Automatic group emotion recognition plays an important role in understanding complex human-human interaction. This paper introduces, Emolysis, a Python-based, standalone open-source group emotion analysis toolkit for ...
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Integrating real-time sensor data into Building information Models (BIM) has been a game changer in the field of facility management and building energy optimization. BIM and real-time sensor data plays a crucial role...
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The rapid advancement in scientific simulations and experimental facilities has resulted in the generation of vast amounts of data at unprecedented scales. The analysis and visualization of large amounts of data is a ...
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ISBN:
(数字)9798350365610
ISBN:
(纸本)9798350365627
The rapid advancement in scientific simulations and experimental facilities has resulted in the generation of vast amounts of data at unprecedented scales. The analysis and visualization of large amounts of data is a challenge in and of itself, but the requirements for timeliness significantly magnify these difficulties. Near real-time visualization is critical to monitor and analyze the data produced by these large facilities, but current production tools are not well-suited to these requirements. In this position paper, we share our perspective on some of the challenges, and thus, opportunities for research that stand in the way of near-real-time visualization of large scientific data.
Major depressive disorder (MDD) and bipolar disorder (BD) are two major mood disorders with partly overlapped symptoms but different treatments. However, their misdiagnosis and mistreatment are common based on the DSM...
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ISBN:
(数字)9781728127828
ISBN:
(纸本)9781728127828
Major depressive disorder (MDD) and bipolar disorder (BD) are two major mood disorders with partly overlapped symptoms but different treatments. However, their misdiagnosis and mistreatment are common based on the DSM-V criteria, lacking objective and quantitative indicators. This study aimed to develop a novel approach that accurately classifies MDD and BD based on their resting-state magnetoencephalography (MEG) signals during euthymic phases. A revisited 3D CNN model, Semi-CNN, that could automatically detect brainwave patterns in spatial, temporal, and frequency domains was implemented to classify wavelet-transformed MEG signals of normal controls and MDD and BD patients. The model achieved a test accuracy of 96.05% and an average of 95.71% accuracy for 5-fold cross-validation. Furthermore, saliency maps of the model were estimated using Grad-CAM++ to visualize the proposed classification model and highlight disease-specific brain regions and frequencies.
The proceedings contain 34 papers. The topics discussed include: scientific convergence and divergence in visualization and visual analytics;digital twins of smart farms;automatic segmentation of tooth images: optimiz...
ISBN:
(纸本)9783038681854
The proceedings contain 34 papers. The topics discussed include: scientific convergence and divergence in visualization and visual analytics;digital twins of smart farms;automatic segmentation of tooth images: optimization of multi-parameter image processing workflow;explorative visual analysis of spatio-temporal regions to detect hemodynamic biomarker candidates;visually explaining publication ranks in citation-based literature search with PURE suggest;visualizing the evolution of multi-agent game-playing behaviors;visual exploration of genetic sequence variants in pangenomes;interactive visualization of machine learning model results predicting infection risk;a design space for explainable ranking and ranking models;visual queries on bipartite multivariate dynamic social networks;validating perception of hyperspectral textures in virtual reality systems;situated visualization in motion for video games;and using data comics to enhance visualization literacy.
Online laboratories provide an important tool for industrial electronics disciplines. This paper explores web analytics and visualization on a web-based online laboratory platform based on access data. Web analytics i...
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Interpreting 3D information from 2D slices of data points is a no-toriously difficult process, especially in the medical field with its use of scan imaging. This dissertation aims to apply and assess the advantages of...
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ISBN:
(数字)9798350374490
ISBN:
(纸本)9798350374506
Interpreting 3D information from 2D slices of data points is a no-toriously difficult process, especially in the medical field with its use of scan imaging. This dissertation aims to apply and assess the advantages of virtual reality (VR) for exploring volumetric visualization of medical images and enable efficient generation of explicit, unambiguous surface models. I will evaluate the effects of stereoscopic viewing on different methods of volumetric data visualizations, experiment with tool development to increase 3D modeling accessibility, and an expert review of the overall system design we refer to as Scan2Twin.
It is estimated that spinal cord injuries affect approximately 2.5 million people worldwide leaving them unable to perform activities of daily living. However, until the advent of lower limb exoskeletons, the wearer w...
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ISBN:
(纸本)9781665496070
It is estimated that spinal cord injuries affect approximately 2.5 million people worldwide leaving them unable to perform activities of daily living. However, until the advent of lower limb exoskeletons, the wearer was unable to perform everyday activities such as walking and standing from a static position. A lower- limb exoskeleton is a wearable device encompassing the body to support the neuromuscular system's structural and functional features to assist paraplegic patients with activities of daily living. In this work, a novel, lightweight, and human friendly exoskeleton is designed and analyzed that adapts to the wearer according to his body configuration and allows him to perform 2 DOF movements during walking. Lower Limb exoskeleton is designed in CAD software's according to anthropomorphic requirements that ensures safety and ergonomics. The designed exoskeleton is modeled analytically using the Lagrangian approach and simulated using FEA software's to ensure the structural stability and visualize the motion of the exoskeleton in a virtual environment. From the results, it can be concluded that the proposed exoskeleton can be used for rehabilitation and walking purposes. The simulated results and diagrams of the gait cycle will be important for the development of a physical exoskeleton prototype. The study provides the basis for the development of a prototype lower limb exoskeleton to assist the disabled and elderly in standing and walking.
visualization of hand movement is an important part of many haptic experiences. While some existing simulators allow for hand kinematic visualization using a generic hand model, they target robotic grasp planning rath...
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ISBN:
(纸本)9781665418713
visualization of hand movement is an important part of many haptic experiences. While some existing simulators allow for hand kinematic visualization using a generic hand model, they target robotic grasp planning rather than haptic applications. We aim to fill this gap with cHand, an extension of the haptics software library CHAI3D, which augments it with built-in hand kinematic visualization capabilities. A representation of the hand can be achieved with elementary geometric elements, or with custom geometries loaded from STL files. A live data visualization demo is included, which can be used as a template for other applications. We release cHand as an open source contribution to keep with the open source nature of CHAI3D.
The field of information technology is rapidly evolving, setting high standards for the academic education of future specialists. In order to meet this new demand, the authors would like to present a virtual network l...
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ISBN:
(数字)9781665451703
ISBN:
(纸本)9781665451703
The field of information technology is rapidly evolving, setting high standards for the academic education of future specialists. In order to meet this new demand, the authors would like to present a virtual network laboratory that provides university teaching staff with the flexibility to adapt both the content and methods to keep the lab up-to-date. This virtual lab was developed based on Graphical Network Simulator 3 (GNS3) and includes an integrated learning concept and assignments. It is called the "Virtual Internet Device Abstractions of Reality lab" (VIDAR(1)-lab for short) and will be used for part of the course Communication Networks at the Technical University Berlin. VIDAR lab uses the approach of virtualising the network hardware in order to keep the level of abstraction as low as possible, while still ensuring realistic practice-oriented work. VIDAR lab employs the concepts of blended learning and Project-based Learning (PBL) to provide an interesting introduction to the topic of networks and the Internet for undergraduate students with the assistance of smart micro methods. The lab is designed to be used both in an online format for remote teaching of hands-on activities and to be held as a PBL-based lab with the traditional way of teaching in Science, technology, engineering, and mathematics (STEM) education. The developed VIDAR lab was tested and evaluated with ten volunteers to ensure the quality of the didactic design and the applicability of GNS3 as a learning solution. The volunteers provided positive feedback on the developed lab, describing the learning experience as effective and enjoyable.
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