Abstract Existing crowd evacuation simulation methods commonly face challenges of low efficiency in path planning and insufficient realism in pedestrian movement during the evacuation process. In this study, we propose a novel crowd evacuation path planning approach based on the learning curve–deep deterministic policy gradient (LC‐DDPG) algorithm. The algorithm incorporates dynamic experience pool and a priority experience sampling strategy, enhancing convergence speed and achieving higher average rewards, thus efficiently enabling global path planning. Building upon this foundation, we introduce a double‐layer method for crowd evacuation using deep reinforcement learning. Specifically, within each group, individuals are categorized into leaders and followers. At the top layer, we employ the LC‐DDPG algorithm to perform global path planning for the leaders. Simultaneously, at the bottom layer, an enhanced social force model guides the followers to avoid obstacles and follow the leaders during evacuation. We implemented a crowd evacuation simulation platform. Experimental results show that our proposed method has high path planning efficiency and can generate more realistic pedestrian trajectories in different scenarios and crowd sizes.

Abstract With the development of virtual reality technology, simulation surgery has become a low‐risk surgical training method and high‐precision positioning of surgical instruments is required in virtual simulation surgery. In this paper we design and validate a novel electromagnetic positioning method based on a uniform gradient magnetic field. We employ Maxwell coils to generate the uniform gradient magnetic field and propose two positioning algorithms based on magnetic field, namely the linear equation positioning algorithm and the magnetic field fingerprint positioning algorithm. After validating the feasibility of proposed positioning system through simulation, we construct a prototype system and conduct practical experiments. The experimental results demonstrate that the positioning system exhibits excellent accuracy and speed in both simulation and real‐world applications. The positioning accuracy remains consistent and high, showing no significant variation with changes in the positions of surgical instruments.

Abstract The material point method (MPM) has attracted more and more attention in computer graphics. It is very successful in simulating both fluid flow and solid deformation, but may fail in simulating multiple fluids and solids coupling. We propose a unified MPM solver for multi‐species simulations. Compared to traditional MPM, we extend the degree of freedom on background grid to store information of multiple materials, so that our framework is able to deal with multiple materials well. The proposed method leverages the advantages of MPM as a hybrid method. We introduce the mixture model into the framework, which was the most widely used for grid‐based multi‐fluid flows. This enables MPM to capture the interaction and relative motion, and animates complex and coupled fluids and solids in a unified manner. A series of experiments are presented to demonstrate effectiveness of our method.

Abstract This study primarily focuses on investigating whether virtual reality scenarios can authentically replicate real‐life audio‐visual environments. The authenticity of audio‐visual environments plays a crucial role in both the design and VR fields today. Only when the authenticity of audio‐visual interactive experiences is validated as feasible can virtual reality technology demonstrate positive impacts. We assessed the annoyance levels subjectively under different audio‐visual conditions: a real cafeteria environment and a simulated cafeteria environment. Participants were tasked with the same activities in both environments. After each experiment, they indicated their levels of annoyance by completing a questionnaire. The results indicated a significant positive correlation between the overall subjective annoyance levels in both experiments and the subjective annoyance levels associated with different behaviors. This suggests that under identical audio conditions, virtual reality scenarios more effectively replicate the real noise environment. Furthermore, we have uncovered that certain objective factors influence the expression of authenticity. Optimizing these factors may potentially further enhance the feasibility of virtual reality technology in audio‐visual environments.

Abstract Explore the digital rendering mode with texturing brush and ink effect, analyze and simulate the brush and ink characteristics of traditional Chinese ink painting, especially the art of landscape painting, and try to integrate the texture of wrinkle method synthesis map and modeling technology based on particle deposition and stacking (overlapping) to render, thus realizing the computer simulation of small freehand brushwork and large freehand brushwork (splash ink) ink effects in traditional landscape painting. This research inherits and develops the esthetic theory and thought of traditional ink painting art, and makes some beneficial exploration in the field of digital freehand ink painting, which has positive reference value and promotion significance for the development of Chinese ink painting.

Abstract Attention‐deficit hyperactivity disorder (ADHD) causes impulsive or hyperactive behaviors and emotional outbursts or trouble focusing. Simple psychotherapy has difficulty achieving desired therapeutic effects, and ADHD diagnoses in adults and children are increasing. However, e‐health games may mitigate the limitations of traditional methods by providing an ecologically relevant experience. In this paper, inspired by psycholinguistics, multimodal interaction, and he Pupil‐CR method, we have developed a narrative game therapy with eye‐tracking to enhance dyslexia and attention deficit manifestations. Using the situated discourses in the game's interactive narration, ADHD patients can concentrate and reduce anxiety and impulsivity. To evaluate the efficacy in improving attention a controlled trial (N = 48) randomly assigned volunteers in 1:1:1 to an eye‐tracking jigsaw game or two control groups. The principal measure was the average difference in attention comparison score (ACS) of the test of variables of attention (TOVA) preintervention and post‐intervention periods. Based on significant differences observed between the groups, we concluded the eye‐tracking jigsaw game could serve as a viable ADHD intervention for children.

Abstract In recent years, the short video industry is booming. However, there are still many difficulties in the action generation of virtual characters. We observed that on the short video social platform, “hand gesture dance” is a very popular short video form. However, its development is limited by the professionalism of choreography. In order to solve these problems, we propose an intelligent choreography framework, which can generate new gesture sequences for unseen audio based on pairing data in the database. Our framework adopts multimodal method and obtains excellent results. In additional, we collected and produced the first and largest pair labeled hand gesture dance data set. Various experiments showed that our results not only generate smooth and rich action sequences, but also collect some semantic information contained in the audio.

Abstract This paper presents a novel method that automatically reconstructs pipes in real time using an RGB‐D camera. The input image is decomposed into superpixels, and a pipe element, which is a 3D circle lying on the pipe surface, is generated for each superpixel. Over frames, the pipe elements are grouped into sequences and are finally modeled in parametric equations. The method is tested in daily settings, where the pipes may be curved and their radii may vary along the axes. The test results show that the method is able to reconstruct pipes efficiently, precisely and robustly.