Significance: Optical neuroimaging has become a well-established clinical and research
tool to monitor cortical activations in the human brain. It is notable that outcomes of …

The motivation behind using physiological measures to estimate cognitive activity is typically
to build technology that can help people to understand themselves and their work, or indeed …

As automobile manufacturers have begun to design, engineer, and test autonomous driving
systems of the future, brain imaging with functional near-infrared spectroscopy (fNIRS) can …

We present a novel approach to measuring similarity between shapes and exploit it for
object recognition. In our framework, the measurement of similarity is preceded by (1) …

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' …

Dynamic difficulty adjustments can be used in human-computer systems in order to improve
user engagement and performance. In this paper, we use functional near-infrared …

Abstract As Digital Manufacturing transforms traditionally physical work into more system-
monitoring tasks, new methods are required for understanding people's mental workload …

Abstract Recently research into Brain-Computer Interfacing (BCI) applications for healthy
users, such as games, has been initiated. But why would a healthy person use a still …

We show how brain sensing can lend insight to the evaluation of visual interfaces and
establish a role for fNIRS in visualization. Research suggests that the evaluation of visual …

We investigate the utility of functional near-infrared spectroscopy (fNIRS) for workload-based
adaptive automation through the lens of multiple resource theory. We focus on the criteria of …