Joel Eaton

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Two distinct populations of fluorogenic amine-containing cells were observed in the lungs of nine-week old mice: one with an intense yellow emission, which possibly indicates the presence of serotonin; and one emitting a yellow-green fluorescence, which probably indicates the presence of a catecholamine such as dopamine or norepinephrine. Simultaneous(More)
We present a significant extension to our work in the field of Brain-Computer Music Interfacing (BCMI) through providing brainwave control over a musical score in real time. This new approach combines measuring Electroencephalogram (EEG) data elicited via generating Steady State Visual Evoked Potentials (SSVEP), with mappings that allow a user to influence(More)
The Space Between Us is a performance piece for vocals, piano and live electronics using a Brain-Computer Music Interface system currently in development. The brainwaves of one performer and one audience member are measured throughout the performance and the system generates a real-time score mapped to emotional features associated with the brain signals.(More)
This paper presents a proof-of-concept pilot study investigating whether 2-dimensional arousal-valence correlates determined from electroencephalogram (EEG) readings can be used to select music based on the affective state of a user. Self-reported emotional states are used to evaluate a system for estimating arousal and valance from EEG by means of music(More)
The Space Between Us: Evaluating a multi-user affective brain-computer music interface Joel Eaton, Duncan Williams & Eduardo Miranda To cite this article: Joel Eaton, Duncan Williams & Eduardo Miranda (2015) The Space Between Us: Evaluating a multi-user affective brain-computer music interface, Brain-Computer Interfaces, 2:2-3, 103-116, DOI:(More)
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(More)
Dynamic soundtrack creation presents various practical and aesthetic challenges to composers working with games. This paper presents an implementation of a system addressing some of these challenges with an affectively-driven music generation algorithm based on a second order Markov-model. The system can respond in real-time to emotional trajectories(More)
This paper discusses data reduction for an echelle spectrograph we have developed for an automatic telescope at Tennessee State University and are using to monitor radial velocities and line profiles of cool giant and supergiant stars. Although our approach to data reduction is rather conventional, we discuss flatfielding and extraction of velocities in(More)
We have derived new orbits for Aur, 32 Cyg, and 31 Cyg with observations from the Tennessee State University (TSU) Automatic Spectroscopic Telescope, and used them to identify nonorbital velocities of the cool supergiant components of these systems. We measure periods in those deviations, identify unexpected long-period changes in the radial velocities, and(More)
The Space Between Us is a performance piece for vocals, piano and live electronics using a Brain-Computer Music Interface system currently in development. The brainwaves of one performer and one audience member are measured throughout the performance and the system generates a real-time score mapped to emotional features associated with the brain signals.(More)