{"id":"https://openalex.org/W2794192994","doi":"https://doi.org/10.1109/ccnc.2018.8319310","title":"A novel obstacle avoidance system for guiding the visually impaired through the use of fuzzy control logic","display_name":"A novel obstacle avoidance system for guiding the visually impaired through the use of fuzzy control logic","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2794192994","doi":"https://doi.org/10.1109/ccnc.2018.8319310","mag":"2794192994"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc.2018.8319310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc.2018.8319310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th IEEE Annual Consumer Communications &amp; Networking Conference (CCNC)","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/A5050869327","display_name":"Wafa Elmannai","orcid":"https://orcid.org/0000-0002-9276-7799"},"institutions":[{"id":"https://openalex.org/I154300980","display_name":"University of Bridgeport","ror":"https://ror.org/01rf3yp57","country_code":"US","type":"education","lineage":["https://openalex.org/I154300980"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wafa M. Elmannai","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, USA","institution_ids":["https://openalex.org/I154300980"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070765307","display_name":"Khaled Elleithy","orcid":"https://orcid.org/0000-0001-9239-5035"},"institutions":[{"id":"https://openalex.org/I154300980","display_name":"University of Bridgeport","ror":"https://ror.org/01rf3yp57","country_code":"US","type":"education","lineage":["https://openalex.org/I154300980"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khaled M. Elleithy","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, USA","institution_ids":["https://openalex.org/I154300980"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050869327"],"corresponding_institution_ids":["https://openalex.org/I154300980"],"apc_list":null,"apc_paid":null,"fwci":0.7407,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.68091464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9990000128746033,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computer-science","display_name":"Computer science","score":0.7558244466781616},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.7320165634155273},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.7153429985046387},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.6880268454551697},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6030569076538086},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.602185845375061},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5920568108558655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5335436463356018},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.5202978253364563},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4496038556098938},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.19941729307174683},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.11804541945457458}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558244466781616},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.7320165634155273},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.7153429985046387},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.6880268454551697},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6030569076538086},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.602185845375061},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5920568108558655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5335436463356018},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.5202978253364563},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4496038556098938},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.19941729307174683},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.11804541945457458},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc.2018.8319310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc.2018.8319310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th IEEE Annual Consumer Communications &amp; Networking Conference (CCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1544154338","https://openalex.org/W1565092865","https://openalex.org/W1569297792","https://openalex.org/W1781239457","https://openalex.org/W2001821765","https://openalex.org/W2010166165","https://openalex.org/W2020602155","https://openalex.org/W2022249630","https://openalex.org/W2026131180","https://openalex.org/W2078990298","https://openalex.org/W2098157454","https://openalex.org/W2117228865","https://openalex.org/W2176760663","https://openalex.org/W2318964089","https://openalex.org/W2541074189","https://openalex.org/W2594255081","https://openalex.org/W2678735704","https://openalex.org/W2926007783","https://openalex.org/W4235591324","https://openalex.org/W6740280444"],"related_works":["https://openalex.org/W2930076404","https://openalex.org/W4253519380","https://openalex.org/W2071957557","https://openalex.org/W2596413128","https://openalex.org/W4391249562","https://openalex.org/W2356867392","https://openalex.org/W2782776446","https://openalex.org/W3043170174","https://openalex.org/W2155948905","https://openalex.org/W2357323510"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,30,44],"intelligent":[4],"framework":[5],"that":[6,65,171],"includes":[7],"several":[8],"types":[9],"of":[10,32,54,74,127,138,178,188],"sensors":[11],"embedded":[12],"in":[13,40,121,135],"a":[14,36,61,71,81],"wearable":[15],"device":[16,144,158],"to":[17,42,112,116],"support":[18],"the":[19,55,88,106,118,132,143,147,173,189],"visually":[20],"impaired":[21],"(VI)":[22],"community.":[23],"The":[24,50,125],"proposed":[25,56,129],"work":[26],"is":[27,58,145],"based":[28,59,86],"on":[29,60,87],"integration":[31],"sensor-based":[33],"techniques":[34],"and":[35,46,70,91,168,175,181],"computer":[37],"vision-based":[38],"technology":[39],"order":[41],"introduce":[43,80],"efficient":[45],"economical":[47],"visual":[48],"device.":[49],"98%":[51],"accuracy":[52],"rate":[53],"sequence":[57],"wide":[62],"detection":[63,72],"view":[64],"used":[66],"two":[67],"camera":[68],"modules":[69],"range":[73],"approximate":[75],"9meteres.":[76],"In":[77,95],"addition,":[78],"we":[79,109],"novel":[82],"obstacle":[83],"avoidance":[84],"approach":[85,130],"image":[89],"depth":[90],"fuzzy":[92,107],"control":[93],"rules.":[94],"this":[96,128,156],"approach,":[97],"each":[98],"frame":[99],"divided":[100],"into":[101],"three":[102],"areas.":[103],"By":[104],"using":[105],"logic,":[108],"were":[110],"able":[111],"provide":[113],"precise":[114],"information":[115],"help":[117],"VI":[119,133,148,179],"user":[120,149],"avoiding":[122,136],"front":[123],"obstacles.":[124],"strength":[126],"aids":[131],"users":[134],"100%":[137],"all":[139],"identified":[140],"objects.":[141],"Once":[142],"initialized,":[146],"can":[150,159],"confidently":[151],"enter":[152],"unfamiliar":[153],"surroundings.":[154],"Therefore,":[155],"implemented":[157],"be":[160],"described":[161],"as":[162],"following:":[163],"accurate,":[164],"reliable,":[165],"friendly,":[166],"light,":[167],"economically":[169],"accessible":[170],"facilitates":[172],"indoor":[174],"outdoor":[176],"mobility":[177],"people":[180],"does":[182],"not":[183],"require":[184],"any":[185],"previous":[186],"knowledge":[187],"surrounding":[190],"environment.":[191]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
