{"id":"https://openalex.org/W7078083383","doi":"https://doi.org/10.21227/1rzt-2q74","title":"\"Electromyography (EMG) Spectrograms Database for Hand Gesture Classification\"","display_name":"\"Electromyography (EMG) Spectrograms Database for Hand Gesture Classification\"","publication_year":2025,"publication_date":"2025-08-27","ids":{"openalex":"https://openalex.org/W7078083383","doi":"https://doi.org/10.21227/1rzt-2q74"},"language":"en","primary_location":{"id":"doi:10.21227/1rzt-2q74","is_oa":true,"landing_page_url":"https://doi.org/10.21227/1rzt-2q74","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/10.21227/1rzt-2q74","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Daniel  Delgado","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel  Delgado","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Camila Clavijo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Camila Clavijo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Paola Andrea Ni\u00f1o-Su\u00e1rez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paola Andrea Ni\u00f1o-Su\u00e1rez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Ruben Dario Hernandez Bele\u00f1o","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruben Dario Hernandez Bele\u00f1o","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6399999856948853,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6399999856948853,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13067","display_name":"Geological Modeling and Analysis","score":0.02759999968111515,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14311","display_name":"Electrical and Electromagnetic Research","score":0.02250000089406967,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.9203000068664551},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5195000171661377},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.4993000030517578},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.39980000257492065},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35899999737739563},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.3361000120639801},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.3352000117301941},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3292999863624573}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.9203000068664551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7069000005722046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.554099977016449},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5221999883651733},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5195000171661377},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.4993000030517578},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.45829999446868896},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.39980000257492065},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35899999737739563},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.3361000120639801},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.3352000117301941},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3257000148296356},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.2766999900341034},{"id":"https://openalex.org/C160174412","wikidata":"https://www.wikidata.org/wiki/Q873806","display_name":"Thumbnail","level":3,"score":0.2687999904155731},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.2662000060081482},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/1rzt-2q74","is_oa":true,"landing_page_url":"https://doi.org/10.21227/1rzt-2q74","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:10.21227/1rzt-2q74","is_oa":true,"landing_page_url":"https://doi.org/10.21227/1rzt-2q74","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":[{"display_name":"Gender equality","score":0.7330349683761597,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"\"This":[0],"dataset":[1,95,106],"presents":[2],"a":[3,25,39],"collection":[4],"of":[5,36,97],"electromyography":[6],"(EMG)":[7],"spectrograms":[8,99],"derived":[9],"from":[10],"three":[11,102],"hand":[12,116],"gestures:":[13],"open":[14],"hand,":[15,17],"closed":[16],"and":[18,63,79,88,128],"pinch.":[19],"The":[20,50,93],"signals":[21,53],"were":[22,54,83],"acquired":[23],"using":[24,68,85],"BITalino":[26],"device":[27],"with":[28],"two":[29],"surface":[30],"electrodes":[31],"placed":[32],"on":[33],"the":[34,69],"forearm":[35],"workers":[37],"in":[38,46,60,66,115],"Colombian":[40],"private":[41],"company,":[42],"primarily":[43,109],"women":[44],"engaged":[45],"repetitive":[47],"assembly":[48],"tasks.":[49],"raw":[51],"EMG":[52],"collected":[55],"via":[56],"OpenSignals":[57],"software,":[58],"stored":[59],".h5":[61],"format,":[62],"subsequently":[64],"processed":[65],"Python":[67],"biosignalsnotebooks":[70],"library. Preprocessing":[71],"steps":[72],"included":[73],"band-pass":[74],"filtering":[75],"(25\\u2013300":[76],"Hz),":[77],"rectification,":[78],"envelope":[80],"extraction.":[81],"Spectrograms":[82],"generated":[84],"Hanning":[86],"windows":[87],"converted":[89],"into":[90],".jpg":[91],"images.":[92],"final":[94],"consists":[96],"408":[98],"distributed":[100],"across":[101],"gesture":[103,117],"classes.":[104],"This":[105],"is":[107],"intended":[108],"for":[110],"Convolutional":[111],"Neural":[112],"Networks":[113],"(CNNs)":[114],"classification":[118],"tasks":[119],"but":[120],"can":[121],"be":[122],"extended":[123],"to":[124],"prosthesis":[125],"control,":[126],"rehabilitation,":[127],"other":[129],"biomedical":[130],"applications. \"":[131]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}