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The hand and eye coordination of the surgeon is one of the most important factor minimally invasive thoracic surgery. Virtual Simulation is a powerful training tool in surgery. At present, the main problems of the learning process are to reduce the learning time and to improve specific skills by the simulation. There are different options to perform tests: working with animals, with artificial tissues...
Novel advanced game techniques provide us with new possibilities to mimic a complicated training process, with the benefit of safety enhancement. In this paper, we design and implement a 3D game which imitates the lifeboat launching process. Lifeboat launching is such a complex but vital process which can on one side saving people's life on sea and on the other side associating many potential hazards...
The paper describes recent results from using a simulation game for training project managers. The uniqueness of this study is that it focuses on the real world problem of “playing out” the execution phase of a project, rather than the planning phase. Moreover, it better introduces the study of project management areas to students. The study is using a simulation that provides the “players” with the...
In this paper, the current developments for Virtual Reality (VR) simulation in the Nursing Education sector is investigated with the design and implementation of a 'serious game' that utilizes the increased immersive user experience of Head-Mounted Display (HMD) headset in a task orientated simulation. A hospital ward was recreated and populated with Virtual Patients (VPs) suffering from Dementia...
Cross-scene crowd counting is a challenging task where no laborious data annotation is required for counting people in new target surveillance crowd scenes unseen in the training set. The performance of most existing crowd counting methods drops significantly when they are applied to an unseen scene. To address this problem, we propose a Full Convolutional Neutral Network(FCN) for person detection,...
Wearable Augmented Reality (W-AR) is based on getting a computer as intimate as possible with the wearers' bodies and senses. We need to understand the cognitive and perceptual mechanisms leveraged by this technology and use them for designing AR applications. In this study we explored the potential benefit of W-AR to guide a procedural task of assembling a LEGO™ compared to traditional paper instructions...
The aim of this study was to investigate whether augmented cues that have previously been shown to enhance performance and user satisfaction in VR training translate into performance improvements in real environments. Subjects were randomly allocated into 3 groups. Group 1 were trained to perform a real tyre change, group 2 were trained in a conventional VR setting, while group 3 were trained in VR...
In an emergency, people are upset and do not behave as they do during evacuation drills. An agent-based system enables an evacuation simulation to consider these human behaviors, including their mental and social status. Simulation results that consider the human factor appear to be a good tool for creating and improving prevention plans. In this paper, we point out new features for simulating evacuation...
In this paper, we propose a novel non-invasive framework for the early diagnosis of prostate cancer from diffusion-weighted magnetic resonance imaging (DW-MRI). The proposed approach consists of three main steps. In the first step, the prostate is localized and segmented based on a new level-set model. In the second step, the apparent diffusion coefficient (ADC) of the segmented prostate volume is...
We present a novel statistical shape model and fitting process for the 3D Constrained Local Models (CLM), exploiting the properties of Independent Component Analysis (ICA), instead of the classic use of Principal Component Analysis (PCA), and adopting a non-Gaussian distribution of the shape prior information. Using ICA permits to exploit the real distribution of shape priors by adopting a Generalised...
CNN has shown excellent performance on object recognition based on huge amount of real images. For training with synthetic data rendered from 3D models alone to reduce the workload of collecting real images, we propose a concatenated self-restraint learning structure lead by a triplet and softmax jointed loss function for object recognition. Locally connected auto encoder trained from rendered images...
Computer aided diagnosis (CAD) is an important issue, which can significantly improve the efficiency of doctors. In this paper, we propose a deep convolutional neural network (CNN) based method for thorax disease diagnosis. We firstly align the images by matching the interest points between the images, and then enlarge the dataset by using Gaussian scale space theory. After that we use the enlarged...
HIV-1 integrase (IN) has become an important target for antiviral drug discovery. While AIDS drug treatment often fails due to the emergence of drug resistant species. Elvitegravir (EVG) is one of the FDA-approved drugs. We developed a neural network prediction model to make a qualitative EVG resistance phenotype prediction. First, we developed a genotype-phenotype database. Secondly, we classified...
Virtual catheter training system is a typical application of Virtual reality(VR) technology in the medical field. Doctors must operate catheters through experience accurately in traditional minimally invasive surgery(MIS) to ensure the safety of the operation. In order to improve the operation skills we proposed the force feedback-based robotic catheter training system. In this paper, we can obtain...
Visualization of experimental data and results of numerical simulations belongs to most basic skills that need to be mastered by students at undergraduate, graduate and postgraduate levels. When faced with many visualization techniques and available tools, deep understanding of the fundamental concepts, such as visualization pipeline, is the necessary foundation for using data visualization effectively...
Critical situations are situations where a complementarity between technical and non-technical skills is crucial. Several critical dimensions characterize them. In order to train for such situations, simulation systems have to be able to generate scenarios where these dimensions are present in order to solicit one or several non-technical skills. In this paper we focus on one particular critical dimension...
The simulation of NC lathe used for practical training operation of professional students like numerical control and machine of China's vocational education, training practical CNC lathe operation and CNC programming professional and technical personnel quickly and efficiently for machinery manufacturing industry. After continues research and improvement in recent years, GSK980 - I, GSK980 - II, GSK980...
This paper describes a Virtual Reality training system, devoted to electrical tests in distribution substations. The system has impacted the traditional training method, which is based on classroom classes and camp training, by augmenting the availability of specialized knowledge and enabling student to train and learn about electrical tests.
This paper describes a Virtual Reality simulator to perform dentist training in tasks such as the access to the pulp chamber and the preparation of root canal. The simulator consists of a haptic device adapted to simulate the instruments used in dental procedures, a virtual environment simulating the interactions between the haptic device and the tooth being treated and a visualization tool of the...
Cardiac auscultation is a cost-effective medical procedure used to examine the heart and obtain information regarding the hearts rate, rhythm, location timing, intensity, quality, and shape. Relying on visual, audio and haptic cues, it is a difficult skill to master and with the availability of various new diagnostic techniques, the emphasis on cardiac auscultation is decreasing in both education...
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