Conventional motion tutorials rely mainly on a predefined motion and vision-based feedback that normally limits the application scenario and requires professional devices. In this paper, we propose VoLearn, a cross-modal system that provides operability ...

Numerous studies have established that using various forms of augmented feedback improves human motor learning. In this paper, we present a system that enables real-time analysis of motion patterns and provides users with objective information on their ...

We explore whether a gender-matched, calibrated self-avatar affects the perception of the affordance of stepping off of a ledge, or visual cliff, in an immersive virtual environment. Visual cliffs form demonstrations in many immersive virtual ...