{"id":"https://openalex.org/W2112840279","doi":"https://doi.org/10.1109/fuzzy.2010.5584211","title":"Directional intention identification for running control of an omni-directional walker","display_name":"Directional intention identification for running control of an omni-directional walker","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2112840279","doi":"https://doi.org/10.1109/fuzzy.2010.5584211","mag":"2112840279"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2010.5584211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","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/A5102269504","display_name":"Yinlai Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I35568498","display_name":"Kochi University of Technology","ror":"https://ror.org/00rghrr56","country_code":"JP","type":"education","lineage":["https://openalex.org/I35568498"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yinlai Jiang","raw_affiliation_strings":["Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, Kochi, Japan","Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, 185 Miyanokuti, Tosayamada, Kami, Kochi 782-8502, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, Kochi, Japan","institution_ids":["https://openalex.org/I35568498"]},{"raw_affiliation_string":"Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, 185 Miyanokuti, Tosayamada, Kami, Kochi 782-8502, Japan","institution_ids":["https://openalex.org/I35568498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085134821","display_name":"Shuoyu Wang","orcid":"https://orcid.org/0000-0002-2111-6251"},"institutions":[{"id":"https://openalex.org/I35568498","display_name":"Kochi University of Technology","ror":"https://ror.org/00rghrr56","country_code":"JP","type":"education","lineage":["https://openalex.org/I35568498"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuoyu Wang","raw_affiliation_strings":["Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, Kochi, Japan","Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, 185 Miyanokuti, Tosayamada, Kami, Kochi 782-8502, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, Kochi, Japan","institution_ids":["https://openalex.org/I35568498"]},{"raw_affiliation_string":"Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, 185 Miyanokuti, Tosayamada, Kami, Kochi 782-8502, Japan","institution_ids":["https://openalex.org/I35568498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102269504"],"corresponding_institution_ids":["https://openalex.org/I35568498"],"apc_list":null,"apc_paid":null,"fwci":0.3201,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62299875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9850999712944031,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9850999712944031,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5919010639190674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5796683430671692},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.49076947569847107},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.48626697063446045},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4392208755016327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43537983298301697},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4341456890106201}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5919010639190674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5796683430671692},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.49076947569847107},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.48626697063446045},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4392208755016327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43537983298301697},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4341456890106201},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2010.5584211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W204385228","https://openalex.org/W1490891821","https://openalex.org/W1565692242","https://openalex.org/W1970104171","https://openalex.org/W2062706881","https://openalex.org/W2071782633","https://openalex.org/W2079325629","https://openalex.org/W2131894892","https://openalex.org/W2171050580","https://openalex.org/W2572895736","https://openalex.org/W2576182836","https://openalex.org/W2732093481","https://openalex.org/W2772048817","https://openalex.org/W6608372658","https://openalex.org/W6629345790","https://openalex.org/W6633826129"],"related_works":["https://openalex.org/W2898732673","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W1972473893","https://openalex.org/W2466435674","https://openalex.org/W2765200542","https://openalex.org/W2367893528","https://openalex.org/W3107784576","https://openalex.org/W242750434"],"abstract_inverted_index":{"Walking":[0],"is":[1,41,52,80,98,141,160],"a":[2,9,70,96,102],"vital":[3],"exercise":[4],"for":[5,13,28,43,143],"health":[6],"promotion":[7],"and":[8,31,66,130],"fundamental":[10],"ability":[11],"necessary":[12,42],"everyday":[14],"life.":[15],"In":[16,34,93],"the":[17,35,44,58,63,86,108,117,121,125,155,158,172],"authors'":[18],"previous":[19],"studies,":[20],"an":[21,81,139],"omni-directional":[22],"walker":[23],"(ODW)":[24],"has":[25],"been":[26],"developed":[27],"walking":[29,32,38],"rehabilitation":[30],"support.":[33],"case":[36],"of":[37,69,157],"support,":[39],"it":[40,79],"ODW":[45],"to":[46,54,57,84,100,107],"know":[47],"which":[48,110,164],"direction":[49],"its":[50],"user":[51,71],"intending":[53],"go":[55],"according":[56,106],"user's":[59,103,122],"manipulation.":[60,92],"However,":[61],"since":[62],"directional":[64,88,104,131,144],"intention":[65,89,105,132,145],"physical":[67,91],"manipulation":[68],"are":[72,111,169],"not":[73],"always":[74],"consistent":[75,170],"with":[76,171],"each":[77],"other,":[78],"important":[82],"subject":[83],"identify":[85],"real":[87],"from":[90,120],"this":[94],"paper,":[95],"method":[97],"proposed":[99,142],"recognize":[101],"pressures,":[109],"measured":[112],"by":[113,162],"sensors":[114],"embedded":[115],"in":[116],"ODW's":[118],"armrest,":[119],"forearms.":[123],"Firstly,":[124],"relationship":[126],"between":[127],"forearm":[128],"pressure":[129],"was":[133],"extracted":[134],"as":[135],"fuzzy":[136],"rules.":[137],"Then":[138],"algorithm":[140,159],"identification":[146],"based":[147],"on":[148],"Distance-Type":[149],"Fuzzy":[150],"Reasoning":[151],"Method":[152],"(DTFRM).":[153],"Finally,":[154],"effectiveness":[156],"verified":[161],"experiments,":[163],"show":[165],"that":[166],"reasoning":[167],"results":[168],"intended":[173],"directions.":[174]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
