检索结果-内蒙古大学图书馆

International Journal of Interactive Mobile Technologies 2023年第7期17卷 69-81页

作者： Azeez, Raghad Abdulaali Jamil, Abeer Salim Mahdi, Mohammed Salih Collage of Education Ibn-Rushed for Human Science University of Baghdad Baghdad Iraq Department of Computer Technology Engineering Al-Mansour University College Baghdad Iraq Business Information College University of Information Technology and Communications Baghdad Iraq

User confidentiality protection is concerning a topic in control and monitoring spaces. In image, user's faces security in concerning with compound information, abused situations, participation on global transmission media and real-world experiences are extremely significant. For minifying the counting needs for vast size of image info and for minifying the size of time needful for the image to be address computationally. consequently, partial encryption userface is picked. This study focuses on a large technique that is designed to encrypt the user's face slightly. Primarily, dlib is utilizing for user-face detection. Susan is one of the top edge detectors with valuable localization characteristics marked edges, is used to extract features vectors from user faces. Moreover, the relevance of the suggested generating key is led to a crucial role in security improvement by producing them as difficult to intruders. According to PSNR values, the recommended encryption algorithms provided an adequate outcome in the encryption, they had a lower encrypting duration and a larger encrypting impact. © 2023,International Journal of Interactive Mobile Technologies. All Rights Reserved.

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

Relectrode: A reconfigurable electrode for multi-purpose sensing based on microfluidics 21

Relectrode: A reconfigurable electrode for multi-purpose sen...

引用

2021 CHI Conference on human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021

作者： Sun, Wei Chen, Yanjun Zhan, Simon Han, Teng State Key Laboratory of Computer Science Beijing Key Lab of Human-Computer Interaction Institute of SoftwareChinese Academy of Sciences Beijing China

ISBN: (纸本)9781450380966

In this paper, we propose a reconfgurable electrode, RElectrode, using a microfuidic technique that can change the geometry and material properties of the electrode to satisfy the needs for sensing a variety of diferent types of user input through touch/touchless gestures, pressure, temperature, and distinguish between diferent types of objects or liquids. Unlike the existing approaches, which depend on the specifc-shaped electrode for particular sensing (e.g., coil for inductive sensing), RElectrode enables capacity, inductance, resistance/pressure, temperature, pH sensings all in a single package. We demonstrate the design and fabrication of the microfuidic structure of our RElectrode, evaluate its sensing performance through several studies, and provide some unique applications. RElectrode demonstrates technical feasibility and application values of integrating physical and biochemical properties of microfuidics into novel sensing interfaces. © 2021 ACM.

关键词： Electrodes

来源：评论

学校读者我要写书评

暂无评论

Could human Gaze Augment Detectors of Synthetic Images? 24

Could Human Gaze Augment Detectors of Synthetic Images?

引用

24th International Conference on Digital Signal Processing, DSP 2023

作者： Fotopoulos, Nikolaos Riedmiller, Clara Bozkir, Efe Tsinganos, Panagiotis Ampeliotis, Dimitris Kasneci, Gjergji Kasneci, Enkelejda Skodras, Athanassios Department of Electrical and Computer Engineering University of Patras Greece Department of Computer Science Eberhard Karls University of Tübingen Germany Department of Digital Media and Communication Ionian University Greece Human-Centered Technologies for Learning Technical University of Munich Germany Responsible Data Science Technical University of Munich Germany

ISBN: (纸本)9798350339598

Recent advances in generative adversarial networks (GANs) allow for the synthesis of extremely photo-realistic face images, deceiving even the most experienced observers, let alone the unsuspecting internet user. Due to this, there has been a considerable effort by the image forensics community to design appropriate tools for the detection of these images. This paper first implements one such detection technique based on spatial and cross-band co-occurrence matrices and convolutional neural networks (CNNs), and then attempts to improve it by introducing additional information obtained from the human gaze. We show that in cases where human observers correctly decide whether an image is real or fake, eye movement information in combination with spatial and cross-band co-occurrence matrices derived from observation regions can be informative towards the task of detecting fake images. However, only a limited increase in the detection accuracy is achieved. © 2023 IEEE.

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

Assessment and Quantification of Virtual Reality Induced Sickness in Relation to Age and Gender: A Multi-Modal Approach

Assessment and Quantification of Virtual Reality Induced Sic...

引用

2023 IEEE MIT Undergraduate Research Technology Conference, URTC 2023

作者： Reddy, Abhiram Kim, Jin Ryong University of Texas Dallas Allen High School Multimodal Interactions Lab AllenTX United States University of Texas at Dallas Department of Computer Science The Multimodal Interaction Lab DallasTX United States

ISBN: (纸本)9798350308600

This research paper examines the prevalence and severity of Virtual Reality (VR) induced sickness across various genders and age groups. Utilizing a novel multimodal methodology, we integrated objective physiological data with subjective self-reporting to capture a comprehensive understanding of VR sickness in relation to age and gender. Our study recruited 54 participants from the general population, consisting of an equal number of men and women distributed among four age groups. We recorded heart rate variability (HRV) and Electrodermal Activity (EDA) before and after exposure to a standardized 3-minute VR clip. Additionally, participants completed a questionnaire to self-report symptoms of VR sickness. By analyzing both sets of data, our research reveals that both age and gender impact the likelihood of experiencing VR sickness, with older individuals and females generally experiencing higher levels of discomfort induced by VR. © 2023 IEEE.

关键词： Virtual reality

来源：评论

学校读者我要写书评

暂无评论

Understanding, Implementing, and Supporting Security Assurance Cases in Safety-Critical Domains

arXiv

引用

arXiv 2025年

作者： Mohamad, Mazen Department of Computer Science & Engineering Division of Interaction Design and Software Engineering Chalmers University of Technology University of Gothenburg Gothenburg Sweden

The increasing demand for connectivity in safety-critical domains has made security assurance a crucial consideration. In safety-critical industry, software, and connectivity have become integral to meeting market expectations. Regulatory bodies now require security assurance cases (SAC) to verify compliance, as demonstrated in ISO/SAE-21434 for automotive. However, existing approaches for creating SACs do not adequately address industry-specific constraints and requirements. In this thesis, we present CASCADE, an approach for creating SACs that aligns with ISO/SAE-21434 and integrates quality assurance measures. CASCADE is developed based on insights from industry needs and a systematic literature review. We explore various factors driving SAC adoption, both internal and external to companies in safety-critical domains, and identify gaps in the existing literature. Our approach addresses these gaps and focuses on asset-driven methodology and quality assurance. We provide an illustrative example and evaluate CASCADE's suitability and scalability in an automotive OEM. We evaluate the generalizability of CASCADE in the medical domain, highlighting its benefits and necessary adaptations. Furthermore, we support the creation and management of SACs by developing a machine-learning model to classify security-related requirements and investigating the management of security evidence. We identify deficiencies in evidence management practices and propose potential areas for automation. Finally, our work contributes to the advancement of security assurance practices and provides practical support for practitioners in creating and managing SACs. Copyright © 2025, The Authors. All rights reserved.

关键词： Automotive industry

来源：评论

学校读者我要写书评

暂无评论

An Interactive Augmented Reality Interface for Personalized Proxemics Modeling

arXiv

引用

arXiv 2024年

作者： Nigro, Massimiliano O’Connell, Amy Groechel, Thomas Velentza, Anna-Maria Matarić, Maja The Interaction Lab. Department of Computer Science University of Southern California Los AngelesCA90089 United States

Understanding and respecting personal space preferences is essential for socially assistive robots designed for older adult users. This work introduces and evaluates a novel personalized context-aware method for modeling users’ proxemics preferences during human-robot interactions. Using an interactive augmented reality interface, we collected a set of user-preferred distances from the robot and employed an active transfer learning approach to fine-tune a specialized deep learning model. We evaluated this approach through two user studies: 1) a convenience population study (N = 24) to validate the efficacy of the active transfer learning approach;and 2) a user study involving older adults (N = 15) to assess the system’s usability. We compared the data collected with the augmented reality interface and with the physical robot to examine the relationship between proxemics preferences for a virtual robot versus a physically embodied robot. We found that fine-tuning significantly improved model performance: on average, the error in testing decreased by 26.97% after fine-tuning. The system was well-received by older adult participants, who provided valuable feedback and suggestions for future work. Copyright © 2024, The Authors. All rights reserved.

关键词： Active learning

来源：评论

学校读者我要写书评

暂无评论

RealityGit: Cross Reality Version Control of R&D Optical Workbench

RealityGit: Cross Reality Version Control of R&D Optical Wor...

引用

IEEE International Symposium on Mixed and Augmented Reality Workshops (ISMARW)

作者： Ke Li Tim Rolff Reinhard Bacher Frank Steinicke Deutsches Elektronen-Synchrotron DESY Germany Department of Informatics Human-Computer Interaction Universität Hamburg Department of Informatics Computer Vision Universität Hamburg

Multi-user collaboration at research and development (R&D) workbenches in advanced optics laboratories involves updating and documenting the status of hundreds of components. Although there are abundant mixed reality (MR) systems to support the collaboration of spatially co-located users, limited methods are available to facilitate cooperation in the spatial-temporal domain. Inspired by the version control workflow used in software development, we propose RealityGit, a novel cross-reality (CR) system design that leverages the recent advancements of neural radiance fields (NeRF). We illustrate how the NeRF model can be used to channel users with different extended reality (XR) experiences by providing an accurate immersive visual documentation of the historical states of a complex R&D workbench. We demonstrate the feasibility of such a system through an implementation where users could contribute to the version control workflows by integrating historical NeRF scans into their MR devices or providing status reviews by annotating or editing a NeRF model in virtual reality (VR).

关键词：

来源：评论

学校读者我要写书评

暂无评论

Emotion Recognition Method Based on EEG Signals: 4D-CapsBLnet Model Integrating Spatio-Temporal Features 2

Emotion Recognition Method Based on EEG Signals: 4D-CapsBLne...

引用

2nd IEEE International Conference on Control, Electronics and computer Technology, ICCECT 2024

作者： Zhuang, Chenze Dai, Licao Fu, Qiang College of Computer Science University of South China Hengyang421001 China Human Factor Institute University of South China Hengyang421001 China University of South China Department of Management Science and Engineering Hengyang421001 China

ISBN: (纸本)9798350380958

Emotion recognition technology based on electroencephalogram (EEG) signals has become a focal point for experts and scholars globally. To improve the accuracy of machine understanding of human emotions, this paper characterizes the multidimensional information features in EEG signals, and solves the problem of 4-dimensional fusion of temporal, frequency and 2D spatial features of EEG signals, and we present a novel method named 4D-CapsBLnet. First, we transformed the multidimensional features from various channels into 4D structures for training the deep learning model. Second, we utilized Capsule Networks (CapsNet) to capture spatial and frequency information from each temporal slice of 4D inputs, while Bidirectional Long Short- Term Memory Networks (Bi-LSTM) was employed to capture temporal dependencies. To comprehensively assess the model's performance, we conducted a five-fold cross-validation with a maximum epoch limit and early stopping strategy. The average accuracy and standard deviation on the SEED, SEED-IV, and SEED-V datasets are 95.06% ± 1.65%, 88.47% ± 1.74%, and 88.23% ± 1.12%, respectively. Compared to similar research methods, the proposed model in this paper demonstrates robustness and superior performance in emotion recognition tasks. © 2024 IEEE.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

Algorithmic Mirror: Designing an Interactive Tool to Promote Self-Reflection for YouTube Recommendations

arXiv

引用

arXiv 2025年

作者： Kondo, Yui Dunnell, Kevin Xiao, Qing Zhao, Jun Rocher, Luc Oxford Internet Institute University of Oxford United Kingdom MIT Media Lab Massachusetts Institute of Technology United States Human-Computer Interaction Institute Carnegie Mellon University United States Department of Computer Science University of Oxford United Kingdom

Big Data analytics and Artificial Intelligence systems derive non-intuitive and often unverifiable inferences about individuals’ behaviors, preferences, and private lives. Drawing on diverse, feature-rich datasets of unpredictable value, these systems erode the intuitive connection between our actions and how we are perceived, diminishing control over our digital identities. While Explainable Artificial Intelligence scholars have attempted to explain the inner workings of algorithms, their visualizations frequently overwhelm end-users with complexity. This research introduces ‘hypothetical inference’—a novel approach that uses language models to simulate how algorithms might interpret users’ digital footprints and infer personal characteristics without requiring access to proprietary platform algorithms. Through empirical studies with fourteen adult participants, we identified three key design opportunities to foster critical algorithmic literacy: (1) reassembling scattered digital footprints into a unified map, (2) simulating algorithmic inference through LLM-generated interpretations, and (3) incorporating temporal dimensions to visualize evolving patterns. This research lays the groundwork for tools that can help users recognize the influence of data on platforms and develop greater autonomy in increasingly algorithm-mediated digital environments. Copyright © 2025, The Authors. All rights reserved.

关键词： Video analysis

来源：评论

学校读者我要写书评

暂无评论

Surface defect identification using Bayesian filtering on a 3D mesh

Surface defect identification using Bayesian filtering on a ...

引用

作者： Dalle Vedove, Matteo Bonetto, Matteo Lamon, Edoardo Palopoli, Luigi Saveriano, Matteo Fontanelli, Daniele Department of Industrial Engineering Universitá di Trento Trento Italy DRIM Ph.D. of National Interest in Robotics and Intelligent Machines Italy Department of Information Engineering and Computer Science Universitá di Trento Trento Italy Human-Robot Interfaces and Interaction Istituto Italiano di Tecnologia Genoa Italy

This paper presents a CAD-based approach for automated surface defect detection. We leverage the a-priori knowledge embedded in a CAD model and integrate it with point cloud data acquired from commercially available stereo and depth cameras. The proposed method first transforms the CAD model into a high-density polygonal mesh, where each vertex represents a state variable in 3D space. Subsequently, a weighted least squares algorithm is employed to iteratively estimate the state of the scanned workpiece based on the captured point cloud measurements. This framework offers the potential to incorporate information from diverse sensors into the CAD domain, facilitating a more comprehensive analysis. Preliminary results demonstrate promising performance, with the algorithm achieving convergence to a sub-millimeter standard deviation in the region of interest using only approximately 50 point cloud samples. This highlights the potential of utilising commercially available stereo cameras for high-precision quality control applications. © 2025

关键词： Mesh generation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：