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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Zeinali, Hossein Lee, Kong Aik Alam, Jahangir Burget, Lukáš Department of Computer Engineering Amirkabir University of Technology Tehran Iran Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University Kowloon Hong Kong Department of Computer Graphics and Multimedia Brno University of Technology Brno Czech Republic Computer Research Institute of Montreal Montreal Canada

ISBN: (纸本)9798350368741

In contrast to text-independent speaker verification, which has received significant attention from researchers and has many competitions dedicated to it, text-dependent speaker verification (TdSV) has been less explored recently. The TdSV Challenge 2024 was organized to analyze and explore novel methods for this type of speaker verification and aims to motivate participants to develop new approaches to TdSV, conduct comprehensive analyses, and investigate advanced techniques such as self-supervised learning. This challenge builds on the achievements of the short-duration speaker verification (SdSV) Challenges held in 2020 and 2021 and focuses specifically on TdSV in two distinct scenarios. The first scenario involves conventional TdSV, while the second focuses on speaker enrollment using user-defined passphrases. This paper provides a detailed description of both tasks, introduces the evaluation rules, and presents a comprehensive analysis of the results obtained from this challenge. © 2025 IEEE.

关键词： DeepMine dataset TdSV Challenge Text-dependent Speaker Verification User-defined passphrase

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DNN-based Skeleton Independent Motion Retargeting 27

DNN-based Skeleton Independent Motion Retargeting

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27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES 2023

作者： Akber, Syed Muhammad Abrar Kazmi, Sadia Nishat Szczesna, Agnieszka Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice44-100 Poland

In the modern digital world, the use of animated applications has increased significantly and such applications have quietly become an integral part of life. Capturing human motions is a fundamental aspect of these applications which is performed by motion-capturing (MoCap) systems. Due to the heterogeneity of MoCap systems and marker configurations, the captured skeletons may vary in their structure, number of joints, and bone lengths. The need for motion retargeting arises to transfer motion captured from one articulated actor to another. Although motion retargeting is a long-standing issue, current methods cannot automatically execute retargeting between skeletons. This paper presents the retraining of a popular motion retargeting network with a new large-scale motion dataset. The retraining aims to demonstrate the capabilities of the motion retargeting network to handle the problem of motion retargeting between skeletons that may have different structures. The paper first, presents the motion retargeting network that employs an encoder-decoder architecture. Afterward, we re-train the motion retargeting network with a new MoCap dataset. To validate the effectiveness of the network, we visually compare the generated results with the existing retargeting model. The results show that the motion retargeting network effectively retargets the different motions. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： Decoder Deep neural network Encoder Motion retargeting

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Brain computer Interfacing with a Virtual Environment 32

Brain Computer Interfacing with a Virtual Environment

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32nd International Conference in Central Europe on computer graphics, Visualization and computer Vision, WSCG 2024

作者： Gamillscheg, Florian Ruprecht, Irena Settgast, Volker Pietroszek, Krzysztof Augsdörfer, Ursula Institute of Computer Graphics and Knowledge Visualisation Graz University of Technology Austria Fraunhofer Austria Graz Austria American University WashingtonDC United States Graz University of Technology Austria

Virtual Reality (VR) applications constantly strive for more realism, immersion and intuitive user experiences. Traditional VR controllers can hinder full immersion, since they form an additional barrier between the user’s thoughts or intentions and the virtual world. Brain computer interfaces (BCIs) have the potential to close this gap by enabling an immediate translation of human thoughts to commands that can be processed by a computer. This paper investigates the feasibility of employing an affordable commercial BCI device for VR interaction. In a preliminary study conducted in a Cave Automatic Virtual Environment (CAVE), we evaluate both the effectiveness and limitations of the popular BCI device Emotiv Insight. © 2024 University of West Bohemia. All rights reserved.

关键词： Virtual environments

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Live Feedback for Training Through Real-Time Data Visualizations: A Study with League of Legends

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Proceedings of the ACM on Human-computer Interaction 2022年第CHIPLAY期6卷 1–23页

作者： Rijnders, Frans Wallner, Günter Bernhaupt, Regina Department of Industrial Design Eindhoven University of Technology Eindhoven Netherlands Institute of Computer Graphics Johannes Kepler University Linz Linz Austria

With competitive gaming on the rise, players have developed an increased interest in data-driven feedback of their in-game performance. In many cases, this feedback is presented visually post-play but live companions that provide real-time analytics are gaining more and more attention. However, the design of such systems poses different requirements which have been little explored from a scholarly point of view. In this paper, we report on a study of two visualizations - a physical and digital one - providing live feedback to League of Legends players designed based on a community survey (N= 175) and expert input. We further discuss results of a qualitative evaluation with 13 players and an expert, touch upon potential benefits and drawbacks of physical and digital implementations, and present derived design considerations and challenges for such real-time data visualizations, revolving around issues of information density, contextualization, representation, and a diverse range of user needs. © 2022 ACM.

关键词： Visualization

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Detecting DTI Using Graph Embedding and Multi-Head Attention Mechanism

Detecting DTI Using Graph Embedding and Multi-Head Attention...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Lin, Xiaoli Chen, Yaoyu Yang, Wenli Yu, HaiPing Wu, Zimo Zhang, Xiaolong Wuhan University of Science and Technology Hubei Key Laboratory of Intelligent Information Processing and Real-Time Industrial System School of Computer Science and Technology Wuhan China China Graphics Society School of Information Wuhan Vocational College Professional Committee of Graphics and Big Data Wuhan China

ISBN: (纸本)9798350386226

Drug-target interaction (DTI) prediction has an important role in drug discovery, significantly expediting the drug design and development process. This paper proposes a new model, ERW-BiAN, that seamlessly integrates graph embedding representations with deep learning network. Specifically, we utilize an improved graph embedding model, ERW, to generate comprehensive feature vectors for each node within the knowledge graph. Subsequently, these feature vectors are fed into the BiAN model, which leverages an attention mechanism to assign precise weights to sequences. Experimental results demonstrate the superior accuracy and predictive prowess of ERW-BiAN in DTI prediction tasks. Furthermore, the case about COVID-19 shows that ERW-BiAN has the better application potential for predicting drug-target interactions. © 2024 IEEE.

关键词： Knowledge graph

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Secured Digital and QR Code Payments: A Comparative Analysis of Payment Models 4

Secured Digital and QR Code Payments: A Comparative Analysis...

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4th International Conference on Sustainable Expert Systems, ICSES 2024

作者： Galhotra, Bhavna Bhaskar Bajaj, Shalini Jatain, Aman Jaglan, Vivek Amity University Jims Computer science dept Sec-5 Rohini India Amity University Computer science dept India Manav Rachna University Department of Computer Science & Technology India Graphics Era University Dehradun India

ISBN: (纸本)9798331540364

The internet's explosive expansion has paved the way for a wide range of smartphone applications that use QR codes and digital wallets to facilitate online payments. Security is a major concern for web-based applications since they are being delivered over the Internet at a rapid pace. Due to unlawful access to many accounts, which causes problems with end-to-end security, the security of these applications has grown to be a top concern for both customers and business owners. This work has addressed the several models that are accessible for security applications, also provided a comparative analysis of all the models, taking into account their security privacy, adaptability, accuracy reliability, vulnerabilities and suitability for digital wallets and online payment systems through QR codes. © 2024 IEEE.

关键词： Electronic money

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Spatial Augmented Reality for Heavy Machinery Using Laser Projections

Spatial Augmented Reality for Heavy Machinery Using Laser Pr...

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Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE Conference on

作者： Thomas Kernbauer Maximilian Tschulik Philipp Fleck Clemens Arth Institute of Computer Graphics and Vision Graz University of Technology

ISBN: (数字)9798350374490

ISBN: (纸本)9798350374506

Operating heavy machinery is challenging and can pose safety hazards for the operator and bystanders. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupational support to operators, they can also cause problems. Particularly in off-highway scenarios, i.e., when driving machines in bumpy environments, the usefulness of current AR devices and the willingness of operators to wear them are limited. Therefore, we explore how laser-projection-based AR can help the operator facilitate their tasks and enhance safety. For this, we present a compact hardware unit and introduce a flexible and declarative software system. Furthermore, we examine the calibration process to leverage a camera projector setup and outline a process for creating images suitable for display by a laser projector from a set of line segments. Finally, we showcase its ability to provide efficient instructions to operators and bystanders and propose concrete applications for our setup.

关键词： Solid modeling Three-dimensional displays User interfaces Distortion Cameras Software systems Hardware

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SLAM Methods for Augmented Reality Systems for Flight Simulators 23rd

SLAM Methods for Augmented Reality Systems for Flight Simu...

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23rd International Conference on Computational Science, ICCS 2023

作者： Nwobodo, Onyeka J. Wereszczyński, Kamil Cyran, Krzysztof Department of Computer Graphics Vision and Digital Systems Silesian University of Technology Akademicka 2A Gliwice44-100 Poland

ISBN: (纸本)9783031359941

In this paper, we present the review and practical evaluation of the flight simulators of Simultaneous Localization and Mapping methods. We present a review of recent research and development in the SLAM application in a wide range of domains, like autonomous driving, robotics and augmented reality (AR). Then we focus on the methods selected from the perspective of their usefulness in the AR systems for training and servicing the flight simulators. The localization and mapping in such an environment are much more complex than in others since the flight simulator is relatively small and close area. Our previous experiments showed that the built-in SLAM system in HoloLens is insufficient for such areas and has to be enhanced with additional elements, like QR codes. Therefore, the presented study on other methods can improve the localization and mapping of AR systems in flight simulators. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Augmented reality

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Evaluating the Sense of Embodiment through Out-of-Body Experience and Tactile Feedback 18

Evaluating the Sense of Embodiment through Out-of-Body Exper...

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18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, VRCAI 2022

作者： Cui, Dixuan Mousas, Christos Department of Computer Graphics Technology Purdue University West LafayetteIN United States

ISBN: (纸本)9798400700316

Out-of-body experience (OBE) is generated by sensory disintegration. In virtual reality (VR), we can provide OBE to people by switching the first-person perspective (1PP) to the third-person perspective (3PP). Generally, 1PP is the choice for high body ownership and presence. Moreover, tactile feedback that is experienced from the 1PP can provide a higher immersive experience. However, whether the combination of 3PP and tactile feedback could affect the sense of embodiment in immersive environments is underexplored. Thus, we conducted a 2 × 2 (OBE: 1PP vs. 3PP × Tactile Feedback [TF]: with vs. without tactile feedback) VR study to discover the effect of OBE in the presence of TF. In our study, we examined OBE and TF through the five dimensions of the sense of embodiment: body ownership, agency, tactile sensations, location of the body, and response to external stimuli. We developed an application to replicate the rubber hand illusion (RHI) study with partial body tracking. We found significant results for both OBE and TF in different dimensions of embodiment. Specifically, we revealed that 3PP decreased the body's sense of body ownership, agency, and location. Moreover, enabling tactile feedback induced tactile sensations and responses to external stimuli. In the remainder of this paper, we discuss our findings and limitations and provide directions for future studies on OBE in VR. © 2022 Owner/Author.

关键词： Virtual reality

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Players’ Perception of Bugs and Glitches in Video Games: An Exploratory Study

arXiv

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arXiv 2025年

作者： Backus, Jessica Purdue University Department of Computer Graphics Technology United States

The goal of this exploratory research is to investigate how glitches and "bugs" within video games affect a player’s overall experience. The severity or frequency of bugs, as well as the nature of the bugs present, could influence how the players perceive these interactions. Another factor is the player’s personality because this will affect their motivations for playing certain games as well as how they react to bugs within these games. Glitches and bugs are framed as a negative aspect within games, but create the potential for enjoyable experiences, despite being unexpected. To explore this hypothesis, I observed some glitches within recorded gameplay via YouTube and Twitch livestream VODs and analyzed the streamer’s reaction, as well as the audience’s. I also conducted semi-structured interviews with gamers with the goal of learning more about that player’s personality and attitudes towards bugs in the games they play. I concluded that the types of bugs matter less to the players than how frequently they occur, the context they occur, and the outcome of them. © 2025, CC BY.

关键词： Interactive computer graphics

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