Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Framework for Enhancing Classification in BrainComputer Interface Subject The topic of the resource Adaboost; Braincomputer interface (BCI); Channel selection using recursive feature elimination; Common spatial pattern (CSP) Description An account of the resource Over the past twenty years, the various merits of braincomputer interface (BCI) have garnered much recognition in the industry and scientific institutes. An increase in the quality of life is the key benefit of BCI utilization. The majority of the published works are associated with the examination and assessment of classification algorithms due to the ever-increasing interest in electroencephalography-based (EEG) BCIs. Yet, another objective is to offer guidelines that aid the reader in picking the best-suited classification algorithm for a given BCI experiment. For a given BCI system, selecting the best-suited classifier essentially requires an understanding of the features to be utilized, their properties, and their practical uses. As a feature extraction method, the common spatial pattern (CSP) will project multichannel EEG signals into a subspace to highlight the variations between the classes and minimize the similarities. This work has evaluated the efficacy of various classification algorithms like Naive Bayes, k-nearest neighbor classifier, classification and regression tree (CART), and AdaBoost for the BCI framework. Furthermore, the work has offered the proposal for channel selection with recursive feature elimination. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Subramanian S.C.; Daniel D. Source A related resource from which the described resource is derived Lecture Notes on Data Engineering and Communications Technologies, Vol-111, pp. 651-665. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-9113-3_48" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9113-3_48</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133548497&amp;doi=10.1007%2F978-981-16-9113-3_48&amp;partnerID=40&amp;md5=fcf4573cf21ba1d0600ef70a5a74cd61" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133548497&amp;doi=10.1007%2f978-981-16-9113-3_48&amp;partnerID=40&amp;md5=fcf4573cf21ba1d0600ef70a5a74cd61</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23674512 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Subramanian S.C., Department of Computer Science and Engineering, Christ (Deemed To Be University), Bengaluru, India, Department of Computer Science and Engineering, Sri Venkateswara College of Engineering, Tamil Nadu, Sriperumbudur, India; Daniel D., Department of Computer Science and Engineering, Christ (Deemed To Be University), Bengaluru, India