Hand Postures

This page gives an example of using the kinematic segmentations to find important postures of the arm during everyday activities. Clustering performed on the hand positions at the detected transitions between action segments (local minima in hand speed), results in clusters that correspond with significant positions of the hand during everyday activity. The following images show three important hand positions discovered by the system that correspond well with the hand being at rest by the wearer's side, the hand reaching out into the world, and the hand carrying something. The top of each of the three images shows the four discovered hand states as spheres, with the red sphere being the state classification for that particular example. The middle and bottom of the images show a typical captured image and kinematic posture for that hand state.

a signficant hand posture discovered by the system a signficant hand posture discovered by the system a signficant hand posture discovered by the system