CT scan correlates of gesture recognition.

Gesture Recognition Using the Linear Combination of Membership Degrees of Observations

Human Computer Interaction Using Vision-Based Hand Gesture Recognition

With the rapid emergence of 3D applications and virtual environments in computer systems; the need for a new type of interaction device arises. This is because the traditional devices such as mouse, keyboard, and joystick become inefficient and cumbersome within these virtual environments. In other words, evolution of user interfaces shapes the change in the Human-Computer Interaction (HCI). In...

Towards the creation of a Gesture Library

The evolution of technology has risen new possibilities in the so called Natural User Interfaces research area. Among distinct initiatives, several researchers are working with the existing sensors towards improving the support to gesture languages. This article tackles the recognition of gestures, using the Kinect sensor, in order to create a gesture library and support the gesture recognition...

Recognizing Everyday Human Movements through Human Anatomy Based Coupled Hidden Markov Models

Gesture recognition has been an active research area for several decades. Pose-driven Hidden Markov Models (HMMs), in which each state corresponds to a single pose, have been the most popular technique for gesture recognition. While this approach gives reasonably good results for small sets of gestures, the human body has many of degrees of freedom, allowing it to assume an essentially unlimite...

Human Computer Interaction Using Vision-Based Hand Gesture Recognition

With the rapid emergence of 3D applications and virtual environments in computer systems; the need for a new type of interaction device arises. This is because the traditional devices such as mouse, keyboard, and joystick become inefficient and cumbersome within these virtual environments. In other words, evolution of user interfaces shapes the change in the Human-Computer Interaction (HCI). In...