{"id":"https://openalex.org/W2578910253","doi":"https://doi.org/10.1109/icsens.2016.7808902","title":"Tactile sensing method for estimating the insertion state of a connector","display_name":"Tactile sensing method for estimating the insertion state of a connector","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2578910253","doi":"https://doi.org/10.1109/icsens.2016.7808902","mag":"2578910253"},"language":"en","primary_location":{"id":"doi:10.1109/icsens.2016.7808902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsens.2016.7808902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE SENSORS","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/A5068472303","display_name":"Kouji Murakami","orcid":null},"institutions":[{"id":"https://openalex.org/I199028557","display_name":"Kyushu Sangyo University","ror":"https://ror.org/01wqrpc44","country_code":"JP","type":"education","lineage":["https://openalex.org/I199028557"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kouji Murakami","raw_affiliation_strings":["Kyushu Sangyo University, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu Sangyo University, Fukuoka, Japan","institution_ids":["https://openalex.org/I199028557"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068472303"],"corresponding_institution_ids":["https://openalex.org/I199028557"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19396081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9998999834060669,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/cable-gland","display_name":"Cable gland","score":0.843009352684021},{"id":"https://openalex.org/keywords/header","display_name":"Header","score":0.831729531288147},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.723107099533081},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.5794292092323303},{"id":"https://openalex.org/keywords/insertion-loss","display_name":"Insertion loss","score":0.5556052327156067},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.517052948474884},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4860013425350189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42659637331962585},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.39840346574783325},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.2535824179649353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19920846819877625},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15785053372383118}],"concepts":[{"id":"https://openalex.org/C110925319","wikidata":"https://www.wikidata.org/wiki/Q12855","display_name":"Cable gland","level":2,"score":0.843009352684021},{"id":"https://openalex.org/C48105269","wikidata":"https://www.wikidata.org/wiki/Q1141160","display_name":"Header","level":2,"score":0.831729531288147},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.723107099533081},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.5794292092323303},{"id":"https://openalex.org/C90327742","wikidata":"https://www.wikidata.org/wiki/Q947396","display_name":"Insertion loss","level":2,"score":0.5556052327156067},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.517052948474884},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4860013425350189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42659637331962585},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.39840346574783325},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.2535824179649353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19920846819877625},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15785053372383118},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icsens.2016.7808902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsens.2016.7808902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE SENSORS","raw_type":"proceedings-article"},{"id":"mag:2747395679","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/201702231222011570","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2126701792","https://openalex.org/W2142844288"],"related_works":["https://openalex.org/W2171597999","https://openalex.org/W2189136227","https://openalex.org/W1866537546","https://openalex.org/W630850086","https://openalex.org/W3200508093","https://openalex.org/W4372053344","https://openalex.org/W3193978431","https://openalex.org/W2379752180","https://openalex.org/W2519240373","https://openalex.org/W1906822756"],"abstract_inverted_index":{"Robot":[0],"hand/arm":[1],"systems":[2],"attempt":[3],"to":[4,10,57,78,96],"insert":[5],"pins":[6],"into":[7],"the":[8,38,42,47,58,83,97,100,106,110,119,125,144,151,163,171],"sockets":[9],"form":[11],"connectors,":[12],"such":[13],"as":[14,31],"those":[15],"in":[16,109,177],"circuit":[17],"boards.":[18],"A":[19],"tactile":[20,152],"sensing":[21,153,160],"method":[22],"using":[23],"a":[24,28,32,53,61,67],"pin":[25,29,54,62,85,107],"header":[26,63],"and":[27,154],"socket":[30,55,108],"connector":[33],"is":[34,64,73,94,116,128,166],"proposed":[35],"for":[36,131,142],"estimating":[37],"insertion":[39,59,114,172],"state":[40,115,173],"of":[41,46,49,52,60,90,99,102,105,124,162,170],"connector.":[43],"The":[44,70,87,113,122,147,168],"change":[45,98],"amount":[48,101],"empty":[50,103],"space":[51,104],"due":[56],"measured":[65],"by":[66,118],"vibration":[68,71,92,126,145],"wave.":[69,146],"wave":[72,93,127],"transmitted":[74],"from":[75],"one":[76],"fingertip":[77,81],"another":[79],"opposite":[80],"through":[82],"grasped":[84],"socket.":[86],"spectral":[88,120],"intensity":[89],"this":[91,132,136],"related":[95],"mating":[111],"process.":[112],"estimated":[117],"intensity.":[121],"frequency":[123],"also":[129],"calculated":[130],"measurement.":[133],"To":[134],"realize":[135],"method,":[137],"robotic":[138],"fingertips":[139,148],"were":[140],"developed":[141],"transmitting":[143],"perform":[149],"both":[150],"grasping":[155],"function,":[156],"so":[157],"no":[158],"additional":[159],"motion":[161],"robot":[164],"hand":[165],"needed.":[167],"measurement":[169],"was":[174],"successfully":[175],"demonstrated":[176],"an":[178],"experiment.":[179]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
