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ANTENNA: Visual Analytics of Mobility Derived from Cellphone Data 17th

ANTENNA: Visual Analytics of Mobility Derived from Cellphone...

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17th International Joint conference on computer Vision, imaging and computer graphics Theory and Applications (VISIGRAPP) / 17th International conference on computer Vision Theory and Applications (VISAPP)

作者： Silva, Pedro Macas, Catarina Correia, Joao Machado, Penousal Polisciuc, Evgheni Univ Coimbra Dept Informat Engn CISUC Coimbra Portugal

ISBN: (纸本)9783031457241;9783031457258

Nowadays, it is possible to characterise, visualise, and analyse urban mobility using digital footprints, in particular, cellphones. However, movement patterns from vast heterogeneous datasets must be parsed, filtered, and aggregated using dynamic and scalable methods. ANTENNA, is a visual analytic tool that depicts trajectories of movement gathered from mobile cellphone data, enabling the discovery and analysis of its patterns. The data is processed in real time, transforming raw records of cellphone connections into trajectories, that can be used to infer mass movements of crowds. The proposed visualisation tool is prepared to deal with different analytical scenarios, presenting distinct visualisation strategies for various ranges of tasks. We conducted user testing with experts from many fields to validate ANTENNA. According to the results, ANTENNA proved to be beneficial for each one of the tested scenarios.

关键词： Urban mobility Flow visualisation Spatio-temporal data Origin-destination visualisation Visual analytics

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Data visualisation on a mobile app for real-time mental health monitoring 27

Data visualisation on a mobile app for real-time mental heal...

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27th International conference on Information visualisation (IV) / 19th International conference computer graphics, imaging and Visualization (CGiV)

作者： Gomes, Nuno Pato, Matilde Lourenco, Andre Marcelo, Renato Santos, Pedro Datia, Nuno Politecn Lisboa Lisbon Sch Engn ISEL Lisbon Portugal NOVA Sch Sci & Technol NOVA LINCS Monte De Caparica Portugal Univ Lisbon LASIGE FCUL Lisbon Portugal

ISBN: (纸本)9798350341614

Anxiety disorders refer to mental health conditions characterized by excessive and persistent worry, fear or dread, which can interfere with daily life. These disorders are pervasive worldwide but can be treated with psychotherapy, medication, or both. Detecting them in time is key to avoid further severe development after an initial crisis. In this paper, we present a solution based on self-monitoring, using wearables, smartphones and Machine Learning (ML) to assess users' anxiety and panic levels. This is the first paper to embrace and present a visualisation system for mental health focused on patients. User studies support the solution's quality. With this system, patients are empowered to control their situation better, helping the medical staff to get more insight into when and where a crisis occurs.

关键词： Data visualisation Machine Learning Telemonitoring Mental Health

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Australian Animal Species Selection and Image Data Collection 27

Australian Animal Species Selection and Image Data Collectio...

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27th International conference on Information visualisation (IV) / 19th International conference computer graphics, imaging and Visualization (CGiV)

作者： Zhang, Qianqian Ahmed, Khandakar Sharda, Nalin Wang, Hua Victoria Univ ISILC Melbourne Vic Australia

ISBN: (纸本)9798350341614

Using computer image-processing technology for animal identification has improved labour-intensive agriculture and animal husbandry efficiency and accuracy. Additionally, camera traps have provided researchers with abundant biodiversity and wildlife habitat conservation data. However, despite these advancements, there is still a need for taxonomic rank-based animal classification studies, and fewer datasets are available to train AI models based on taxonomic ranks. The importance of taxonomy was ignored by researchers and dataset creators in previous animal classification studies, which is the basis and prerequisite of classifying wild animal images. To this end, this paper presents a dataset labelled with the taxonomic ranking. The dataset is focused on Australian animals and includes 47 taxonomically significant animal species, each with a maximum of 600 manually labelled images. This dataset will contribute significantly to the field of animal identification, as it provides researchers and practitioners with a valuable tool to improve the efficiency and accuracy of animal identification, which can have significant implications for agriculture, animal husbandry, biodiversity research, and wildlife conservation.

关键词： animals identification computer vision

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RespVis: A D3 Extension for Responsive SVG Charts 27

RespVis: A D3 Extension for Responsive SVG Charts

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27th International conference on Information visualisation (IV) / 19th International conference computer graphics, imaging and Visualization (CGiV)

作者： Andrews, Keith Egger, David Oberrauner, Peter Graz Univ Technol Graz Austria

ISBN: (纸本)9798350341614

RespVis is an open-source JavaScript library which extends D3 to support the creation of responsive SVG charts. Each chart is a composite SVG document, whose elements can be positioned and styled with CSS. Chart authors can use CSS media queries and CSS Flexbox and Grid syntax to (re)position chart components such as title, legend, axes, and the chart itself in a responsive way. Example charts illustrate how to implement other responsive patterns using CSS and JavaScript, such as rotating labels, thinning out tick marks, or flipping a chart by 90 degrees. RespVis is implemented in TypeScript as an extension of D3. It uses a novel custom layouter to enable the various SVG chart components to be positioned via CSS layout mechanisms, which are normally reserved for HTML elements.

关键词： responsive visualisation chart SVG CSS flexbox grid component layout pattern D3 TypeScript

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Visual Analysis of Voice in Crossover Singing 27

Visual Analysis of Voice in Crossover Singing

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27th International conference on Information visualisation (IV) / 19th International conference computer graphics, imaging and Visualization (CGiV)

作者： Hua, Jie Yi, Wei Shaoyang Univ Fac Informat Engn Shaoyang Hunan Peoples R China Macquarie Univ Dept MCCALL Sydney NSW Australia

ISBN: (纸本)9798350341614

The current research on acoustic properties in singing voice analysis has mainly focused on individual song segments, and analysed them using simple data tables and basic charts. However, there has been limited exploration of comparing data from multiple sources, and visual analysis in crossover singing has been either too simplistic or too complex to provide a comprehensive view. This study aims to address this gap by incorporating song segments from different musical styles and utilising an innovative graph drawing method to generate interactive graphs for comprehensive musical data analysis. The findings provide additional support for existing statements in the field of musical data analysis, and demonstrate the effectiveness of the proposed graph method for analysing multiple song segments. At this stage, the study's findings confirm that the formant frequency F-1 of singing across styles is less modified, but F-2-F-5 varies in styles singing in English. Additionally, the formant frequency in Mandarin and Cantonese singing may be associated with pitch. The study also identifies that visualised graphs can produce similar results as current vocal research and are convenient for reading multiple data simultaneously. The methodology has the potential to be extended to other areas of musical visualisation to uncover insights from complex music datasets.

关键词： Acoustic analysis crossover singing formant interaction multi-dimensional visualisation vocal visualisation

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Analyzing Spatio-Temporal Correlations with User-Oriented Guidance - An Interactive Visualization Approach for Demand-Oriented Limited Service Offers 27

Analyzing Spatio-Temporal Correlations with User-Oriented Gu...

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27th International conference on Information visualisation (IV) / 19th International conference computer graphics, imaging and Visualization (CGiV)

作者： Rolwes, Alexander Stockemer, Julian Boehm, Klaus Mainz Univ Appl Sci Inst Spatial Informat & Surveying Technol i3mainz Mainz Germany

ISBN: (纸本)9798350341614

GeoVisual Analytics often uses a wide range of visualization techniques in combination with human interactions. However, in order to improve urban planning decisions and expand the knowledge base about spatio-temporal correlations in cities, we identify high and sometimes difficult-to-overcome data and visualization complexity. Therefore, users need targeted support to reduce this complexity and understand complex multidimensional data. This paper proposes an interactive 3D visualization approach for analyzing spatiotemporal correlations. Effective visual explanations in user-oriented guidance with storytelling elements support this technique. We adapt the approach of flow maps to visualize both resulting correlations and the underlying density of possible destinations from an existing geoanalytical process. Our interactive step-by-step guidance with four narratives aims to create a balance between the author and the user. We evaluated our prototype with various domain experts. The evaluation confirms our approach and improves users' understanding of data and spatio-temporal correlations in urban areas.

关键词： GeoVisual Analytics Guidance Storytelling Spatio-Temporal Visualization Human-computer Interaction Urban Planning

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Brain Visualizer: A Tool for EEG Data Processing and 3D Brain Activity Visualization

Brain Visualizer: A Tool for EEG Data Processing and 3D Brai...

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International conference on Extended Reality (XR Salento)

作者： Balloni, Emanuele Pierdicca, Roberto Paolanti, Marina Santarnecchi, Emiliano Univ Politecn Marche Dept Informat Engn DII Via Brecce Bianche 12 I-60131 Ancona Italy Univ Politecn Marche Dept Civil Engn Bldg & Architecture DICEA Via Brecce Bianche 12 I-60131 Ancona Italy Univ Macerata Dept Polit Sci Commun & Int Relat Via Don Minzoni 22-A I-62100 Macerata Italy Harvard Med Sch 25 Shattuck St Boston MA 02115 USA Massachusetts Gen Hosp Precis Neurosci & Neuromodulat Program PNN Gordon Ctr Med Imaging 125 Nashua St Boston MA 02114 USA Massachusetts Gen Hosp Network Control Lab Gordon Ctr Med Imaging 125 Nashua St Boston MA 02114 USA

ISBN: (纸本)9783031717031;9783031717048

The ability to understand the complex architecture and dynamic functionality of the human brain is critical to the advancement of neuroscience research and clinical applications. Traditional 2D neuroimaging techniques often fall short in providing a comprehensive view of brain activity, particularly when attempting to correlate structural and functional data. This limitation affects our capacity to accurately diagnose and treat neurological disorders. To address this challenge, this paper describes the Brain Visualizer, a novel tool designed to process Electroencephalography (EEG) signals and Magnetic Resonance imaging (MRI) data to dynamically reconstruct and visualize brain activity in three dimensions. By integrating the high temporal resolution of EEG with the high spatial resolution of MRI, the Brain Visualizer provides a comprehensive and interactive representation of brain networks and tracts. The platform offers a user-friendly interface, advanced visualisation techniques and real-time interaction capabilities, making it a valuable resource for researchers, clinicians and educators. In addition, the tool has potential applications in the development of neuroadaptive systems and brain-computer interfaces, thereby advancing the field of neuroscience and improving the quality of life for people with disabilities.

关键词： Brain Visualization computer graphics EEG MRI 3D Brain Model Neuroimaging Brain-computer Interface

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Adaptive Micro-liter Fiducials for Pre-clinical MPI and MRI imaging 44

Adaptive Micro-liter Fiducials for Pre-clinical MPI and MRI ...

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44th Annual International conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

作者： Baer, Sebastien Buchholz, Oliver Von Elverfeldt, Dominik Hofmann, Ulrich G. Univ Freiburg Med Fac Freiburg Germany Univ Med Ctr Freiburg Dept Neurosurg Neuroelect Syst Freiburg Germany Univ Med Ctr Freiburg AMIR Dept Radiol Freiburg Germany

ISBN: (数字)9781728127828

ISBN: (纸本)9781728127828

Magnetic Particle imaging (MPI) allows to measure and quantify background-free tracer distribution with a high temporal resolution. Anatomical structures are not displayed in MPI, rendering orientation within a sample error-prone and necessitating co-registration with other imaging modalities such as MRI. To support this challenge, defined external landmarks (fiducials) made from materials visible in each of the imaging modalities respectively were used in this work. Resulting signals can be aligned with the merged image containing both anatomical data and information about the tracer distribution. Defining the optimal fiducial placement is demanding and can drastically impact the 3D MPI-MRI image presentation. Here we present an adaptable 3D-printed fiducial system for preclinical co-registration of MRI and MPI data designed for easy visualisation.

关键词： Magnetic particle imaging Three-dimensional displays Image resolution Magnetic resonance imaging Data visualization Rendering (computer graphics) Particle measurements

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ImmVis: Bridging Data Analytics and Immersive visualisation 16

ImmVis: Bridging Data Analytics and Immersive Visualisation

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16th International Joint conference on computer Vision, imaging and computer graphics Theory and Applications (VISIGRAPP) / 12th International conference on Information Visualization Theory and Applications (IVAPP)

作者： Pedroso, Felipe Augusto Paro Costa, Paula Dornhofer Univ Estadual Campinas Sch Elect & Comp Engn Dept Comp Engn & Automat DCA UNICAMP Campinas SP Brazil

ISBN: (纸本)9789897584886

One of the significant issues from the visualisation field is choosing the appropriate tool to conduct a research project or experiment. The Immersive Analytics (IA) field is no different but found support on game engines and web technologies to create their solutions, frameworks and toolkits. While these technologies solve problems like rendering and interaction, they do not offer functionalities to enable data analysis inside immersive environments. This paper presents ImmVis, a novel open-source framework that enables IA applications to benefit from the data analysis capabilities from Python programming language well-established libraries. The framework is enabled to work with different platforms and programming languages and can be used to complement the capabilities of existing IA tools, empowering them to offer more sophisticated data analysis functionalities.

关键词： Immersive Analytics Data Analysis Virtual Reality Visual Analytics

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Cybersecurity for SMEs: Introducing the Human Element into Socio-technical Cybersecurity Risk Assessment 16

Cybersecurity for SMEs: Introducing the Human Element into S...

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作者： Boletsis, Costas Halvorsrud, Ragnhild Pickering, J. Brian Phillips, Stephen Surridge, Mike SINTEF Digital Oslo Norway Univ Southampton IT Innovat Ctr Southampton Hants England

ISBN: (纸本)9789897584886

Small and medium-sized enterprises (SMEs) rarely conduct a thorough cyber-risk assessment and they may face various internal issues when attempting to set up cyber-risk strategies. In this work, we apply a user journey approach to model human behaviour and visually map SMEs' practices and threats, along with a visualisation of the socio-technical actor network, targeted specifically at the risks highlighted in the user journey. By using a combination of cybersecurity-related visualisations, our goals are: i) to raise awareness about cybersecurity, and ii) to improve communication among IT personnel, security experts, and non-technical personnel. To achieve these goals, we combine two modelling languages: Customer Journey Modelling Language (CJML) is a visual language for modelling and visualisation of work processes in terms of user journeys. System Security Modeller (SSM) is an asset-based risk-analysis tool for socio-technical systems. By demonstrating the languages' supplementary nature through a threat scenario and considering related theories, we believe that there is a sound basis to warrant further validation of CJML and SSM together to raise awareness and handle cyber threats in SMEs.

关键词： Cybersecurity Modelling Socio-technical Risk Assessment User Journey visualisation

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