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AR Based Educational App: A Survey 6

AR Based Educational App: A Survey

引用

6th IEEE International conference on Recent Advances in Intelligent Computational Systems, RAICS 2024

作者： Anila, S. Shyama, R. Abhinav, R.P. Unni, Achyuth Ganesh, Gokul S Adi Shankara Institute of Engineering & Technology Computer Science and Engineering Kerala Kalady India

ISBN: (纸本)9798350381689

Augmented reality is opening up exciting new frontiers in education by seamlessly blending digital enhancements with the physical learning environment. This fusion of real and virtual creates immersive experiences where abstract concepts spring to life. Students are empowered to actively construct knowledge and collaboratively solve problems within authentic *** enables 3D visualizations that overlay physical objects, allowing learners to interact with content in entirely new ways. Detailed computer graphics respond in real-time, transforming static materials into dynamic learning tools. Educators are leveraging AR's visualization and simulation capabilities to boost engagement and deepen understanding of complex topics. This emerging technology aligns well with constructivist and situated learning theories that emphasize hands-on, contextualized learning. By leveraging mobile devices, AR makes these powerful experiences available anytime, anywhere. The educational AR market is projected to grow exponentially in the coming years, reflecting the tremendous potential of this technology to reimagine teaching and learning. Educators are increasingly embracing AR to spark curiosity,promote active inquiry and create immersive digital layers that bring the classroom to life. This fusion of cutting-edge technology with pedagogical innovation points to an exciting future for augmented learning. © 2024 IEEE.

关键词： Personnel training

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An Improved YOLOv8-Based Rice Pest and Disease Detection 41st

An Improved YOLOv8-Based Rice Pest and Disease Detection

引用

41st computer graphics International conference, CGI 2024

作者： Yang, Yang Zhu, Jianlin Yang, Bo Zhang, Xiao Huang, Jin South-Central Minzu University a. College of Computer Scienceb. Hubei Provincial Engineering Research Center for Intelligent Management of Manufacturing Enterprises Wuhan430074 China School of Computer Science and Technology University of Science and Technology of China Hefei230026 China School of Computer Science and Artificial Intelligence Wuhan Textile University Wuhan430200 China

ISBN: (纸本)9783031820236

While rice pests and diseases significantly impact crop yields, existing deep learning methods for their detection face challenges with accuracy and deployment complexity. Addressing these issues, this study proposes the YOLOv8-HSFPN, an advanced detection framework. Firstly, it features an innovative High-level Select Feature Pyramid Network (HSFPN) neck network that effectively integrates high-level and low-level feature sets for enhanced feature fusion. Secondly, the addition of a deformable self-attention module further refines the model’s adaptability to the varying shapes and locations of targets, dynamically adjusting to the salient features. The proposed model has undergone comparative and ablation studies alongside YOLOv8, YOLOv9, and YOLOv5, confirming its improved accuracy and streamlined deployment. This integration results in a robust detection model that not only marks a significant leap in accuracy, evidenced by a 3% empirical increase over the standard YOLOv8, but is also remarkably compact. At a mere 3.97MB, this substantial 49.87% size reduction compared to its predecessors renders it exceptionally suitable for devices with limited computational resources, thereby enhancing its viability in practical, real-world applications. © The Author(s), under exclusive license to springer Nature Switzerland AG 2025.

关键词： Deep learning

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Pedestrian Detection in Foggy Weather Through YOLOv8 Based on FEAttention 41st

Pedestrian Detection in Foggy Weather Through YOLOv8 Based ...

引用

41st computer graphics International conference, CGI 2024

作者： Sun, Meng Zhu, Jianlin Yang, Bo Huang, Jin Zhang, Xiao College of Computer Science South-Central Minzu University Wuhan430074 China Hubei Provincial Engineering Research Center for Intelligent Management of Manufacturing Enterprises South-Central Minzu University Wuhan430074 China School of Computer Science and Technology University of Science and Technology of China Hefei230026 China School of Computer Science and Artificial Intelligence Wuhan Textile University Wuhan430200 China

ISBN: (纸本)9783031820236

Despite the high accuracy achieved by current pedestrian detection technologies, their performance is significantly hindered in foggy weather conditions due to image color distortion and an increased false alarm. This often leads to false positives, false negative, and other related issues. To address these limitations, we propose an enhanced FDW-YOLOv8 (Feature-Enhancing-Attention Dark Channel Prior Wise-IOU YOLOv8) model based on the YOLOv8 algorithm. This model incorporates FEAttention(Feature-Enhancing-Attention) mechanism into the original YOLOv8 network to improve the discriminability and robustness of extracted features, thus reducing the miss rate(MR). Furthermore, we employ the WiseIOU(WIoU) loss function to expedite model convergence and optimize the accuracy of anchor frames, effectively handling challenges posed by occlusions and scale variations in foggy environments. Prior to model prediction, we utilize the Dark Channel Prior(DCP) defogging algorithm to preprocess input images, effectively extracting pedestrian information while suppressing irrelevant details, thus minimizing the false positive rate (FPR). To evaluate the performance of our model, we create a specialized Foggy-Pedestrian dataset, focusing on pedestrian detection in foggy conditions. Our experiments demonstrate that the proposed FDW-YOLOv8 model significantly outperforms the benchmark model in terms of reducing FPR and MR, exhibiting high generalization and practical applicability for real-world applications in foggy environments. © The Author(s), under exclusive license to springer Nature Switzerland AG 2025.

关键词： Benchmarking

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Shared Residual Mapping Model for Efficient Ensemble

Shared Residual Mapping Model for Efficient Ensemble

引用

computer graphics and Image Processing (CGIP), International conference on

作者： Hayato Terao Wataru Noguchi Masahito Yamamoto Hokkaido University Hokkaido Japan

ISBN: (数字)9798350374186

ISBN: (纸本)9798350374193

The multi-input multi-output (MIMO) model is an ensemble model with a single network for image classification. This model is optimized to create independent subnetworks in the backbone network and uses them for the ensemble of image classification. The problem with the MIMO model is that it can hold only a few subnetworks to keep the entire generalization. To overcome this problem, this study introduces the shared residual mapping (ShaRM) model. The ShaRM model consists of a single network with multiple information paths to increase the network capacity depending on the ensemble size. Because the ShaRM model shares residual mapping among input images, the ShaRM model effectively reduces the computational cost and becomes as efficient as the MIMO model. We optimize the ShaRM model on the CIFAR-100 dataset by changing the ensemble sizes and experimentally show that the ShaRM model is more robust against the ensemble size than the MIMO model. We also show that when the backbone network is relatively small, the ShaRM model achieves better accuracy than the MIMO model.

关键词： Computational modeling Image processing computer graphics Predictive models Computational efficiency Task analysis MIMO communication

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Rendering Virtual Inertia in Haptic Interfaces: Analysis and Limitations 39

Rendering Virtual Inertia in Haptic Interfaces: Analysis and...

引用

IEEE International conference on Robotics and Automation (ICRA)

作者： Juan Gil, Jorge Ugartemendia, Axier Diaz, Inaki Univ Navarra Tecnun Sch Engn Paseo Manuel Lardizabal 13 San Sebastian 20018 Spain CEIT Basque Res & Technol Alliance BRTA Paseo Manuel Lardizabal 15 San Sebastian 20018 Spain

ISBN: (纸本)9781728196817

Virtual environments designed for haptic applications are usually rendered as a combination of spring and damper elements. The resulting haptic experience can be greatly enhanced by also adding virtual inertia, for example when interacting with mobile virtual objects. This paper analyzes the impact of implementing virtual inertia on haptic rendering stability. It describes the methodology followed to identify the physical inertia of a mechanism, to derive the acceleration from position, and the implications of this process on stability. Main results show how digital filtering and internal flexibility of the device affect the expected uncoupled stability region.

关键词： Filtering Virtual environments Predictive models Rendering (computer graphics) Stability analysis Shock absorbers Haptic interfaces

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computer Vision-Based Cell Association for mmWave/THz Ultra-Dense Networks

Computer Vision-Based Cell Association for mmWave/THz Ultra-...

引用

IEEE conference on Vehicular Technology (VTC)

作者： Khoa Anh Ngo Jihoon Moon Byonghyo Shim Department of Electrical and Computer Engineering Institute of New Media and Communications Seoul National University Korea

ISBN: (数字)9798350387414

ISBN: (纸本)9798350387421

Ultra-dense networks (UDN) are anticipated to fulfill the high-performance demands for future applications of 5G and beyond communication networks. By exploiting recent advances in computer vision techniques, we propose a novel cell association technique, referred to as computer vision-based cell association (CV-CA), that circumvents the cumbersome CSI acquisition. The computer vision technique provides accurate 3D position and determines the line-of-sight communication link of all users within the UDN using RGB images. We demonstrate from the simulations that the proposed CV-CA outperforms 5G-NR and conventional cell association techniques in terms of total data rate.

关键词： computer vision Visualization Vehicular and wireless technologies Three-dimensional displays Line-of-sight propagation Rendering (computer graphics) Vectors

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Throat Modeling Based on Mass-spring Method and Unity 3D for Surgery Traning 8

Throat Modeling Based on Mass-Spring Method and Unity 3D for...

引用

8th International conference on Virtual Reality, ICVR 2022

作者： Li, Liang Pu, Yanfeng Wang, Ting Sun, Zhenxing Zheng, Dekun Zhong, Yichen Nanjing Tech University College of Electrical and Engineering Nanjing China Nanjing Customs District 360 Longpanzhong Road: Qinhuai District China

ISBN: (数字)9781665479110

ISBN: (纸本)9781665479110

With continuous development and progress of computer graphics, virtual reality and other technologies, it has gradually begun to use computers to make virtual objects with highly reductive properties to simulate the motion and posture of real objects. The simulation technology of rigid objects is becoming more and more mature. However, the flexible objects' modeling and simulation is still an active topic. Using virtual flexible object for preoperative training is an important application of flexible object modeling technology in the field of medical area. Before the surgery, doctors can use virtual flexible objects for teaching or training, which is great significant to improve the success rate of surgery and reduce errors. At present, the demand of soft object models realized by physical modeling method is increasing. In this paper, we construct a virtual spring using Hooke' s law, updating the velocity and position of the masses using Euler' s integral method. We also construct a spring mass model for a throat by generating the masses according to the model volume. The mass position information may be acquired from dynamic texture mapping so as to realize the deformation simulation of a flexible object. © 2022 IEEE.

关键词： Virtual reality

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An Adaptable Approach to Learn Realistic Legged Locomotion without Examples 39

An Adaptable Approach to Learn Realistic Legged Locomotion w...

引用

IEEE International conference on Robotics and Automation (ICRA)

作者： Ordonez-Apraez, Daniel Agudo, Antonio Moreno-Noguer, Francesc Martin, Mario CSIC UPC Inst Robot & Informat Ind Barcelona Spain Univ Politecn Cataluna Dept Ciencies Comp Barcelona Spain Barcelona Supercomp Ctr BSC Barcelona Spain

ISBN: (纸本)9781728196817

Learning controllers that reproduce legged locomotion in nature has been a long-time goal in robotics and computer graphics. While yielding promising results, recent approaches are not yet flexible enough to be applicable to legged systems of different morphologies. This is partly because they often rely on precise motion capture references or elaborate learning environments that ensure the naturality of the emergent locomotion gaits but prevent generalization. This work proposes a generic approach for ensuring realism in locomotion by guiding the learning process with the spring-loaded inverted pendulum model as a reference. Leveraging on the exploration capacities of Reinforcement Learning (RL), we learn a control policy that fills in the information gap between the template model and full-body dynamics required to maintain stable and periodic locomotion. The proposed approach can be applied to robots of different sizes and morphologies and adapted to any RL technique and control architecture. We present experimental results showing that even in a model-free setup and with a simple reactive control architecture, the learned policies can generate realistic and energy-efficient locomotion gaits for a bipedal and a quadrupedal robot. And most importantly, this is achieved without using motion capture, strong constraints in the dynamics or kinematics of the robot, nor prescribing limb coordination. We provide supplemental videos for qualitative analysis of the naturality of the learned gaits.

关键词： Legged locomotion Adaptation models Robot kinematics Morphology computer architecture Reinforcement learning Motion capture

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A Whole-Body Controller Based on a Simplified Template for Rendering Impedances in Quadruped Manipulators

A Whole-Body Controller Based on a Simplified Template for R...

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IEEE/RSJ International conference on Intelligent Robots and Systems (IROS)

作者： Risiglione, Mattia Barasuol, Victor Caldwell, Darwin G. Semini, Claudio IIT Via S Quirico 19D I-16163 Genoa Italy

ISBN: (数字)9781665479271

ISBN: (纸本)9781665479271

Quadrupedal manipulators require to be compliant when dealing with external forces during autonomous manipulation, tele-operation or physical human-robot interaction. This paper presents a whole-body controller that allows for the implementation of a Cartesian impedance control to coordinate tracking performance and desired compliance for the robot base and manipulator arm. The controller is formulated through an optimization problem using Quadratic Programming (QP) to impose a desired behavior for the system while satisfying friction cone constraints, unilateral force constraints, joint and torque limits. The presented strategy decouples the arm and the base of the platform, enforcing the behavior of a linear double-mass spring damper system, and allows to independently tune their inertia, stiffness and damping properties. The control architecture is validated through an extensive simulation study using the 90kg HyQ robot equipped with a 7-DoF manipulator arm. Simulation results show the impedance rendering performance when external forces are applied at the arm's endeffector. The paper presents results for full stance condition (all legs on the ground) and, for the first time, also shows how the impedance rendering is affected by the contact conditions during a dynamic gait.

关键词： Legged locomotion Robot kinematics Force Rendering (computer graphics) End effectors Shock absorbers Impedance

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Proceedings - SCCG 2014: 30th spring conference on computer graphics

Proceedings - SCCG 2014: 30th Spring Conference on Computer ...

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30th spring conference on computer graphics, SCCG 2014

ISBN: (纸本)9781450330701

The proceedings contain 13 papers. The topics discussed include: rapid modelling of interactive geological illustrations with faults and compaction;live ultrasound-based particle visualization of blood flow in the heart;a survey of direction-preserving layout strategies;bounding volume hierarchies versus Kd-trees on contemporary many-core architectures;adaptive BVH: an evaluation of an efficient shared data structure for interactive simulation;multiple instances object detection;Kinect-supported dataset creation for human pose estimation;hybrid color model for image retrieval based on fuzzy histograms;cheap rendering vs. costly annotation: rendered omnidirectional dataset of vehicles;sampling Gabor noise in the spatial domain;position based skinning of skeleton-driven deformable characters;skeleton-based matching for animation transfer and joint detection;and evaluating the covariance matrix constraints for data-driven statistical human motion reconstruction.

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