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3D point clouds, a new primitive representation for objects, are spreading among thousands of people through internet software. Thus, the privacy preserving problem of the 3D point cloud should be widely concerned by more and more people. To ensure the safe transmission and use of point cloud, two schemes of encryption have been proposed by using chaotic cat mapping in this paper. The two encryption...
Vigilance analysis associated with safe driving based on EEG has drawn considerable attention of researchers in recent years. Preventing traffic accidents caused by low level vigilance is highly desirable. This paper presents a novel vigilance analysis system by evaluating electroencephalographic (EEG) changes. EEG signals are preprocessed with independent component analysis to eliminate noise from...
A novel feature selection methodology based on Bhattacharyya distance and confidence map is presented and illustrated with electroencephalogram (EEG) signal classification problem. Although Common spatial pattern (CSP) is a mostly used algorithm for classification of EEG in brain-computer interface (BCI), which has poor frequency selectivity. To address this problem, a constant-bandwidth Butterworth...
For the characters of EEG signal due to motor imagery, six motor imagery tasks are planned and the methods of common spatial pattern (CSP) feature extraction and probabilistic neural network (PNN) classification of EEG signal are studied. And an online control system for upper limb prosthesis based on motor imagery EEG is realized, which consists of the brain computer interface (BCI) unit, the motion...
In this paper, two three-dimensional attitude sensors that one is fixed on person's shoulder and another is fixed on person's head are adopted to detect the head's attitudes relative to prosthesis's basis coordinate system. By means of a laser ranging sensor, the distance between the sensor and a random object is measured. Make use of the above-mentioned parameters, via a series coordinate transformation,...
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