Song","orcid":"https://orcid.org/0000-0002-1982-6780"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aiguo Song","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China","School of Instrument Science and Engineering, Southeast University, Nanjing, China;"],"affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China;","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046351794","display_name":"Yezhen Han","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yezhen Han","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China","School of Instrument Science and Engineering, Southeast University, Nanjing, China;"],"affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China;","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102983152","display_name":"Haihua Hu","orcid":"https://orcid.org/0000-0002-0655-8852"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haihua Hu","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China","School of Instrument Science and Engineering, Southeast University, Nanjing, China;"],"affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China;","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100641150","display_name":"Jianqing Li","orcid":"https://orcid.org/0000-0002-3524-8933"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqing Li","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China","School of Instrument Science and Engineering, Southeast University, Nanjing, China;"],"affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China;","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048327458"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":17.2415,"has_fulltext":false,"cited_by_count":109,"citation_normalized_percentile":{"value":0.99304903,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"63","issue":"7","first_page":"1739","last_page":"1747"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9904000163078308,"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/bidirectional-texture-function","display_name":"Bidirectional texture function","score":0.7137711048126221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.701870322227478},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6196050047874451},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.5791944861412048},{"id":"https://openalex.org/keywords/surface-finish","display_name":"Surface finish","score":0.5548798441886902},{"id":"https://openalex.org/keywords/polyvinylidene-fluoride","display_name":"Polyvinylidene fluoride","score":0.5396990180015564},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.5312818288803101},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49736693501472473},{"id":"https://openalex.org/keywords/surface-roughness","display_name":"Surface roughness","score":0.4533786177635193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44405949115753174},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.443922221660614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4128653109073639},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4065621495246887},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3704553246498108},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.16920161247253418},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.10490384697914124},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08476844429969788},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08249908685684204}],"concepts":[{"id":"https://openalex.org/C165164221","wikidata":"https://www.wikidata.org/wiki/Q261078","display_name":"Bidirectional texture function","level":5,"score":0.7137711048126221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.701870322227478},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6196050047874451},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.5791944861412048},{"id":"https://openalex.org/C71039073","wikidata":"https://www.wikidata.org/wiki/Q3439090","display_name":"Surface finish","level":2,"score":0.5548798441886902},{"id":"https://openalex.org/C2776254723","wikidata":"https://www.wikidata.org/wiki/Q146393","display_name":"Polyvinylidene fluoride","level":3,"score":0.5396990180015564},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.5312818288803101},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49736693501472473},{"id":"https://openalex.org/C107365816","wikidata":"https://www.wikidata.org/wiki/Q114817","display_name":"Surface roughness","level":2,"score":0.4533786177635193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44405949115753174},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.443922221660614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4128653109073639},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4065621495246887},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3704553246498108},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.16920161247253418},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.10490384697914124},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08476844429969788},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08249908685684204},{"id":"https://openalex.org/C521977710","wikidata":"https://www.wikidata.org/wiki/Q81163","display_name":"Polymer","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2013.2293812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2013.2293812","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G182006291","display_name":null,"funder_award_id":"BK2010063","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G2077490531","display_name":null,"funder_award_id":"61325018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5315518494","display_name":null,"funder_award_id":"61240032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5392419920","display_name":null,"funder_award_id":"61272379","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1504380502","https://openalex.org/W1606092312","https://openalex.org/W1968598997","https://openalex.org/W1988646500","https://openalex.org/W2000736405","https://openalex.org/W2003660891","https://openalex.org/W2026596607","https://openalex.org/W2046048900","https://openalex.org/W2047445009","https://openalex.org/W2051206802","https://openalex.org/W2064606568","https://openalex.org/W2094704372","https://openalex.org/W2103548309","https://openalex.org/W2109925328","https://openalex.org/W2114268544","https://openalex.org/W2121496208","https://openalex.org/W2122769083","https://openalex.org/W2124541215","https://openalex.org/W2126438604","https://openalex.org/W2133013766","https://openalex.org/W2138610981","https://openalex.org/W2146260315","https://openalex.org/W2146787660","https://openalex.org/W2152878251","https://openalex.org/W2158227795","https://openalex.org/W2158846073","https://openalex.org/W2160137813","https://openalex.org/W2311297018","https://openalex.org/W6678836841","https://openalex.org/W6683727177"],"related_works":["https://openalex.org/W2154859065","https://openalex.org/W2071839258","https://openalex.org/W2123435361","https://openalex.org/W2387032418","https://openalex.org/W4312711332","https://openalex.org/W3204757516","https://openalex.org/W1967418220","https://openalex.org/W2092291079","https://openalex.org/W2016021662","https://openalex.org/W112010609"],"abstract_inverted_index":{"Surface":[0],"texture":[1,24,30,53,71,87,115,151,159],"is":[2,40,58,129,146,161],"one":[3],"of":[4,21,76,96,100,109,168],"the":[5,43,62,70,74,77,85,93,97,101,105,110,121,157,165,176,181],"important":[6],"cues":[7],"for":[8,150,175],"human":[9,28],"beings":[10],"to":[11,46,60,179],"identify":[12],"different":[13,182],"fabrics.":[14,183],"This":[15],"paper":[16],"presents":[17],"a":[18,22,48,56,66,133],"novel":[19],"design":[20],"surface":[23,52,75,86,170],"sensor":[25,72,102,160],"by":[26,32,104,119],"imitating":[27],"active":[29],"perception":[31],"touch.":[33],"A":[34,114],"thin":[35],"polyvinylidene":[36],"fluoride":[37],"(PVDF)":[38],"film":[39,99],"used":[41,147],"as":[42,92,148],"sensitive":[44],"element":[45],"fabricate":[47],"high-accuracy,":[49],"high-speed-response":[50],"fabric":[51,79,112,169],"sensor,":[54],"and":[55,73],"mechanism":[57],"designed":[59],"produce":[61],"relative":[63],"motion":[64],"at":[65],"certain":[67],"speed":[68],"between":[69],"perceived":[78],"with":[80],"constant":[81],"contact":[82],"force.":[83],"Thus,":[84],"property":[88],"can":[89],"be":[90],"measured":[91],"output":[94],"charge":[95],"PVDF":[98],"induced":[103],"small":[106],"height/depth":[107],"variation":[108],"moving":[111],"surface.":[113],"feature":[116,166],"extraction":[117],"method":[118],"compressing":[120],"zero":[122],"value":[123],"spectral":[124],"lines":[125],"in":[126,163],"frequency":[127],"domain":[128],"proposed.":[130],"In":[131],"addition,":[132],"radial":[134],"basis":[135],"function":[136],"(RBF)":[137],"neural":[138],"networks":[139,178],"based":[140],"on":[141],"unsupervised":[142],"K-means":[143],"clustering":[144],"algorithm":[145],"classifier":[149],"recognition.":[152],"The":[153],"experiments":[154],"show":[155],"that":[156],"proposed":[158],"effective":[162],"detecting":[164],"signals":[167],"textures,":[171],"which":[172],"are":[173],"suitable":[174],"RBF":[177],"classify":[180]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}