AIVR

Head-mounted display (HMD) based cognitive training enables a number of unique visual features, including 3D depth and immersive visuals. We examine the impact of these features by measuring task performance and EEG power with a cognitive task that has ...

Large amphibious aircraft is the core of forest fire fighting task. Using virtual reality technology to train the crew of amphibious aircraft can improve the realism and the effect of aircrew training [2]. In this paper, we demonstrate a visual model of ...

The use of virtual reality technologies for data visualization and analysis has been an emerging topic of research in the past years. However, one type of data has been left neglected, the point cloud. While some strides have been made in the ...

In a web-based Augmented Reality (AR) application, to achieve an immersive experience we require precise object detection, realistic model rendering, smooth occlusion, and accurate augmentation in real-time. To achieve these objectives on a device ...

In the field of aviation emergency rescue, in view of the large-scale transport deployment and dispatching demands, the study on rescue deployment, command and dispatching of existing aviation emergency power is carried out. Based on it, through ...

With the development of digital society, more and more museums have digitalized their artifacts with details and put together highlights for visitors to view the selected representations of the virtual collections. It becomes very crucial to evaluate ...

Extended realities, along with other enabling technologies, can improve the way we perform professional and entertaining activities. This paper describes the possibilities created by future applications in the field of sports. These possibilities emerge ...

In the study, our group choose a set of quality of red wine as data set. To get a more accurate result, we turn the quality into binary classification. And we try to build models to predict the quality of red wine based on machine learning algorithms, ...

The failure of machines at oil and gas platforms that will temporarily stop oil production commonly happens. The failure may refer to the machine that has stopped working, is not working properly, or does not meet target expectations. In this research, ...

This paper studies the design and implementation of an immersive FPS game based on Unity with the theme of flying over Luding Bridge. Combining virtual reality technology and the historical event of flying over Luding Bridge, in this thesis, we ...

As virtual reality (VR) headsets with head-mounted displays (HMD) have attracted more and more attention, new research questions have emerged. In virtual reality games, virtual reality movies or virtual reality simulations, maintaining a high degree of ...

The interactive experience of virtual scenes is a computer-generated virtual scene. This virtual scene allows users to temporarily detach from reality, immerse themselves in it and interact with the objects in the scene. This is conducive to mobilizing ...

Human activity recognition has been a very active topic in pervasive computing for several years for its important applications in assisted living, healthcare, and security surveillance. Many researchers are finding and representing the details of human ...

"The Belt and Road Initiative " (B&R) is the abbreviation of the "Silk Road Economic Belt" and the "twenty-first Century Maritime Silk Road". In September and October of 2013, which is proposed by Chinese President Xi Jinping when he visiting Central ...

Cardiovascular diseases and Coronary Artery Disease (CAD) are the leading causes of mortality among people of different ages and conditions. The use of different and not so invasive biomarkers to detect these types of diseases joined with Machine ...

We investigate whether the well-known poor performance of the head-on usage of the convolutional neural networks for the facial expression recognition task may be improved in terms of reducing the false positive and false negative errors. An uncertainty ...

Digital communication has become the main way of disseminating information in the world. The image data occupies a very important part. In some specific applications, people hope to hide the secret information to be transmitted in the image and spread ...

In this paper, we look at a database of tweets sorted by various keywords that could indicate the users’ sentiment towards covid vaccines. With social media becoming such a prevalent source of opinion, sorting and ranking tweets that hold important ...

This paper examines the performance of a specific Long-Short Term Memory Recurrent Neural Network for cursive handwriting generation when training with small datasets. The RNN can generate complex structure sequences by predicting one data point at a ...

Since the ability of convolution Neural Networks (CNN) on image classification has been discovered by research workers. Many studies revealed using CNN on image classification can make a breakthrough continuously. The CNN can be used for many different ...