{"id":"https://openalex.org/W2283382140","doi":"https://doi.org/10.1109/gcce.2015.7398730","title":"Development of automatic barrier detection system for wheelchair","display_name":"Development of automatic barrier detection system for wheelchair","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2283382140","doi":"https://doi.org/10.1109/gcce.2015.7398730","mag":"2283382140"},"language":"en","primary_location":{"id":"doi:10.1109/gcce.2015.7398730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2015.7398730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 4th Global Conference on Consumer Electronics (GCCE)","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/A5001484499","display_name":"Hiroki Taniue","orcid":null},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Taniue","raw_affiliation_strings":["Department of Mechanical Engineering Saitama, University Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering Saitama, University Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057590515","display_name":"Junichi H. Kaneko","orcid":"https://orcid.org/0000-0002-5803-8058"},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun'ichi Kaneko","raw_affiliation_strings":["Department of Mechano-Science, Saitama University Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechano-Science, Saitama University Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101893272","display_name":"Kazuyuki Kojima","orcid":"https://orcid.org/0000-0003-1039-1749"},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuyuki Kojima","raw_affiliation_strings":["Department of Mechano-Robotics, Saitama University, Saitama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechano-Robotics, Saitama University, Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.333,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65825503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"75","issue":null,"first_page":"374","last_page":"376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9750999808311462,"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":0.9750999808311462,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9578999876976013,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13176","display_name":"Winter Sports Injuries and Performance","score":0.9448999762535095,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wheelchair","display_name":"Wheelchair","score":0.9546686410903931},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.6695634126663208},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6317380666732788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6139259338378906},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5818071365356445},{"id":"https://openalex.org/keywords/torque","display_name":"Torque","score":0.5618302226066589},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.52027827501297},{"id":"https://openalex.org/keywords/rotary-encoder","display_name":"Rotary encoder","score":0.516130805015564},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.4936269521713257},{"id":"https://openalex.org/keywords/digital-mapping","display_name":"Digital mapping","score":0.4716799855232239},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4671093225479126},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.36932307481765747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33072954416275024},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.09561622142791748},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08936533331871033},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07942447066307068},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.07199525833129883}],"concepts":[{"id":"https://openalex.org/C2781042323","wikidata":"https://www.wikidata.org/wiki/Q191931","display_name":"Wheelchair","level":2,"score":0.9546686410903931},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.6695634126663208},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6317380666732788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6139259338378906},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5818071365356445},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.5618302226066589},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.52027827501297},{"id":"https://openalex.org/C37488316","wikidata":"https://www.wikidata.org/wiki/Q53699","display_name":"Rotary encoder","level":3,"score":0.516130805015564},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.4936269521713257},{"id":"https://openalex.org/C181672929","wikidata":"https://www.wikidata.org/wiki/Q4115141","display_name":"Digital mapping","level":2,"score":0.4716799855232239},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4671093225479126},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.36932307481765747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33072954416275024},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.09561622142791748},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08936533331871033},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07942447066307068},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.07199525833129883},{"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce.2015.7398730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2015.7398730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 4th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.47999998927116394,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W138055060","https://openalex.org/W1995041320","https://openalex.org/W2014923592","https://openalex.org/W2023093360","https://openalex.org/W2163616367"],"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/W2076341217","https://openalex.org/W2992410632","https://openalex.org/W2768717251","https://openalex.org/W2025756212","https://openalex.org/W3177156589"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,18,32,43,47,54,74],"system":[4,21],"that":[5,41],"detects":[6],"barriers":[7,25,79],"for":[8,61],"wheelchair":[9,40,75],"users,":[10],"such":[11,24,63,78],"as":[12],"level":[13],"differences":[14],"and":[15,27,53,104],"slopes":[16],"on":[17,31,102,122],"road.":[19],"The":[20],"searches":[22],"out":[23],"automatically":[26],"records":[28],"the":[29,39,86,112,116,120,123],"positions":[30],"digital":[33],"map.":[34],"We":[35],"have":[36],"been":[37],"developing":[38],"has":[42],"2-D":[44],"Laser":[45],"rangefinder,":[46],"GPS":[48],"receiver,":[49],"accelerometers,":[50],"rotary":[51],"encoders":[52],"sphere":[55],"image":[56],"camera":[57],"to":[58,114,119],"use":[59],"it":[60,82],"detecting":[62],"barriers.":[64],"In":[65,91],"our":[66,108],"system,":[67],"proper":[68],"prediction":[69],"of":[70],"condition":[71,117],"in":[72],"which":[73,98],"user":[76],"notices":[77],"during":[80],"riding":[81],"is":[83,125],"needed.":[84],"However,":[85],"detection":[87],"was":[88],"quite":[89],"limited.":[90],"this":[92],"paper,":[93],"we":[94],"added":[95],"an":[96],"apparatus,":[97],"can":[99],"measure":[100],"torque":[101,121],"right":[103],"left":[105],"wheels,":[106],"into":[107],"proposed":[109],"system.":[110],"Then":[111],"method":[113],"predict":[115],"referring":[118],"wheels":[124],"discussed.":[126]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}