DBSCAN for Hand Tracking and Gesture Recognition

Hand Tracking and Hand Gesture Recognition for Human Computer Interaction

Hand tracking and hand gesture recognition is an important problem in the field of human-computer interaction. A number of solutions have been proposed in the current literature, but the problem is still far from being solved since the hand exhibits significant amounts of articulation and self-occlusion that cause difficulties with existing algorithms. To further exasperate these problems, inte...

Real Time Hand Tracking and Gesture Recognition

Real Time Hand Gesture Recognition Including Hand Segmentation and Tracking

In this paper we present a system that performs automatic gesture recognition. The system consists of two main components: (i) A unified technique for segmentation and tracking of face and hands using a skin detection algorithm along with handling occlusion between skin objects to keep track of the status of the occluded parts. This is realized by combining 3 useful features, namely, color, mot...

Color and Illumination Independent Hand Tracking and Gesture Recognition

Recognition of human motion provides hints to understand human activities and gives opportunities to the development of a new human-computer interaction (HCI) interface. Hidden Markov Models (HMMs) are used for visual recognition of complex, structured hand gestures such as the ones found in a sign language, since they have proved their success in recognizing speech and handwriting. In this pap...

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...