Hand gesture recognition is a vital task as its application ranges from human-machine interface to sign language recognition. This paper present the empirical results of static hand gesture detection based on well known technique used for shape detection using Fourier Descriptors (FDs). Fourier descriptors are important features for the classification of two-dimensional connected shapes. Furthe...

In this paper we present a system that performs automatic gesture recognition. The system consists of two main components: (i) A unified technique for segmentation and tracking of face and hands using a skin detection algorithm along with handling occlusion between skin objects to keep track of the status of the occluded parts. This is realized by combining 3 useful features, namely, color, mot...

Integration of different modalities aims to increase the robustness of system and improves its performance in an unconstrained environment. With this motivation, the proposed research is focused on integrating two modalities such as hand gesture and posture in a unified framework where the criterion is measured by employing Particle Filter system. The proposed framework has two main modules: 1)...

Hand gesture recognition system is considered as a way for more intuitive and proficient human computer interaction tool. The range of applications includes virtual prototyping, sign language analysis and medical training. In this paper, an efficient Indian Sign Language Recognition System (ISLR) is proposed for deaf and dump people using hand gesture images. The proposed ISLR system is conside...

Computer applications have been spread ubiquitous due to its essential important that facilitate our daily life, gesture system is one of the most appealing applications that dependents mainly on exploiting the right features that can embody the entire gesture and give the correct meaning of that gesture. For constructing gesture recognition system a serial steps should be considered that are: ...

The use of hand gesture provides an attractive alternative to cumbersome interface devices for human-computer interactio n(HCI). Many methods for hand gesture recognition using visual analysis have been proposed such as syntactical analysis, neural network(NN), Hidden Markov Model(HMM) and so on. In our research, a HMM is proposed for alphabetical hand gesture recognition. In the preprocessing ...

Sign Language is a language which uses visually transmitted sign patterns to convey meaning by simultaneously combining hand shapes, orientation and movement of the hands to fluently express one's thoughts / communicate with others and is commonly used by the physically impaired people who cannot speak or hear. Automatic Sign Language system requires fast and accurate techniques for identifying...

Despite considerable enhances in recognizing hand gestures from still images, there are still many challenges in the classification of hand gestures in videos. The latter comes with more challenges, including higher computational complexity and arduous task of representing temporal features. Hand movement dynamics, represented by temporal features, have to be extracted by analyzing the total fr...

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...