Neural network gesture recognition
Gesture Input using Neural Networks
Abstract: This project explores the uses of neural networks to recognise manual postures (static hand positions) and gestures (dynamic hand positions). The postures and gestures are recorded using a hand-gesture input device, the Mattel Power Glove. Two experiments were performed---one to recognise postures, and the other to recognise gestures. The posture experiments were designed to determine what topology of neural network aided recognition, what affect the inclusion or not of wrist rotation had on...
Gesture Recognition using Neural Networks
Abstract: Gesture interaction is a versatile, intuitive way of interacting with computers, especially suited for virtual environments and applications where many degrees of freedom are important. Human gestures have many meanings and uses, and are often different from person to person, while gesture input devices often introduce artifacts; this makes recognizing and interpreting gestures nontrivial. Gestures can be divided into postures, where the configuration of the hand is static, and true gestures
Recognition and anticipation of hand motions using a recurrent neural network
Abstract: Previous work in recognition of hand gestures has concentrated on classification of hand shapes, with relatively little work done on hand motions. This paper describes a recurrent neural network which has been trained to classify sixteen different hand trajectories, including relatively complex paths such as circles and backand -forth motions. The network's ability to anticipate the classification of an incomplete gesture is also examined, and its implications for segmentation of gestures is
Dynamic Gesture Recognition Using Neural Networks; A Fundament for Advanced Interaction Construction
Abstract:
Interaction in Virtual Reality environments is still a challenging task. Static hand posture recognition is currently the most common and widely used method for interaction using glove input devices. In order to improve the naturalness of interaction, and thereby decrease the user--interface learning time, there is a need to be able to recognize dynamic gestures. Dynamic Gesture Recognition (DGR) is difficult for various reasons. The large variations in the speed of execution of various phases...
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