Human computer interaction, or HCI for short, concerning how people interact with computers, has long been an important and popular research field. Traditionally keyboards and mice are the most commonly used devices. In order to have a more flexible interaction, this paper proposes a vision-based interface for human computer interaction based on hand contour tracking. As an articulated hand can...

Hand tracking has great potential as a tool for better human-computer interaction. Areas of application include navigation in virtual environments, gesture recognition and motion capture for film animation. This report presents a new method for 3D hand tracking. It uses a 3D model built from truncated quadrics which approximates the anatomy of a real human hand. This approach allows for the use...

To improve the precision of three-dimensional hand tracking based on the particle filtering, a novel algorithm using Multi-Model fusion to improve the state prediction of particle filtering is put forward. Through analyzing the experimental data of the virtual interactive platform system, combining with the behavior understanding and description of hand, we firstly construct a model for human h...

A novel human hand tracking algorithm using hand occlusion information based on a single-view camera is put forward. Firstly, the moving hand is tracked by the algorithm of edge tracking. Then the hand features of boundary are used to get the maximum inscribed circle of the palm. According to the circle, the hand is divided into two parts: the palm and fingers. Finally, using the proportion of ...

This thesis deals with the problem of estimating and tracking the full articulation of human hands. Algorithmically recovering hand articulations is a challenging problem due to the hand’s high number of degrees of freedom and the complexity of its motions. Besides the accuracy and efficiency of the hand posture estimation, hand tracking methods are faced with issues such as invasiveness, ease ...