In this article, we present a hand-tracking system based on magnetic positioning. A single node is mounted each fingertip and two nodes the back side of hand. fixed array receiving coils used to detect field, from which it possible infer position orientation node. kinematic model whole hand has been developed. Starting positioning data node, can be calculate flexion angle finger joint, plus in ...

In the study of dynamic gesture recognition, gesture tracking must be performed reliably in real-time for sufficiently long periods when there is too much background interference. To deal with these problems effectively, an improved particle filter algorithm is proposed in order to track the moving hand quickly and accurately. Firstly, the algorithm improves the traditional hand model and prese...

Research in vision-based 3D hand tracking targets primarily the scenario in which a bare hand performs unconstrained motion in front of a camera system. Nevertheless, in several important application domains, augmenting the hand with color information so as to facilitate the tracking process constitutes an acceptable alternative. With this observation in mind, in this work we propose a modifica...

This paper describes a Functionally-Distributed (FD) hand tracking method for hand-gesture-based wearable visual interfaces. The method is an extension of the Distributed Monte Carlo (DMC) tracking method which we have developed. The method provides coarse but rapid hand tracking results with the lowest possible number of samples on the wearable side, and can reduce latency which causes a decli...

In this paper, we motivate ongoing work into developing methods for the automated tracking of small hand movements in interview situations to aid nonverbal behaviour analysis in the detection of deception. Existing techniques for detecting and tracking hand motion are reviewed to place current and future technical work into context. We present a modification to the popular colour predicate appr...

Within this paper a technique for model-based 3D hand tracking is presented. A hand model is built from a set of truncated quadrics, approximating the anatomy of a real hand with few parameters. Given that the projection of a quadric onto the image plane is a conic, the contours can be generated efficiently. These model contours are used as shape templates to evaluate possible matches in the cu...

This paper presents a gravity optimised particle filter (GOPF) where the magnitude of the gravitational force for every particle is proportional to its weight. GOPF attracts nearby particles and replicates new particles as if moving the particles towards the peak of the likelihood distribution, improving the sampling efficiency. GOPF is incorporated into a technique for hand features tracking. ...

Optical motion capture can be classified as an inference problem: given the data produced by a set of cameras, the aim is to extract the hidden state, which in this case encodes the posture of the subject’s body. Problems with motion capture arise due to the multi-modal nature of the likelihood distribution, the extremely large dimensionality of its state-space, and the narrow region of support...

In vision based hand tracking systems color plays an important role for detection. Skin color detection is widely used in different interactive applications, e.g. face and hand tracking, detecting people in video databases. This paper implements an effective hand tracking technique which is based on color detection. In this techniques based on the color distribution the segmentation of hand fro...

This report should be regarded as an appendix to our paper 9]. It provides technical details on the hand tracking system described there, and on the vision-based drawing package developed to demonstrate its use in applications. 1 The hand tracker This section describes the implementation of a robust and accurate hand tracker using ICon-densation 5] and partitioned sampling 9].