Gesture recognition is key to enabling natural human-computer interactions. Existing approaches based on wireless sensing focus accurate identification of arm gesture types. It remains a challenge recognize and profile the details gestures for precise interaction control. In addition, current have strict positioning requirements between radars users, making them difficult real-world deployment....

This paper presents a novel technique for hand gesture recognition through human–computer interaction based on shape analysis. The main objective of this effort is to explore the utility of a neural network-based approach to the recognition of the hand gestures. A unique multi-layer perception of neural network is built for classification by using backpropagation learning algorithm. The goal of...

This paper describes the Gesture Watch, a gesture based interface for the remote control of devices. By subscribing to this interface, any device can become gesture-smart and thus will not need a separate physical interface with the user. The Gesture Watch is designed to be embedded inside the wristwatch of user, allowing it to be unobtrusive. It takes advantage of the developments in infra-red...

The hand gesture input systems will be adopted for use in many applications anytime and anywhere. In this research, a stating notification when and where a user can start using hand gestures for input are focused. However existing devices and systems could be used only in certain situations because of safety issues and the limitations of the devices. In this paper, a Wireless Nail Gesture Syste...

Gesture-based applications widely range from replacing the traditional mouse as a position device to virtual reality and communication with the deaf. In this paper, we present a fuzzy rule-based approach to spatio-temporal hand gesture recognition. This approach employs a powerful method based on hyperrectangular composite neural networks (HRCNNs) for selecting templates. Templates for each han...

It has been hypothesized that speech and gesture work together, with people relying more on gesture when speaking is hard, and relying more on speech when gesturing is hard. Indeed, previous work showed that when speaking is hard, gesture production can reduce cognitive load and thereby help the speech process. However, it is yet unknown what happens in speech and gesture production when gestur...

Adding gesture to spoken instructions makes those instructions more effective. The question we ask here is why. A group of 49 third and fourth grade children were given instruction in mathematical equivalence with gesture or without it. Children given instruction that included a correct problem-solving strategy in gesture were significantly more likely to produce that strategy in their own gest...

This paper describes the design and implementation of the hand gesture recognizer system for controlling the hardware appliance in real time. FPGA based implementation proposed for hand tracking system includes the image preprocessing state and feature extraction state that consists of bounding box and Center-Of-Mass based computation. Through the features extraction state, the object’s Center-...