Virtual Laparoscopic Training System Based on VCH Model.

Over the last years, with the rapid development of 3D Web technologies, such as Web3D, HTML5 and WebGL, have allowed complex 3D scenes to be rendered interactively, within a web browser. Compared to the traditional virtual training system, the traing system with WebGL, which requires no explicit installation plug-in and is able to achieve cross-platform easily, is getting more and more popular. This foundation has made it possible to build powerful the virtual acupuncture training system. However, designing and implementing a complete virtual training system using WebGL is not straightforward and complex. In this paper, the author presents a virtual acupuncture training system that using WebGL and Three.js 3D Engine. It can be used to learn acupuncture, and also give ordinary people a reference. Our experiment result shows that WebGL and Three.js 3D Engine can easily support the virtual acupuncture training system, and have a good response. By using this system, the trainers can be more familiar with the acupoint of the human body. At the same time, the trainer will improve his ability in acupuncture therapy. We also hope to provide some references for the development of the virtual training system.

In view of the poor safety of traditional stomatology teaching experiments, large material loss and low teaching efficiency, it is proposed to apply virtual simulation technology to stomatology experiments. By building a digital virtual simulation dentist training system, using virtual simulation technology to help students enter the virtual simulation system environment, so that students can have an immersive, interactive and conceptual experience through this system. The specific method is to select experience courses, module clearance training models, comprehensive training and training plans for comprehensive evaluation of training effects, and conduct skill training for students in different stages of oral clinical practice. After the training is completed, subjective and objective evaluations will be made on the students being trained using the virtual simulation training system. The survey results show that the construction of a digital virtual simulation dentist training system and the development and application of targeted training plans for students at all stages can enhance students' professional interest in dental clinics and operational skills, and provide a safe, efficient and energy-saving approach for dentistry students. Training mode.

BackgroundVirtual reality (VR) technology is an ideal alternative of operation training and surgical teaching. However, virtual surgery is usually carried out using the mouse or data gloves, which affects the authenticity of virtual operation. A virtual surgery system with gesture recognition and real-time image feedback was explored to realize more authentic immersion.MethodGesture recognition technology proposed with an efficient and real-time algorithm and high fidelity was explored. The recognition of hand contour, palm and fingertip was firstly realized by hand data extraction. Then, an Support Vector Machine classifier was utilized to classify and recognize common gestures after extraction of feature recognition. The algorithm of collision detection adopted Axis Aligned Bounding Box binary tree to build hand and scalpel collision models. What’s more, nominal radius theorem (NRT) and separating axis theorem (SAT) were applied for speeding up collision detection. Based on the maxillofacial virtual surgical system we proposed before, the feasibility of integration of the above technologies in this prototype system was evaluated.ResultsTen kinds of signal static gestures were designed to test gesture recognition algorithms. The accuracy of gestures recognition is more than 80%, some of which were over 90%. The generation speed of collision detection model met the software requirements with the method of NRT and SAT. The response time of gesture] recognition was less than 40 ms, namely the speed of hand gesture recognition system was greater than 25 Hz. On the condition of integration of hand gesture recognition, typical virtual surgical procedures including grabbing a scalpel, puncture site selection, virtual puncture operation and incision were carried out with realization of real-time image feedback.ConclusionBased on the previous maxillofacial virtual surgical system that consisted of VR, triangular mesh collision detection and maxillofacial biomechanical model construction, the integration of hand gesture recognition was a feasible method to improve the interactivity and immersion of virtual surgical operation training.

Virtual assisted surgery system in the preoperative planning, teaching, communication between doctors and patients has an important application value. Due to the hardware and computer technology constraints, most of the research on the virtual surgery system based on 3D software model simulation to simulate human tissue. To solve the problem, an assisted system for precise surgery based on medical image computing and VR is designed in this paper. Firstly, this work designed the overall scheme of the system, including function design, hardware design scheme, software design scheme and key technology, starting from the system requirements and feasibility. Secondly, the work studies the key technologies of virtual assistant surgery system, such as the generation of human tissue model and the collision detection. In order to improve the quality of grid generation and remove noise, a tetrahedral mesh generation method based on grid and improved Laplacian smoothing algorithm is adopted in this work. Finally, the modular idea is used, respectively, to start UI and virtual surgery scene construction and interaction, independent units and the overall integration test to ensure that the system is running without errors and fluent, to achieve the original design of virtual assistant surgery system.

For a long time, training work of army equipment maintenance crew mostly goes on real-equipment, which is organized by academies or relevant units later. In some extent, this kind of conventional maintenance ways decrease the efficiency and quality of weapon equipment maintenance. In face of more and more new equipment, it not only increases the difficulty of maintenance training but also brings a new challenge to conventional maintenance ways. Aiming at the lack of maintenance training ways of conventional land-battle equipment, we adopt new technology of virtual reality in recent years to create typical-type amphibious assault vehicle virtual maintenance training system, which provide new means for maintenance crew. This text is tend to analyze interactive desktop virtual maintenance training system, and then for instance, briefly introduce typical-type amphibious assault vehicle.

Personalized virtual reality simulation training system for percutaneous needle insertion and comparison of zSpace and vive

With the development of virtual reality (VR) technology, it is possible to train astronauts using VR. To make the system more efficient, it is necessary to study the quality of experience (QoE) of astronauts in the virtual environment (VE). Based on the characteristics of virtual training system and the needs of astronauts training, a set of metrics consisting of five higher-level metrics and fifteen lower-level metrics were put forward for the QoE evaluating of the system. In addition, the weight of each higher-level metrics is obtained using analytic hierarchy process (AHP) method. The results of this paper can be used directly in the QoE evaluation of astronaut virtual training system in a quantitative way.

As the development of the Virtual Reality (VR) technology, the demands of the virtual training system has been extended from traditional visual requirements to tactile requirements. For this trend, this paper carried out a study on the virtual training system based on force feedback data glove. Firstly, an integrated data glove with functions of spatial positioning, action capture, and force feedback was designed to accomplish the tactile interaction between the user and the system. Then, a data interface adapter and a 3D virtual demonstration scene were developed to process and display the data information of the training operations. Applications of this system show that the system framework is reasonable and feasible, and the training effectiveness is remarkable.

With the development of autonomous driving technology, it is possible self-driving cleaning truck being driving and working automatically. However, a lot of field trials are timeconsuming and wasteful during the investigation of self-driving truck. In order to reduce lots of on-site and real vehicle tests, we construct a 3D virtual pilotless vehicle testing system for the cleaning truck based on virtual reality technology. 3DMax software is used to build virtual 3D scene static model and cleaning truck model. The established static models are imported into Unity3D to simulate different 3D scenes during cleaning truck self-driving. We designed a UI interface to build a virtual testing system of self-driving cleaning truck which is easy to realize human-computer interaction. we have achieved successfully the avoidance of obstacles and round-the-island driving. And we have successfully completed the identification of traffic lights and the pilotless driving test on crossroad virtual scene. In the virtual testing system, we can quickly experience the virtual testing scenes of the self-driving cleaning truck in various scenarios and get some kinematics information. The virtual testing system can partly replace the field tests and provide methods and theoretical guidance for field test, which can shorten the development cycle and save money, and is also unrestricted and repeatable. At the same time, the researching results provide new ideas and methods for the investigation of vehicle tests and pilotless driving.

Immersive learning system for manufacturing industries

Business English proficiency makes great demand on an authentic and information-based environment, especially for non-native English speakers. Therefore, this study was conducted to develop a simulation training system based on virtual reality technology for Business English learners. Virtual Reality technology, characterized by immersion, interaction, inspiration, pertinence, dominance, and openness, can provide a comprehensive and superior training scene for practicing various Business English activities. Hence, this study explores the construction and operation of a virtual reality simulation training system for Pan Business English activities and the application of virtual reality technology in Pan Business English activities. To conclude, although virtual reality technology exploitation is still in the primary stage, the system can significantly improve the learning interest and effect of Business English practitioners.

Virtual training is a growing mode of operation within high technology enterprises through virtual technology and virtual operating strategy. The purpose of this paper was to develop a new conceptual framework and propositions to assist understanding of a new training ideology. The approach used was the integration of related literatures and development of arguments for main factors in virtual training system. We argue that basic technology, management theory and system structure are the key factors for constituting virtual training system in high technology companies. Virtual training system application includes knowledge management system, virtual learning society and autonomic training.

The sense of touch is essential to perform discriminating tasks in virtual reality applications or virtual training systems. To discriminate between different virtual objects, a human operator needs to clearly perceive the stiffness of each object. Stiffness is not only a material property, but also a characteristic of the particular object and express how it is being touched. Stiffness affects the perception of surface topography and depends on the area of applied force. While haptic-enabled virtual reality training systems have been received considerable attention in recent years, our main criticism on these systems is that their virtual environments provide homogeneous haptic stiffness and less perceptually accurate virtual space. This paper investigated how texture affects the perception of haptic stiffness of the virtual object. By performing a psychophysical experiment, we determined that human operator' average accuracy in discriminating perceived haptic stiffness of the virtual object is depending on its texture information and spatial variations. Our findings underscore the importance of implementing spatially varying haptic parameters.

Artificial intelligence involves imitating human thought, consciousness, and other aspects. This is similar to having machine with human brain that can think, produce independently. However, unlike human brain, it has a speed, memory advantage. A virtual reality interactive glove is built using a nine-axis inertial sensor, an artificial intelligence deep learning algorithm. In this research work, Product Design Interaction and Experience Based on Virtual Reality Technology (PDIE-VRT-SCGAN) were proposed. Initially, input gestures data are gathered from the Virtual Reality Experiences (VRE) dataset. The input gestures data is then pre-processed using Multi-Window Savitzky-Golay Filter (MWSGF) to reduce noises, increase overall quality of the gestures data. In order to improving overall user engagement in product design interactions on virtual reality (VR) technology, the pre-processed gestures data are then fed into an adversarial network called a Semi-Cycled Generative Adversarial Network (SCGAN). In general, SCGAN does not express some adaption of optimization strategies for determining optimal parameters to promise exact to improving overall user engagement in product design interactions using VR technology. Therefore, FOX-inspired Optimization (FIO) is proposed to enhance weight parameter of SCGAN method, which precisely improving the user experience in product design interaction. The efficacy of PDIE-VRT-SCGAN method is assessed using a number of performance criteria, including tracking accuracy, frame rate, latency, rendering time, error rate, and user error. The proposed PDIE-VRT-SCGAN method attains 22.36%, 25.42% and 18.17% higher tracking accuracy, 21.26%, 15.42% and 19.27% higher latency, 28.36%, 25.32% and 28.27% higher frame rate compared with existing methods, such as design and implementation of virtual reality interactive product software depend on artificial intelligence deep learning algorithm(DVRI-PS-AI-DL), virtual evaluation system for product designing utilizing virtual reality (VES-PD-VR), and analysis of unsatisfying user experiences with unmet psychological needs for virtual reality exergames utilizing deep learning approach (AUUE-UP-VRE-DLA) respectively.

This paper developed a virtual simulation system on CRH3 EMU bogies for maintenance, integrating with virtual simulation technology, computer simulation technology, modeling technology, virtual reality technology and multi-media technology, where the structure characteristics of CRH3 EMU bogies and requirements for maintenance are considered. The key technologies applied in the developed system were introduced in detail including 3D modeling and model converting for CRH3 EMU based on modularity, 3D visualization based on virtual reality, dynamic assembly simulation, information searching and inquiring and multi-media implementation. The system proposed in this paper can contribute to engineers to make reasonable and cost-effective maintenance plans, and can also be used to train the maintainers. In accordance with the structure characteristics of CRH3 EMU bogies and requirements of maintenance, virtual simulation technologies, computer simulation technology, modeling technology, virtual reality technology and multimedia technology are integrated to develop a virtual simulation system on CRH3 EMU bogies for maintenance. Key technologies applied in the system development include 3D modeling and model converting for CRH3 EMU based on Modular structure, 3D visual viewing based virtual reality, dynamic assembly simulating, information searching and inquiring and multi-media implementing. The system introduced in this paper can help engineers to make a reasonable and cost-effective maintenance plans. It can also be used for maintenance engineers and workers.