With the increase of research activities in vision-based hand posture and gesture recognition, new methods and algorithms are being developed. Although less attention is being paid to developing a standard platform for this purpose. Developing a database of hand gesture images is a necessary first step for standardizing the research on hand gesture recognition. For this purpose, we have develop...

Abstract Hand segmentation is the initial step for hand posture recognition. To reduce effect of variable illumination in step, a new CbCr-I component Gaussian mixture model (GMM) proposed to detect skin region. The region selected as interest from image using detection technique based on presented GMM and adaptive threshold. A shape distribution feature described polar coordinates extract cont...

This paper deals with hand posture recognition. Thanks to an adequate setup, we afford a database of hand photographs. We propose a novel contour signature, obtained by transforming the image content into several signals. The proposed signature is invariant to translation, rotation, and scaling. It can be used for posture classification purposes. We generate this signature out of photographs of...

In the context of immersive communications, we propose a method enabling natural video interactions through hand gesture recognition between users and a video meeting system. The interaction can be performed either by the mean of hand posture recognition or by the dynamic hand gesture recognition according to user’s preference. The statistical approach adopted in our work to recognize hand post...

In early days computers are operated by various interface devices, which are developed by the humans to interact with the computer. Starting from Punch-cards to touch screens man have changed the human life into an unimaginable state, right now we are stepping into an another era of computer technology, where the system makes things easier and simple and more powerful. A novel method of dynamic...

The body is closely tied to the processing of social and emotional information. The purpose of this study was to determine whether a relationship between emotions and social attitudes conveyed through gestures exists. Thus, we tested the effect of pro-social (i.e., happy face) and anti-social (i.e., angry face) emotional primes on the ability to detect socially relevant hand postures (i.e., pic...

Several machine learning algorithms have been applied to the problem of static hand posture recognition. K-nearesr neighbor (KNN) performs very well in flexible posture recognition, but speed and memory requirements of the algorithm make it difficult to use in real time applications. In this paper we propose an approach to speed up the KNN without changing its behavior. We use the mixture of ga...