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Virtual reality (VR) technology allows users to communicate or interact with a virtual artifact in an immersive simulated environment. Most of the existing virtual reality platform uses standard input devices such as a keyboard and mouse, or through multimodal devices such as a wired glove. In this paper, a novel electroencephalo-graph (EEG) based virtual driving (EEG-VD) prototype is proposed, investigated,...
In this paper, a novel electroencephalographic (EEG) based mind controlled virtual-human obstacle-avoidance platform (EEG-MC-VHOAP) is designed to improve brain computer interface (BCI) systems and offer a new game. With the EEG-MC-VHOAP, subjects can use their brain signals to control a virtual human to have a training of avoiding obstacles in a three dimensional (3D) environment. The EEG-MC-VHOAP...
An improved faster region-based convolutional neural network (R-CNN) [same object retrieval (SOR) faster R-CNN] is proposed to retrieve the same object in different scenes with few training samples. By concatenating the feature maps of shallow and deep convolutional layers, the ability of Regions of Interest (RoI) pooling to extract more detailed features is improved. In the training process, a pretrained...
The design work is important to normal employment and safety and stabilization of a project in geotechnical engineering. The system researched in geotechnical engineering is altitudinal complex and indeterminate, so traditional design methods are difficult to deal with an actual project ideally. According to the characteristics of inverse design method in geotechnical engineering, the problems on...
After analyzing flexibility material processing (such as quilting processing) influencing factor of pattern deformation, the edges of the original image and the deformation image are extracted. Then they are changed into coordinate. On top of it, the data are put into the Elman neural networks to train which has been built and the original image is used to as the teacher signal to tutoring. At last,...
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