{"id":"https://openalex.org/W2984207581","doi":"https://doi.org/10.1109/access.2019.2951614","title":"Toward Encoding Vision-to-Touch With Convolutional Neural Networks","display_name":"Toward Encoding Vision-to-Touch With Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2984207581","doi":"https://doi.org/10.1109/access.2019.2951614","mag":"2984207581"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2951614","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2951614","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08891737.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08891737.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088683126","display_name":"Ricardo Ribani","orcid":"https://orcid.org/0000-0002-9579-1663"},"institutions":[{"id":"https://openalex.org/I18167132","display_name":"Universidade Presbiteriana Mackenzie","ror":"https://ror.org/006nc8n95","country_code":"BR","type":"education","lineage":["https://openalex.org/I18167132"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Ricardo Ribani","raw_affiliation_strings":["Universidade Presbiteriana Mackenzie, S\u00e3o Paulo, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-9579-1663","affiliations":[{"raw_affiliation_string":"Universidade Presbiteriana Mackenzie, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I18167132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000281304","display_name":"Rodrigo Freitas Lima","orcid":"https://orcid.org/0000-0002-9917-9199"},"institutions":[{"id":"https://openalex.org/I18167132","display_name":"Universidade Presbiteriana Mackenzie","ror":"https://ror.org/006nc8n95","country_code":"BR","type":"education","lineage":["https://openalex.org/I18167132"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rodrigo Freitas Lima","raw_affiliation_strings":["Universidade Presbiteriana Mackenzie, S\u00e3o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Presbiteriana Mackenzie, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I18167132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001535161","display_name":"Maur\u00edcio Marengoni","orcid":"https://orcid.org/0000-0002-6830-1067"},"institutions":[{"id":"https://openalex.org/I18167132","display_name":"Universidade Presbiteriana Mackenzie","ror":"https://ror.org/006nc8n95","country_code":"BR","type":"education","lineage":["https://openalex.org/I18167132"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mauricio Marengoni","raw_affiliation_strings":["Universidade Presbiteriana Mackenzie, S\u00e3o Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Presbiteriana Mackenzie, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I18167132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088683126"],"corresponding_institution_ids":["https://openalex.org/I18167132"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15199907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"161175","last_page":"161183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9998999834060669,"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":0.9998999834060669,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9922999739646912,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9883000254631042,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8271360397338867},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.7548037767410278},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7250707149505615},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.6444309949874878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6312615871429443},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6153826713562012},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5395497679710388},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5126816034317017},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5010509490966797},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4982116222381592},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.42959272861480713},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4141112267971039}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8271360397338867},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7548037767410278},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7250707149505615},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.6444309949874878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6312615871429443},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6153826713562012},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5395497679710388},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5126816034317017},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5010509490966797},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4982116222381592},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.42959272861480713},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4141112267971039},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2951614","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2951614","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08891737.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c5502ac71c2445be9bf04d28ea47126b","is_oa":true,"landing_page_url":"https://doaj.org/article/c5502ac71c2445be9bf04d28ea47126b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 161175-161183 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2951614","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2951614","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08891737.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324200","display_name":"Universidade Presbiteriana Mackenzie","ror":"https://ror.org/006nc8n95"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2984207581.pdf","grobid_xml":"https://content.openalex.org/works/W2984207581.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1488559003","https://openalex.org/W1520653268","https://openalex.org/W1576871820","https://openalex.org/W1625255723","https://openalex.org/W1677409904","https://openalex.org/W1686810756","https://openalex.org/W1825675169","https://openalex.org/W1849277567","https://openalex.org/W1985260248","https://openalex.org/W1996680658","https://openalex.org/W2000355138","https://openalex.org/W2005102501","https://openalex.org/W2012592962","https://openalex.org/W2047917742","https://openalex.org/W2082025208","https://openalex.org/W2083007992","https://openalex.org/W2094993631","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2117228865","https://openalex.org/W2124386111","https://openalex.org/W2131294823","https://openalex.org/W2133797163","https://openalex.org/W2159302708","https://openalex.org/W2194775991","https://openalex.org/W2328317224","https://openalex.org/W2336803177","https://openalex.org/W2407421298","https://openalex.org/W2518970899","https://openalex.org/W2570511835","https://openalex.org/W2804935296","https://openalex.org/W2922244348","https://openalex.org/W2962851944","https://openalex.org/W6634401356","https://openalex.org/W6636494156","https://openalex.org/W6637373629","https://openalex.org/W6638389677","https://openalex.org/W6685133223","https://openalex.org/W6731800714","https://openalex.org/W6752381671"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W4312417841","https://openalex.org/W4210874298","https://openalex.org/W2809406131"],"abstract_inverted_index":{"The":[0],"task":[1],"of":[2,25,32,65,72,90,126,136],"encoding":[3,57],"visual":[4],"information":[5,8],"into":[6,28],"tactile":[7,42,109],"has":[9],"been":[10,54],"studied":[11],"since":[12],"the":[13,23,39,87,91,96,108,124,128,147],"1960s.":[14],"There":[15],"is":[16,142],"still":[17],"an":[18,26,134],"open":[19],"challenge":[20],"in":[21,107],"converting":[22],"data":[24],"image":[27],"a":[29,63,70,81,113,143],"small":[30],"set":[31],"signals":[33,106],"that":[34,51,98],"will":[35],"be":[36],"sent":[37],"to":[38],"user":[40],"as":[41,155],"input.":[43],"In":[44],"this":[45,120],"study,":[46],"we":[47,111,122],"evaluated":[48],"two":[49],"methods":[50],"have":[52,104],"never":[53],"used":[55,150],"for":[56,85],"vision-to-touch":[58],"using":[59,127],"convolutional":[60,66],"neural":[61],"networks,":[62],"bag":[64],"features":[67,102],"(BoF)":[68],"and":[69,130,138],"vector":[71],"locally":[73],"aggregated":[74],"descriptors":[75],"(VLAD).":[76],"We":[77],"also":[78],"present":[79],"here":[80],"very":[82],"new":[83],"method":[84,149],"evaluating":[86],"semantic":[88,114],"property":[89,115],"encoded":[92],"signal":[93],"by":[94,151],"taking":[95],"idea":[97],"objects":[99],"with":[100,157],"similar":[101,105],"must":[103],"interface;":[110],"created":[112],"evaluation":[116],"(SPE)":[117],"metric.":[118],"Using":[119],"metric,":[121],"proved":[123],"advantage":[125],"BoF":[129],"VLAD":[131],"methods,":[132],"obtaining":[133],"SPE":[135],"70.7%":[137],"64.5%,":[139],"respectively,":[140],"which":[141],"considerable":[144],"improvement":[145],"over":[146],"downscaling":[148],"many":[152],"systems":[153],"such":[154],"BrainPort,":[156],"56.2%.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
