Normal hand gesture recognition methods using surface Electromyography (sEMG) signals require designers to use digital signal processing hardware or ensemble methods as tools to solve real time hand gesture classification. Some methods could also result in complicated computational models, complex circuit connection and lower online recognition rate. It is therefore imperative to have good meth...

At present, hand tracking based on particle filter obtains current 3D hand gesture mainly by two elements, that is, by current frame of gesture images and by status information of the previous 3D hand gesture. Compared with current algorithms, the proposed algorithm focuses on behavior analysis and process modeling. Focusing on mathematical linkages establishment between microstructure model an...

The goal of static hand gesture recognition is to classify the given hand gesture data represented by some features into some prede ned nite number of gesture classes. The main objective of this e ort is to explore the utility of two feature extraction methods, namely, hand contour and complex moments to solve the hand gesture recognition problem by identifying the primary advantages and disadv...

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...

Considering the continued drive of human needs besides constant improvement technology, it is convenient to develop techniques that enhance communication between computers and humans in most intuitive ways as possible. The possibility automatically recognize gestures using artificial vision among other kind sensorsallows explore a whole range interaction applications control interact with envir...

Hand Gesture recognition and Human Computer Interaction is an open research problem as the main purpose behind gesture recognition research is to identify a particular human gesture by computer. Hand gesture recognition based man-machine interface is being currently developed and researched upon both by industry and academia. In this paper, we develop a technique for recognizing the gestures ma...

Hand gesture recognition has gradually become a hot topic in Human-Computer Interaction (HCI) in recent years. It is a technology that can mimic how our human beings communicate with each other to interact between human and computers in natural and intuitive ways. Computer recognition of hand gestures is widely used in many applications, such as entertainment system, medical systems, crisis man...

Hand gesture recognition becomes a popular topic of deep learning and provides many application fields for bridging the human–computer barrier has positive impact on our daily life. The primary idea project is static acquisition from depth camera to process input images train convolutional neural network pre-trained ImageNet dataset. Proposed system consists capture device (Intel® RealSense™ D4...