{"id":"https://openalex.org/W2735431455","doi":"https://doi.org/10.1109/ijcnn.2017.7966130","title":"Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks","display_name":"Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2735431455","doi":"https://doi.org/10.1109/ijcnn.2017.7966130","mag":"2735431455"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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/A5101813552","display_name":"Juarez Monteiro","orcid":"https://orcid.org/0000-0002-8831-5343"},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Juarez Monteiro","raw_affiliation_strings":["Faculdade de Inform\u00e1tica, Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul, Porto Alegre, RS, Brazil"],"affiliations":[{"raw_affiliation_string":"Faculdade de Inform\u00e1tica, Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul, Porto Alegre, RS, Brazil","institution_ids":["https://openalex.org/I45643870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047528362","display_name":"Jo\u00e3o Paulo Aires","orcid":"https://orcid.org/0000-0001-6947-5766"},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Joao Paulo Aires","raw_affiliation_strings":["Faculdade de Inform\u00e1tica, Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul, Porto Alegre, RS, Brazil"],"affiliations":[{"raw_affiliation_string":"Faculdade de Inform\u00e1tica, Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul, Porto Alegre, RS, Brazil","institution_ids":["https://openalex.org/I45643870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066324951","display_name":"Roger Granada","orcid":"https://orcid.org/0000-0001-5908-9247"},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Roger Granada","raw_affiliation_strings":["Faculdade de Inform\u00e1tica, Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul, Porto Alegre, RS, Brazil"],"affiliations":[{"raw_affiliation_string":"Faculdade de Inform\u00e1tica, Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul, Porto Alegre, RS, Brazil","institution_ids":["https://openalex.org/I45643870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039629929","display_name":"Rodrigo C. Barros","orcid":"https://orcid.org/0000-0002-0782-9482"},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rodrigo C. Barros","raw_affiliation_strings":["Faculdade de Inform\u00e1tica, Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul, Porto Alegre, RS, Brazil"],"affiliations":[{"raw_affiliation_string":"Faculdade de Inform\u00e1tica, Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul, Porto Alegre, RS, Brazil","institution_ids":["https://openalex.org/I45643870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073632183","display_name":"Felipe Meneguzzi","orcid":"https://orcid.org/0000-0003-3549-6168"},"institutions":[{"id":"https://openalex.org/I45643870","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul","ror":"https://ror.org/025vmq686","country_code":"BR","type":"education","lineage":["https://openalex.org/I45643870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Felipe Meneguzzi","raw_affiliation_strings":["Faculdade de Inform\u00e1tica, Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul, Porto Alegre, RS, Brazil"],"affiliations":[{"raw_affiliation_string":"Faculdade de Inform\u00e1tica, Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul, Porto Alegre, RS, Brazil","institution_ids":["https://openalex.org/I45643870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101813552"],"corresponding_institution_ids":["https://openalex.org/I45643870"],"apc_list":null,"apc_paid":null,"fwci":1.1099,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.86412464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2267","last_page":"2274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.863091230392456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7936720252037048},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7603721618652344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.613516092300415},{"id":"https://openalex.org/keywords/visually-impaired","display_name":"Visually impaired","score":0.5687839984893799},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5101633071899414},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4728845953941345},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.46642786264419556},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4138960540294647},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38657212257385254},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38408565521240234},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08437910676002502}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.863091230392456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7936720252037048},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7603721618652344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.613516092300415},{"id":"https://openalex.org/C3020106864","wikidata":"https://www.wikidata.org/wiki/Q737460","display_name":"Visually impaired","level":2,"score":0.5687839984893799},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5101633071899414},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4728845953941345},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.46642786264419556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4138960540294647},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38657212257385254},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38408565521240234},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08437910676002502},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1533861849","https://openalex.org/W1584238570","https://openalex.org/W1686810756","https://openalex.org/W1940585053","https://openalex.org/W1968663654","https://openalex.org/W1983364832","https://openalex.org/W2016053056","https://openalex.org/W2020163092","https://openalex.org/W2031688197","https://openalex.org/W2064675550","https://openalex.org/W2069271734","https://openalex.org/W2081490348","https://openalex.org/W2097117768","https://openalex.org/W2101234009","https://openalex.org/W2105101328","https://openalex.org/W2106996050","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2154579312","https://openalex.org/W2155893237","https://openalex.org/W2156303437","https://openalex.org/W2157791002","https://openalex.org/W2163352848","https://openalex.org/W2163605009","https://openalex.org/W2167626157","https://openalex.org/W2212494831","https://openalex.org/W2308045930","https://openalex.org/W2514664799","https://openalex.org/W2533739470","https://openalex.org/W2919115771","https://openalex.org/W2964222622","https://openalex.org/W3004533406","https://openalex.org/W6631943919","https://openalex.org/W6675354045","https://openalex.org/W6682751323","https://openalex.org/W6682864246","https://openalex.org/W6682953061","https://openalex.org/W6684191040","https://openalex.org/W6688426012"],"related_works":["https://openalex.org/W4205667428","https://openalex.org/W4323567756","https://openalex.org/W1989937509","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Activity":[0],"recognition":[1,32,37,49],"applications":[2],"is":[3,14],"growing":[4],"in":[5,114],"importance":[6],"due":[7],"to":[8,51,77,82,94],"two":[9],"key":[10],"factors:":[11],"first":[12],"there":[13],"increased":[15,25],"need":[16],"for":[17,111],"more":[18,39],"human":[19,98],"assistance":[20],"and":[21,23,29,91],"surveillance;":[22],"second,":[24],"availability":[26],"of":[27,38,66,72,74],"datasets":[28],"improved":[30],"image":[31],"algorithms":[33],"have":[34],"allowed":[35],"effective":[36],"sophisticated":[40],"activities.":[41],"In":[42],"this":[43],"paper":[44],"we":[45],"develop":[46],"an":[47],"activity":[48,117],"approach":[50,62],"support":[52],"visually":[53,96],"impaired":[54,97],"people":[55],"that":[56,103],"leverages":[57],"these":[58],"advances.":[59],"Specifically,":[60],"our":[61,104],"uses":[63],"a":[64,75,79,95],"dataset":[65],"videos":[67],"taken":[68],"from":[69],"the":[70,84,89,108,115],"point":[71],"view":[73],"guide-dog":[76],"train":[78],"convolutional":[80],"neural-network":[81],"recognize":[83],"activities":[85,113],"taking":[86],"place":[87],"around":[88],"camera":[90],"provide":[92],"feedback":[93],"user.":[99],"Our":[100],"experiments":[101],"show":[102],"trained":[105],"models":[106],"surpass":[107],"current":[109],"state-of-the-art":[110],"identifying":[112],"doc-centric":[116],"dataset.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
