{"id":"https://openalex.org/W2838247043","doi":"https://doi.org/10.1109/i2mtc.2018.8409518","title":"Automation of a wheelchair mounted robotic arm using computer vision interface","display_name":"Automation of a wheelchair mounted robotic arm using computer vision interface","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2838247043","doi":"https://doi.org/10.1109/i2mtc.2018.8409518","mag":"2838247043"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2018.8409518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2018.8409518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5065008501","display_name":"Priyanka Karuppiah","orcid":null},"institutions":[{"id":"https://openalex.org/I142934699","display_name":"California State University, Fullerton","ror":"https://ror.org/02avqqw26","country_code":"US","type":"education","lineage":["https://openalex.org/I142934699"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Priyanka Karuppiah","raw_affiliation_strings":["Department of Computer Engineering, California State University Fullerton, Fullerton, California"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, California State University Fullerton, Fullerton, California","institution_ids":["https://openalex.org/I142934699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079285374","display_name":"Hem Metalia","orcid":null},"institutions":[{"id":"https://openalex.org/I142934699","display_name":"California State University, Fullerton","ror":"https://ror.org/02avqqw26","country_code":"US","type":"education","lineage":["https://openalex.org/I142934699"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hem Metalia","raw_affiliation_strings":["Department of Computer Engineering, California State University Fullerton, Fullerton, California"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, California State University Fullerton, Fullerton, California","institution_ids":["https://openalex.org/I142934699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109052390","display_name":"Kiran George","orcid":null},"institutions":[{"id":"https://openalex.org/I142934699","display_name":"California State University, Fullerton","ror":"https://ror.org/02avqqw26","country_code":"US","type":"education","lineage":["https://openalex.org/I142934699"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kiran George","raw_affiliation_strings":["Department of Computer Engineering, California State University Fullerton, Fullerton, California"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, California State University Fullerton, Fullerton, California","institution_ids":["https://openalex.org/I142934699"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065008501"],"corresponding_institution_ids":["https://openalex.org/I142934699"],"apc_list":null,"apc_paid":null,"fwci":1.6299,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.83790721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9994999766349792,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9972000122070312,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9571999907493591,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wheelchair","display_name":"Wheelchair","score":0.860622763633728},{"id":"https://openalex.org/keywords/robotic-arm","display_name":"Robotic arm","score":0.805160641670227},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5836092233657837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5821029543876648},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5579307079315186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5547524690628052},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5250772833824158},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4630601108074188},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4542374014854431},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45387640595436096},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.43753576278686523},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4284302592277527},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2770691514015198}],"concepts":[{"id":"https://openalex.org/C2781042323","wikidata":"https://www.wikidata.org/wiki/Q191931","display_name":"Wheelchair","level":2,"score":0.860622763633728},{"id":"https://openalex.org/C150415221","wikidata":"https://www.wikidata.org/wiki/Q40687","display_name":"Robotic arm","level":2,"score":0.805160641670227},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5836092233657837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5821029543876648},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5579307079315186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5547524690628052},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5250772833824158},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4630601108074188},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4542374014854431},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45387640595436096},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.43753576278686523},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4284302592277527},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2770691514015198},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2018.8409518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2018.8409518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.46000000834465027,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1508397741","https://openalex.org/W2023675998","https://openalex.org/W2033014878","https://openalex.org/W2171741667","https://openalex.org/W6659104551"],"related_works":["https://openalex.org/W4378364071","https://openalex.org/W2399287283","https://openalex.org/W1998563140","https://openalex.org/W2724219770","https://openalex.org/W2742303892","https://openalex.org/W2065035327","https://openalex.org/W2076341217","https://openalex.org/W3212501559","https://openalex.org/W2163695145","https://openalex.org/W3159376255"],"abstract_inverted_index":{"Assistive":[0],"robotic":[1,57,69,164],"devices":[2],"have":[3,150],"great":[4],"potential":[5],"to":[6,31,138,146],"improve":[7],"the":[8,89,93,105,122,130,141,147,160,163],"quality":[9],"of":[10,37,74,92,104,129,162,173],"life":[11],"for":[12,43],"individuals":[13],"suffering":[14],"with":[15,27,46,71],"movement":[16],"disorders.":[17,49],"One":[18,85],"such":[19],"device":[20],"is":[21,124,134,166,176],"a":[22,61,68,99,109],"robot-arm":[23],"which":[24],"helps":[25],"people":[26],"upper":[28,47],"body":[29],"mobility":[30],"perform":[32],"daily":[33],"tasks.":[34],"Manual":[35],"control":[36],"robot":[38],"arms":[39],"can":[40],"be":[41],"challenging":[42],"wheelchair":[44,55,106],"users":[45],"extremity":[48],"This":[50],"research":[51],"presents":[52],"an":[53,76],"autonomous":[54],"mounted":[56],"arm":[58,70,133,165],"built":[59],"using":[60,108],"computer":[62,79,110],"vision":[63,83,86,111,115],"interface.":[64],"The":[65,113,132],"design":[66],"utilizes":[67],"six":[72],"degrees":[73],"freedom,":[75],"electric":[77],"wheelchair,":[78],"system":[80],"and":[81,143,159],"two":[82],"sensors.":[84],"sensor":[87,116],"detects":[88],"coarse":[90],"position":[91],"colored":[94],"objects":[95,155],"placed":[96],"randomly":[97],"on":[98],"shelf":[100],"located":[101],"in":[102,127],"front":[103,128],"by":[107,120,153],"algorithm.":[112],"other":[114],"provides":[117],"fine":[118],"localization":[119],"ensuring":[121],"object":[123,142],"correctly":[125],"positioned":[126],"gripper.":[131],"then":[135],"controlled":[136],"automatically":[137],"pick":[139],"up":[140],"return":[144],"it":[145],"user.":[148],"Tests":[149],"been":[151],"conducted":[152],"placing":[154],"at":[156],"different":[157],"locations":[158],"performance":[161],"tabulated.":[167],"An":[168],"average":[169],"task":[170],"completion":[171],"time":[172],"37.52":[174],"seconds":[175],"achieved.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-01-10T23:39:48.068659","created_date":"2025-10-10T00:00:00"}