This book presents a world-class collection of Brain-Computer Music Interfacing (BCMI) tools. The text focuses on how these tools enable the extraction of meaningful control information from brain signals, and discusses how to design effective generative music techniques that respond to this information. Features: reviews important techniques for hands-free interaction with computers, including event-related potentials with P300 waves; explores questions of semiotic brain-computer interfacing (BCI), and the use of machine learning to dig into relationships among music and emotions; offers tutorials on signal extraction, brain electric fields, passive BCI, and applications for genetic algorithms, along with historical surveys; describes how ...
Brain computer interfaces are being widely adopted for music creation and interpretation, and they a...
We discuss the BCI based on inner tones and inner music. We had some success in the detection of inn...
Abstract. This paper expands upon our previous research in the field of Brain-Computer Music Interfa...
Brain–computer music interfacing (BCMI) is a growing field with a history of experimental applicatio...
Brain-Computer Music Interface (BCMI) is a new research area that is emerging at the cross roads of...
Brain–computer music interfacing (BCMI) is a growing field with a history of experimental applicatio...
cmr.soc.plymouth.ac.uk This paper introduces a brain-computer interface (BCI) system that uses elect...
Research into Brain-Computer Music Interfacing (BCMI) involves three major challenges: the extractio...
With the rise of ever-more affordable EEG equipment available to musicians, artists and researchers,...
Brain-computer interfaces (BCIs) aim to find a communication path with computers that dispenses with...
The objective of our research is to develop Brain-Computer Interfacing (BCI) for musical application...
Abstract: Brain-Computer Interfacing (BCI) offers a range of control options that can be harnessed...
Commercial non-invasive BCI (Brain Computer Interface) devices are currently applied in several rese...
This paper is a follow up from the work presented at the ICDVRAT 2006 conference in Esbjerg, where t...
This paper reports on the development of a proof-of-concept brain-computer music interfacing system ...
Brain computer interfaces are being widely adopted for music creation and interpretation, and they a...
We discuss the BCI based on inner tones and inner music. We had some success in the detection of inn...
Abstract. This paper expands upon our previous research in the field of Brain-Computer Music Interfa...
Brain–computer music interfacing (BCMI) is a growing field with a history of experimental applicatio...
Brain-Computer Music Interface (BCMI) is a new research area that is emerging at the cross roads of...
Brain–computer music interfacing (BCMI) is a growing field with a history of experimental applicatio...
cmr.soc.plymouth.ac.uk This paper introduces a brain-computer interface (BCI) system that uses elect...
Research into Brain-Computer Music Interfacing (BCMI) involves three major challenges: the extractio...
With the rise of ever-more affordable EEG equipment available to musicians, artists and researchers,...
Brain-computer interfaces (BCIs) aim to find a communication path with computers that dispenses with...
The objective of our research is to develop Brain-Computer Interfacing (BCI) for musical application...
Abstract: Brain-Computer Interfacing (BCI) offers a range of control options that can be harnessed...
Commercial non-invasive BCI (Brain Computer Interface) devices are currently applied in several rese...
This paper is a follow up from the work presented at the ICDVRAT 2006 conference in Esbjerg, where t...
This paper reports on the development of a proof-of-concept brain-computer music interfacing system ...
Brain computer interfaces are being widely adopted for music creation and interpretation, and they a...
We discuss the BCI based on inner tones and inner music. We had some success in the detection of inn...
Abstract. This paper expands upon our previous research in the field of Brain-Computer Music Interfa...