Classification of Brain Signals in Mindfulness Meditation

Abstract

In this paper we present an fundamental overview of the mindfulness meditation and the different types of classification also Support Vector Machines (SVMs) and K-Nearest Neighbour (KNN). SVMs are supervised learning machines that can be studied theoretically using ideas from computational learning theory while being able to acquire good fulfilment when applied to real-world problems. It contains the comparative study of results of the meditative data using SVM and KNN.