The ever-increasing number of computing devices around us results in more and more
systems competing for our attention, making cognitive workload a crucial factor for the user …

We present Brain Automated Chorales (BACh), an adaptive brain-computer system that
dynamically increases the levels of difficulty in a musical learning task based on pianists' …

Exponential increases of available computational resources, miniaturization, and sensors,
are enabling the development of digital musical instruments that use non-conventional …

We engineered DigituSync, a passive-exoskeleton that physically links two hands together,
enabling two users to adaptively transmit finger movements in real-time. It uses multiple four …

Feedback is valuable for allowing us to improve on tasks. While retrospective feedback can
help us improve for next time, feedback 'in action'can allow us to improve the outcome of on …

Virtual musicians have become a remarkable phenomenon in the contemporary multimedia
arts. However, most of the virtual musicians nowadays have not been endowed with abilities …

Due to movement automatization, the engagement of high-order cognitive processing during
the motor execution of a task is expected to decrease over repetitions and practice. In this …

Brain-computer interfaces (BCI) are an emerging technology with many potential
applications. Functional near-infrared spectroscopy (fNIRS) can provide a convenient and …

Artists have been using BCIs for artistic expression since the 1960s. Their interest and
creativity is now increasing because of the availability of affordable BCI devices and …

In this paper, we present the classification of electroencephalograph (EEG) signals
produced by the first-octave musical notes of the piano as stimuli. The EEG classification of …