{"id":"https://openalex.org/W4228999887","doi":"https://doi.org/10.1109/percomworkshops53856.2022.9767213","title":"Deploying an Instance Segmentation Algorithm to Implement Social Distancing for Prosthetic Vision","display_name":"Deploying an Instance Segmentation Algorithm to Implement Social Distancing for Prosthetic Vision","publication_year":2022,"publication_date":"2022-03-21","ids":{"openalex":"https://openalex.org/W4228999887","doi":"https://doi.org/10.1109/percomworkshops53856.2022.9767213"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops53856.2022.9767213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops53856.2022.9767213","pdf_url":null,"source":{"id":"https://openalex.org/S4363608020","display_name":"2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/295478","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017942431","display_name":"Daniela De Luca","orcid":"https://orcid.org/0000-0002-9623-0438"},"institutions":[{"id":"https://openalex.org/I162290304","display_name":"Scuola Superiore Sant'Anna","ror":"https://ror.org/025602r80","country_code":"IT","type":"education","lineage":["https://openalex.org/I162290304"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniela De Luca","raw_affiliation_strings":["Scuola Superiore Sant'Anna,The BioRobotics Institute,Pisa,Italy","The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scuola Superiore Sant'Anna,The BioRobotics Institute,Pisa,Italy","institution_ids":["https://openalex.org/I162290304"]},{"raw_affiliation_string":"The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy","institution_ids":["https://openalex.org/I162290304"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083638676","display_name":"Sara Moccia","orcid":"https://orcid.org/0000-0002-4494-8907"},"institutions":[{"id":"https://openalex.org/I162290304","display_name":"Scuola Superiore Sant'Anna","ror":"https://ror.org/025602r80","country_code":"IT","type":"education","lineage":["https://openalex.org/I162290304"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sara Moccia","raw_affiliation_strings":["Scuola Superiore Sant'Anna,The BioRobotics Institute,Pisa,Italy","The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scuola Superiore Sant'Anna,The BioRobotics Institute,Pisa,Italy","institution_ids":["https://openalex.org/I162290304"]},{"raw_affiliation_string":"The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy","institution_ids":["https://openalex.org/I162290304"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080060929","display_name":"Silvestro Micera","orcid":"https://orcid.org/0000-0003-4396-8217"},"institutions":[{"id":"https://openalex.org/I162290304","display_name":"Scuola Superiore Sant'Anna","ror":"https://ror.org/025602r80","country_code":"IT","type":"education","lineage":["https://openalex.org/I162290304"]},{"id":"https://openalex.org/I4210148691","display_name":"Fondation Bertarelli","ror":"https://ror.org/04h7fev25","country_code":"CH","type":"nonprofit","lineage":["https://openalex.org/I4210148691"]},{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH","IT"],"is_corresponding":false,"raw_author_name":"Silvestro Micera","raw_affiliation_strings":["Scuola Superiore Sant'Anna,The BioRobotics Institute,Pisa,Italy","The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy","Bertarelli Foundation Chair, EPFL, Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scuola Superiore Sant'Anna,The BioRobotics Institute,Pisa,Italy","institution_ids":["https://openalex.org/I162290304"]},{"raw_affiliation_string":"The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy","institution_ids":["https://openalex.org/I162290304"]},{"raw_affiliation_string":"Bertarelli Foundation Chair, EPFL, Geneva, Switzerland","institution_ids":["https://openalex.org/I4210148691","https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"735","last_page":"740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9977999925613403,"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":0.9977999925613403,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9962000250816345,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/computer-science","display_name":"Computer science","score":0.7289584279060364},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6488342881202698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6423240303993225},{"id":"https://openalex.org/keywords/social-distance","display_name":"Social distance","score":0.6226204633712769},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6048407554626465},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.590074896812439},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4695863127708435},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.41596466302871704},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.1818869411945343}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7289584279060364},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6488342881202698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6423240303993225},{"id":"https://openalex.org/C172656115","wikidata":"https://www.wikidata.org/wiki/Q2142613","display_name":"Social distance","level":5,"score":0.6226204633712769},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6048407554626465},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.590074896812439},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4695863127708435},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.41596466302871704},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.1818869411945343},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/percomworkshops53856.2022.9767213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops53856.2022.9767213","pdf_url":null,"source":{"id":"https://openalex.org/S4363608020","display_name":"2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:295478","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/295478","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WoS","raw_type":"conference proceedings"},{"id":"pmh:oai:www.iris.sssup.it:11382/547491","is_oa":false,"landing_page_url":"http://hdl.handle.net/11382/547491","pdf_url":null,"source":{"id":"https://openalex.org/S4377196376","display_name":"CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I162290304","host_organization_name":"Scuola Superiore Sant'Anna","host_organization_lineage":["https://openalex.org/I162290304"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:295478","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/295478","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WoS","raw_type":"conference proceedings"},"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1523436584","https://openalex.org/W1528777653","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W2004866132","https://openalex.org/W2041713173","https://openalex.org/W2073700113","https://openalex.org/W2171333826","https://openalex.org/W2301060981","https://openalex.org/W2767602077","https://openalex.org/W2768577426","https://openalex.org/W2791016185","https://openalex.org/W2802271675","https://openalex.org/W2899743734","https://openalex.org/W2940647249","https://openalex.org/W2957414648","https://openalex.org/W2963150697","https://openalex.org/W2969880795","https://openalex.org/W3024046433","https://openalex.org/W3035152443","https://openalex.org/W3086727860","https://openalex.org/W3164516083","https://openalex.org/W3186939089","https://openalex.org/W4293875156","https://openalex.org/W6620707391","https://openalex.org/W6639102338","https://openalex.org/W6639824700","https://openalex.org/W6746337356","https://openalex.org/W6777256897","https://openalex.org/W6778737654"],"related_works":["https://openalex.org/W2517104666","https://openalex.org/W2283162247","https://openalex.org/W2005437358","https://openalex.org/W4212983513","https://openalex.org/W1669643531","https://openalex.org/W2524507886","https://openalex.org/W2314488738","https://openalex.org/W2052518016","https://openalex.org/W2771653066","https://openalex.org/W2144853761"],"abstract_inverted_index":{"The":[0,62],"COVID-19":[1],"pandemic":[2],"outbreak":[3],"is":[4,23,33],"causing":[5],"a":[6,44,113,119],"dramatic":[7],"worsening":[8],"in":[9,51,103,126],"the":[10,24,82,86,123],"already":[11],"complicated":[12],"living":[13],"conditions":[14],"of":[15,57,85],"blind":[16,37],"and":[17,49,54,74,95,100,105],"visually":[18,124],"impaired":[19,125],"individuals.":[20],"Social":[21],"distancing":[22],"most":[25],"effective":[26,102],"strategy":[27],"to":[28,39,47,78,121],"limit":[29],"virus":[30],"spread,":[31],"but":[32],"extremely":[34],"difficult":[35],"for":[36,117],"people":[38,53],"actuate.":[40],"Here":[41],"we":[42],"propose":[43],"deep-learning":[45],"algorithm":[46],"recognize":[48],"locate":[50],"space":[52],"other":[55],"categories":[56],"objects":[58],"from":[59],"RGB-D":[60,96],"images.":[61],"algorithm,":[63],"based":[64],"on":[65,71],"Mask":[66],"R-CNN,":[67],"performs":[68],"semantic":[69],"segmentation":[70],"RGB":[72],"images":[73],"uses":[75],"depth":[76],"maps":[77],"extract":[79],"information":[80],"about":[81],"relative":[83],"distance":[84],"instances.":[87,107],"It":[88],"was":[89],"evaluated":[90],"using":[91],"Salient":[92],"Person":[93],"dataset":[94],"Scenes":[97],"Dataset":[98],"v.2,":[99],"proved":[101],"segmenting":[104],"locating":[106],"This":[108],"preliminary":[109],"work":[110],"could":[111],"be":[112],"valuable":[114],"starting":[115],"point":[116],"developing":[118],"technology":[120],"assist":[122],"implementing":[127],"social":[128],"distancing.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}