The hand is an important part of the body used to express information through gestures, and its movements can be used in dynamic gesture recognition systems based on computer vision with practical applications, such as medical, games and sign language. Although depth sensors have led to great progress in gesture recognition, hand gesture recognition still is an open problem because of its compl...

Human centered human-computer interaction technology tends to replace the traditional computer centered technology with its growing applicability to a wide variety of applications. Acting as a way of most natural communication between human and machine, vision based hand gesture recognition is becoming the pursuit of human-computer interaction. General vision based hand gesture recognition gene...

In this paper, we present an efficient and reliable deep-learning approach that allows users to communicate with robots via hand gesture recognition. Contrary other works which use external devices such as gloves [1] or joysticks [2] tele-operate robots, the proposed uses only visual information recognize user's instructions are encoded in a set of pre-defined gestures. Particularly, method con...

Hand gesture recognition for human computer interaction is an area of active research in computer vision and machine learning. The primary goal of gesture recognition research, is to create a system, which can identify specific gestures and use them to convey information or for device control. For that, gestures need to be modelled in the spatial and temporal domains, where a hand posture is th...