Hand gesture mouse control for systems has received a lot of attention in recent years Because its many uses and capability to efficiently connect with machines via human- computer interaction, hand attracted years. Most visual motion detection can only be used specific settings due the effects lighting complicated backgrounds. Together quick advancement vision machine learning, need interactio...

In this demo we present intAIRact, an online hand-based touchless interaction system. Interactions are based on easy-to-learn hand gestures, that combined with translations and rotations render a user friendly and highly configurable system. The main advantage with respect to existing approaches is that we are able to robustly locate and identify fingertips. Hence, we are able to employ a simpl...

This work concerns a system based on EMG sensors, signal conditioning circuitry, classification algorithm based on Artificial Neural Network, and virtual avatar representation, useful to identify hand movements within a set of five. This is to potentially make any trans-radial upper-limb amputee able to drive a virtual or real limb prosthetic hand. We focused on differences resulting with the a...

Orientation sensing is considered an important means to implement embedded technology enhanced artifacts (often referred to as ‘smart artifacts’), exhibiting embodied means of interaction based on their position, orientation, and the respective dynamics. Considering artifacts subject to manual (or ‘by-hand’) manipulation by the user, we identify hand worn, hand carried and (hand) graspable real...

In this paper, we present our research on left hand gesture acquisition and analysis in guitar performances. The main goal of our research is the study of expressiveness. Here, we focus on a detection model for the left hand fingering based on gesture information. We use a capacitive sensor to capture fingering positions and we look for a prototypical description of the most common fingering po...