A Framework for Enhancing Classification in BrainComputer Interface

Title

A Framework for Enhancing Classification in BrainComputer Interface

Creator

Subramanian S.C.; Daniel D.

Description

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.

Source

Lecture Notes on Data Engineering and Communications Technologies, Vol-111, pp. 651-665.

Date

2022-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Adaboost; Braincomputer interface (BCI); Channel selection using recursive feature elimination; Common spatial pattern (CSP)

Coverage

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

Rights

Restricted Access

Relation

ISSN: 23674512

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1007/978-981-16-9113-3_48

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133548497&doi=10.1007%2f978-981-16-9113-3_48&partnerID=40&md5=fcf4573cf21ba1d0600ef70a5a74cd61