In surgery, accurate localization of critical structures like blood vessels is crucial, yet current 2D visualization methods limit precision and increase cognitive load for surgeons. This paper introduces a markerless...
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ISBN:
(数字)9798331514846
ISBN:
(纸本)9798331525637
In surgery, accurate localization of critical structures like blood vessels is crucial, yet current 2D visualization methods limit precision and increase cognitive load for surgeons. This paper introduces a markerless registration approach that uses only sensors in a Head-Mounted Display to align CT/MRI data directly onto the patient in a 3D space. Point clouds extracted from CT/MRI data are registered with world captures from the Head-Mounted Display’s time-of-flight camera, allowing for precise visualization. We evaluated the system using physical measurements on phantoms and compared algorithmic registration to manual alignment. The results show a registration error of approx. 4.87±0.05mm, demonstrating the potential of this technique for preoperative planning and intraoperative support.
Integrating Autonomous Vehicles (AVs) into daily life requires a fundamental shift in user trust and acceptance. Previous studies show that Augmented Reality (AR) visualization can improve trust in AVs. However, those...
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ISBN:
(数字)9798331514846
ISBN:
(纸本)9798331525637
Integrating Autonomous Vehicles (AVs) into daily life requires a fundamental shift in user trust and acceptance. Previous studies show that Augmented Reality (AR) visualization can improve trust in AVs. However, those studies primarily focus on adding information related to the driving task. The question then must be asked: What happens if we remove unnecessary information or modify information unrelated to the driving task? Our work presents six AR visualizations within AVs, including adding, modifying, and removing information related to or non-related to the driving task. We evaluate the influence of these visualizations on trust, technology acceptance, and Situational Awareness (SA) in AVs by conducting a study employing a custom-developed driving simulator. Results show that using AR to add, modify, or remove information can significantly increase trust in AVs.
The inability of PV panels to store the energy, changes in energy production due to weather conditions, and challenges in maintaining long-term efficiency create significant difficulties. In this study, we propose a c...
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ISBN:
(数字)9798350368369
ISBN:
(纸本)9798350368376
The inability of PV panels to store the energy, changes in energy production due to weather conditions, and challenges in maintaining long-term efficiency create significant difficulties. In this study, we propose a comprehensive digital twin framework that integrates IoT, machine learning, mathematical modeling, and 3D visualization. To demonstrate the application of our framework, we conducted an experimental study focused on modeling the energy production of PV panels. To this end, we developed a mathematical model and 3D visualization and compared the performance of online and offline learning models. According to the machine learning results, LSTM was the most successful model (MSE: 0.0002). When online learning (MSE: 0.05) was compared with offline learning (MSE: 0.06), online learning demonstrated better performance in predicting energy production. The findings indicate that our digital twin framework could be a robust basis for energy management systems.
This paper presents an immersive extended reality (XR) based digital twin (DT) system designed for a hydrogen pipeline test facility, combining real-time data visualization with interactive virtual navigation. Employi...
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ISBN:
(数字)9798331514846
ISBN:
(纸本)9798331525637
This paper presents an immersive extended reality (XR) based digital twin (DT) system designed for a hydrogen pipeline test facility, combining real-time data visualization with interactive virtual navigation. Employing 3D pipeline models and a point-and-teleport locomotion method with orientation specifications, the system enables efficient exploration of the physical pipeline facility’s virtual counterpart. Preliminary feedback from field experts highlights the system’s potential to provide effective navigation and reduce cognitive fatigue through the visualization of the sensor data.
Hand gesture interaction in Mixed Reality (MR) has become increasingly accessible thanks to improved hand tracking and software toolkits. This progress is driven by a clear motivation to extend hand interaction in MR,...
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ISBN:
(数字)9798331514846
ISBN:
(纸本)9798331525637
Hand gesture interaction in Mixed Reality (MR) has become increasingly accessible thanks to improved hand tracking and software toolkits. This progress is driven by a clear motivation to extend hand interaction in MR, because our hands are natural and intuitive tools that we use in our everyday lives [3] .
Immersive visualization Laboratories (IVLs) have existed for over 50 years, highlighting the longevity of these laboratories. While there are some reviews and reports on long-term IVLs, there is little research on the...
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ISBN:
(数字)9798331514846
ISBN:
(纸本)9798331525637
Immersive visualization Laboratories (IVLs) have existed for over 50 years, highlighting the longevity of these laboratories. While there are some reviews and reports on long-term IVLs, there is little research on the workflows within such a center. One major factor that contributes to maintaining an IVL are workflows. While there are many ways to create immersive visualizations (IVs), few laboratories report on their workflows for creating their IVs. Based on prior research and experience maintaining an IVL and different workflows, we present our current workflow for an IVL. Our goal is to report our process, so that it may aid a broad audience, people who are interested in creating an IVL, and start a conversation between IVL experts.
Visual computing is an indispensable tool in biology, revolutionizing the way researchers interact with complex biological data. The integration of high-resolution Virtual Reality offers rich visualization experience,...
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ISBN:
(数字)9798331514846
ISBN:
(纸本)9798331525637
Visual computing is an indispensable tool in biology, revolutionizing the way researchers interact with complex biological data. The integration of high-resolution Virtual Reality offers rich visualization experience, crucial for advancing our knowledge in areas such as genomics, proteomics, and cellular biology. Recent VR-based biological visualization often deploys lower-resolution Head Mounted Displays (HMDs), limiting the observation of fine structural detail. Moreover, the simultaneous exploration of multiple datasets in an interactive manner is still a research challenge. This work presents an interactive 3D reconstruction and visualization system for biological data in ultra-high-definition VR. The system supports volume rendering, flexible rendering, and the simultaneous visualization of multiple datasets, all within an 8K VR environment. Intricate cellular and subcellular structures as well as detailed protein folding patterns and subtle variations in tissue density are visualized, critical for accurate medical diagnosis and research. Our system’s performance is evaluated based on loading time, frames per second, and device latency, while handling large biological datasets. A think aloud study provided expert feedback.
In this work, we introduce two interactive virtual reality (VR) applications, so-called Immersive Inscribed Spaces, for researching Written Artefacts in our interdisciplinary projects. We discuss the potential of usin...
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ISBN:
(数字)9798331514846
ISBN:
(纸本)9798331525637
In this work, we introduce two interactive virtual reality (VR) applications, so-called Immersive Inscribed Spaces, for researching Written Artefacts in our interdisciplinary projects. We discuss the potential of using VR to access historical cultural heritage sites and how the immersive experience facilitates individual perception of Written Artefacts. For this novel context, we explore potential use cases and present our implemented features for the VR applications. Furthermore, we examine two major challenges: (1) Spatial interaction and (2) visualization of spatial information. Finally, we describe how we integrated improvements into our applications, based on our research results.
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