{"id":"https://openalex.org/W2574839646","doi":"https://doi.org/10.1109/icsens.2016.7808496","title":"Multi-functional capacitive proximity sensing system for industrial safety applications","display_name":"Multi-functional capacitive proximity sensing system for industrial safety applications","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2574839646","doi":"https://doi.org/10.1109/icsens.2016.7808496","mag":"2574839646"},"language":"en","primary_location":{"id":"doi:10.1109/icsens.2016.7808496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsens.2016.7808496","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/A5025837112","display_name":"Fan Xia","orcid":"https://orcid.org/0000-0001-6312-1342"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fan Xia","raw_affiliation_strings":["School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014284015","display_name":"Behraad Bahreyni","orcid":"https://orcid.org/0000-0001-6809-1445"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Behraad Bahreyni","raw_affiliation_strings":["School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070004082","display_name":"Fabio Campi","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fabio Campi","raw_affiliation_strings":["School of Engineering Science, Simon Fraser University, Burnaby, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering Science, Simon Fraser University, Burnaby, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":1.6201,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.85781878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"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":0.9987000226974487,"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":0.9987000226974487,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9948999881744385,"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/T11687","display_name":"Teleoperation and Haptic Systems","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/capacitive-sensing","display_name":"Capacitive sensing","score":0.7995805144309998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6089400053024292},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5716274380683899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5049617886543274},{"id":"https://openalex.org/keywords/capacitance","display_name":"Capacitance","score":0.46801862120628357},{"id":"https://openalex.org/keywords/proximity-sensor","display_name":"Proximity sensor","score":0.45802316069602966},{"id":"https://openalex.org/keywords/capacitor","display_name":"Capacitor","score":0.4573497176170349},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42922982573509216},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.41913220286369324},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.35799920558929443},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26286107301712036},{"id":"https://openalex.org/keywords/electrode","display_name":"Electrode","score":0.21551820635795593},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.16607317328453064},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.13095977902412415},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09227228164672852}],"concepts":[{"id":"https://openalex.org/C206755178","wikidata":"https://www.wikidata.org/wiki/Q1131271","display_name":"Capacitive sensing","level":2,"score":0.7995805144309998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6089400053024292},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5716274380683899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5049617886543274},{"id":"https://openalex.org/C30066665","wikidata":"https://www.wikidata.org/wiki/Q164399","display_name":"Capacitance","level":3,"score":0.46801862120628357},{"id":"https://openalex.org/C135403697","wikidata":"https://www.wikidata.org/wiki/Q796765","display_name":"Proximity sensor","level":2,"score":0.45802316069602966},{"id":"https://openalex.org/C52192207","wikidata":"https://www.wikidata.org/wiki/Q5322","display_name":"Capacitor","level":3,"score":0.4573497176170349},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42922982573509216},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.41913220286369324},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.35799920558929443},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26286107301712036},{"id":"https://openalex.org/C17525397","wikidata":"https://www.wikidata.org/wiki/Q176140","display_name":"Electrode","level":2,"score":0.21551820635795593},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.16607317328453064},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.13095977902412415},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09227228164672852},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icsens.2016.7808496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsens.2016.7808496","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:2752330403","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702261475002472","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2000400208","https://openalex.org/W2034328688","https://openalex.org/W2063812706","https://openalex.org/W2094537981","https://openalex.org/W2117410895","https://openalex.org/W2137424487","https://openalex.org/W2153635508","https://openalex.org/W4249279051"],"related_works":["https://openalex.org/W2348740411","https://openalex.org/W340201814","https://openalex.org/W2051563071","https://openalex.org/W1966596465","https://openalex.org/W2337947459","https://openalex.org/W4386858602","https://openalex.org/W2080773395","https://openalex.org/W3212531278","https://openalex.org/W2099626417","https://openalex.org/W2118205267"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,37,42,46,52,67],"capacitive":[4],"sensing":[5,125],"system,":[6],"addressing":[7],"the":[8,75,84,100,104,128,140],"issue":[9],"of":[10,23,36,39,60,130],"collision":[11],"avoidance":[12],"in":[13,147],"partially":[14],"modelled":[15],"or":[16],"unknown":[17],"robot-assisted":[18],"industrial":[19],"environment":[20],"by":[21,83],"means":[22],"object":[24],"distance":[25,101],"measurement,":[26],"motion":[27],"tracking,":[28],"and":[29,51,102,142],"surface":[30,121],"profile":[31,148],"detection.":[32],"The":[33,56,71,123],"sensor":[34],"consists":[35],"mesh":[38,57],"multiple":[40,90],"electrodes,":[41],"digital":[43,49,85],"control":[44,86],"module,":[45],"capacitance":[47],"to":[48,65,88,98,116,119,136],"converter,":[50],"data":[53,118],"processing":[54],"module.":[55],"is":[58,114],"composed":[59],"16":[61],"metal":[62],"squares":[63],"organized":[64],"form":[66],"4\u00d74":[68],"capacitor":[69],"matrix.":[70],"electrode":[72],"connections":[73],"within":[74],"matrix":[76],"can":[77],"be":[78],"reconfigured":[79],"at":[80,133],"run":[81],"time":[82],"logic":[87],"provide":[89],"sense":[91],"functionalities.":[92],"Statistical":[93],"regression":[94],"models":[95],"are":[96],"applied":[97,115],"derive":[99],"track":[103],"motion.":[105],"A":[106],"machine":[107],"learning":[108],"algorithm":[109],"(Support":[110],"Vector":[111],"Machine,":[112],"SVM)":[113],"measured":[117],"classify":[120],"profiles.":[122],"fabricated":[124],"system":[126],"has":[127],"ability":[129],"detecting":[131],"objects":[132],"distances":[134],"up":[135],"20":[137],"cm":[138],"from":[139],"sensor,":[141],"shows":[143],"accuracy":[144],"over":[145],"90%":[146],"recognition.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}