In recent years, strides made in the development of BrainComputer Interface (BCI) technology have foreseen a contemporary evolution in the way we create music with Electroencephalography (EEG). The development of new BCI technology has given musicians the freedom to take their work into new domains for music and art making. However, a fundamental challenge for artists using EEG in their work ha...

With stereoscopic displays, a depth sensation that is too strong could impede visual comfort and result in fatigue or pain. Electroencephalography (EEG) is a technology which records brain activity. We used it to develop a novel braincomputer interface that monitors users’ states in order to reduce visual strain. We present the first proof-of-concept system that discriminates comfortable condit...

Neural signal users are people with complete paralysis operating computer-based equipment through direct braincomputer interface technologies. In this paper, we discuss the importance of utilizing affective information in interfaces for these people, to include both applying user affect and displaying machine affect. Such information can be invaluable in low-level input adaptation (e.g., interp...

In this work we aim to evaluate the user experience with a state-of-the-art commercial braincomputer interface (BCI) device, namely the Neurosky Mindwave Mobile. This device is able to measure certain types of brain waves and translate them into quantitative measurements of users’ attention and meditation, using a single, non-invasive electrode. To this goal we build a brain controlled toy car,...

Abstract— The BCI research has now witnessed incredible expansion using invasive and noninvasive methods but especially the use of Electroencephalogram (EEG) signals (method of non-invasive BCI) has attained a lot of significance. The applications of EEG based BCI ranges from medicine to entertainment. In this paper, a general Electro-Encephalogram (EEG) based BCI system is discussed. Thus deve...

With the rise of ever-more affordable EEG equipment available to musicians, artists and researchers, designing and building a Brain-Computer Music Interface (BCMI) system has recently become a realistic achievement. This chapter discusses previous research in the fields of mapping, sonification and musification in the context of designing a BCMI system and will be of particular interest to thos...

Electro-encephalography (EEG) is unique among functional brain imaging methods in that it promises a means of providing a cost-e cient, safe, portable and easy to use braincomputer interface (BCI) for both healthy users and the disabled. While an already extensive corpus of EEG-BCI experimental work has demonstrated that, to a degree, a person's mental states can be detected in single-trials us...

In this paper, we present an extension of the state-of-theart normalized graph cut method based on asymmetry of the affinity matrix. We provide algorithms for classification and clustering problems and show how our method can improve solutions for unequal and overlapped data distributions. The proposed approaches are based on the theoretical relation between classification accuracy, mutual info...

This paper expands upon our previous research in the field of BrainComputer Music Interfacing and reports on tools for performance and composition controlled via brainwave activity in development at ICCMR, University of Plymouth. Our approach measures electroencephalogram (EEG) data elicited via generating Steady State Visual Evoked Potentials (SSVEP) to allow for real-time control of musical p...

In this study we investigated the effect of motivation on performance when using a BrainComputer Interface (BCI) based on sensorimotor rhythms (SMR). After pooling the data acquired with four different SMR-BCI protocols in one sample of N=41 participants, we found a positive correlation between the motivational components ”challenge” and ”incompetence fear” and accuracy in percent correct respo...