{"id":"https://openalex.org/W6944714923","doi":"https://doi.org/10.21227/wsds-eb38","title":"Edge Extraction: Gestures Alphabet of Colombian Signs.","display_name":"Edge Extraction: Gestures Alphabet of Colombian Signs.","publication_year":2024,"publication_date":"2024-04-17","ids":{"openalex":"https://openalex.org/W6944714923","doi":"https://doi.org/10.21227/wsds-eb38"},"language":"en","primary_location":{"id":"doi:10.21227/wsds-eb38","is_oa":true,"landing_page_url":"https://doi.org/10.21227/wsds-eb38","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/wsds-eb38","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Clavijo, Camila","orcid":null},"institutions":[{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Clavijo, Camila","raw_affiliation_strings":["Instituto Polit\u00e9cnico Nacional"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Polit\u00e9cnico Nacional","institution_ids":["https://openalex.org/I59361560"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hern\u00e1ndez Bele\u00f1o, Rub\u00e9n Dar\u00edo","orcid":null},"institutions":[{"id":"https://openalex.org/I41047195","display_name":"Military University Nueva Granada","ror":"https://ror.org/05n0gsn30","country_code":"CO","type":"education","lineage":["https://openalex.org/I41047195"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Hern\u00e1ndez Bele\u00f1o, Rub\u00e9n Dar\u00edo","raw_affiliation_strings":["Universidad Militar Nueva Granada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Militar Nueva Granada","institution_ids":["https://openalex.org/I41047195"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ni\u00f1o-Su\u00e1rez, Paola Andrea","orcid":null},"institutions":[{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Ni\u00f1o-Su\u00e1rez, Paola Andrea","raw_affiliation_strings":["Instituto Polit\u00e9cnico Nacional"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Polit\u00e9cnico Nacional","institution_ids":["https://openalex.org/I59361560"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6736000180244446},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5522000193595886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5065000057220459},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42089998722076416},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.40139999985694885},{"id":"https://openalex.org/keywords/alphabet","display_name":"Alphabet","score":0.384799987077713},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.38440001010894775},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.382099986076355},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.37619999051094055}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6736000180244446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6729999780654907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6514000296592712},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5552999973297119},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5522000193595886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5065000057220459},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42089998722076416},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.40139999985694885},{"id":"https://openalex.org/C112876837","wikidata":"https://www.wikidata.org/wiki/Q837518","display_name":"Alphabet","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.38440001010894775},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.382099986076355},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.37619999051094055},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.3695000112056732},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3695000112056732},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.36149999499320984},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3257000148296356},{"id":"https://openalex.org/C2776299755","wikidata":"https://www.wikidata.org/wiki/Q432449","display_name":"Carry (investment)","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C36372059","wikidata":"https://www.wikidata.org/wiki/Q376492","display_name":"HSL and HSV","level":3,"score":0.30309998989105225},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/wsds-eb38","is_oa":true,"landing_page_url":"https://doi.org/10.21227/wsds-eb38","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.21227/wsds-eb38","is_oa":true,"landing_page_url":"https://doi.org/10.21227/wsds-eb38","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8816952109336853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"database":[1,189],"presented":[2],"consists":[3],"of":[4,7,9,24,93,143,151,163,199],"a":[5,86,91,124,128],"set":[6],"images":[8,99],"the":[10,21,28,32,58,61,71,118,141,146,149,161],"human":[11],"hand":[12],"making":[13],"signs":[14,25,36],"(20)":[15],"at":[16],"various":[17],"angles,":[18],"corresponding":[19],"to":[20,49,97,116,121,145],"Colombian":[22],"alphabet":[23],"established":[26],"by":[27,39,56],"National":[29],"Institute":[30],"for":[31,136,171,203],"Deaf":[33],"(INSOR).":[34],"These":[35],"are":[37],"characterized":[38],"being":[40,164],"static,":[41],"that":[42,206],"is,":[43],"they":[44],"do":[45],"not":[46],"require":[47],"movement":[48],"be":[50],"performed. Signal":[51],"processing":[52],"is":[53,80,90,134,190],"carried":[54],"out":[55,123],"normalizing":[57],"data":[59],"using":[60,70,85],"HSV":[62],"(Hue":[63],"-":[64,66,196],"Saturation":[65],"Brightness)":[67],"color":[68],"space,":[69],"\"rgb2hsv\"":[72],"command":[73],"in":[74,82,148,166],"Matlab.":[75],"In":[76],"addition,":[77],"noise":[78],"removal":[79],"performed":[81],"each":[83,198,204,207],"image":[84],"Gaussian":[87],"filter,":[88],"which":[89,200],"type":[92],"convolution":[94],"used":[95,165],"mainly":[96],"smooth":[98],"and":[100,105,111,127,138,154,174,185],"remove":[101],"noise,":[102],"including":[103],"black":[104],"white":[106],"dots":[107],"known":[108],"as":[109],"\"salt":[110],"pepper\".":[112],"This":[113,188],"process":[114],"aims":[115],"obtain":[117],"necessary":[119],"characteristics":[120],"carry":[122],"thresholding":[125],"step":[126],"final":[129],"edge":[130],"extraction":[131],"step. This":[132],"dataset":[133],"available":[135],"use":[137],"analysis,":[139],"with":[140,160],"aim":[142],"contributing":[144],"advancement":[147],"field":[150],"gesture":[152,205],"recognition":[153,173],"classification.":[155,175],"It":[156],"has":[157,180,201],"been":[158,181],"created":[159],"purpose":[162],"multiple":[167],"artificial":[168],"intelligence":[169],"applications":[170],"pattern":[172],"For":[176],"this":[177],"reason,":[178],"it":[179],"divided":[182,191],"into":[183,192],"test":[184],"training":[186],"datasets.":[187],"two":[193],"sub-folders":[194],"(Training":[195],"Testing),":[197],"folders":[202],"letter":[208],"represents.   ":[209]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}