In this paper, we present a hand posture recognition system (configuration and position) we designed as part of a gestural man-machine interface. After a simple image preprocessing, the parameter space (corresponding to the configuration and spatial position of the user’s hand) is directly explored using a population of points evolved via an Evolution Strategy. Giving the priority to exploring ...

A hand posture recognition system using 3D data is described. The system relies on a novel 3D sensor that generates a dense range image of the scene. The main advantage of the proposed system, compared to other gesture recognition techniques, is the capability for robust unconstrained recognition of complex hand postures such as those encountered in sign language alphabets. This is achieved by ...

In mobile applications, it is crucial to provide intuitive means for 2D and 3D interaction. A large number of techniques exist to support a natural user interface (NUI) by detecting the user’s hand posture in RGB+D (depth) data. Depending on the given interaction scenario and its environmental properties, each technique has its advantages and disadvantages regarding accuracy and the robustness ...

Recognising fingerwriting in mid-air is a useful input tool for wearable egocentric camera. In this paper we propose a novel framework to this purpose. Specifically, our method first detects a writing hand posture and locates the position of index fingertip in each frame. From the trajectory of the fingertip, the written character is localised and recognised simultaneously. To achieve this chal...

In this paper, a novel algorithm is proposed for fingertip detection and finger type recognition. The algorithm is applied for locating fingertips in hand region extracted by Bayesian rule based skin color segmentation. Morphological operations are performed in the segmented hand region by observing key geometric features. A probabilistic modeling of the geometric features of finger movement ha...

The automatic interpretation of human gestures can be used for a natural interaction with computers while getting rid of mechanical devices such as keyboards and mice. In order to achieve this objective, the recognition of hand postures has been studied for many years. However, most of the literature in this area has considered 2D images which cannot provide a full description of the hand gestu...

We have developed a static hand-gesture recognition system for the Human Computer Interaction based on shape analysis. This appearance-based recognition uses modified Fourier descriptors for the classification of hand shapes. Usually systems use two phases: training and running phase under the recognition. A new method is shown that under the running phase of the system users can interactive mo...

This paper presents the contimioiis wor/( on a previous project on vision-based hand interaction design. The original worJ< developed a vision-based approach of bare-hand-based posture recognition and motion tracking. This paper further investigates its application in virtual assembly. The accuracy and robustness of the developed approach enable product engineers to perform assembly operations ...

This survey presents a summary of the difficult field of static hand gesture recognition, that primarily consists of the popularity of well-defined signs supported a posture of the hand. Since human beings tend to differ in terms of size and shape the foremost difficult drawback consists of the segmentation and also the correct classification of the information’s gathered from the input image, ...