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Despite the efforts that have been made, there is a communication barrier between deaf and hard of hearing signers and non-signers in environments without an interpreter. Different approaches have been developed lately to try to deal with this issue. In this work, we present an Argentinian Sign Language (LSA) recognition system which uses hand landmarks extracted from videos of the LSA64 dataset in order to distinguish between different signs. Different features are extracted from the signals created with the hand landmarks values, which are first transformed by the Common Spatial Patterns (CSP) algorithm. CSP is a dimensionality reduction algorithm and it has been widely used for EEG systems. The features extracted from the transformed signals have been then used to feed different classifiers, such as Random Forest (RF), K-Nearest Neighbors (KNN) or Multilayer Perceptron (MLP). Several experiments have been performed from which promising results have been obtained, achieving accuracy values between 0.90 and 0.95 on a set of 42 signs.<\/jats:p>","DOI":"10.1371\/journal.pone.0276941","type":"journal-article","created":{"date-parts":[[2022,10,31]],"date-time":"2022-10-31T17:38:09Z","timestamp":1667237889000},"page":"e0276941","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":8,"title":["Sign language recognition by means of common spatial patterns: An analysis"],"prefix":"10.1371","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8471-9765","authenticated-orcid":true,"given":"Itsaso","family":"Rodr\u00edguez-Moreno","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9 Mar\u00eda","family":"Mart\u00ednez-Otzeta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Izaro","family":"Goienetxea","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Basilio","family":"Sierra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2022,10,31]]},"reference":[{"key":"pone.0276941.ref001","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.3389\/fpsyg.2018.01433","article-title":"Iconicity in signed and spoken vocabulary: a comparison between American Sign Language, British Sign Language, English, and Spanish","volume":"9","author":"M Perlman","year":"2018","journal-title":"Frontiers in psychology"},{"key":"pone.0276941.ref002","volume-title":"The signs of language","author":"ES Klima","year":"1979"},{"key":"pone.0276941.ref003","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1353\/sls.2003.0026","article-title":"How the alphabet came to be used in a sign language","author":"CA Padden","year":"2003","journal-title":"Sign Language Studies"},{"key":"pone.0276941.ref004","unstructured":"Lugaresi C, Tang J, Nash H, McClanahan C, Uboweja E, Hays M, et al. 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