ErgoExplorer: Interactive Ergonomic Risk Assessment from Video Collections

Ergonomic risk assessment is now, due to an increased awareness, carried out more often than in the past. The conventional risk assessment evaluation, based on expert-assisted observation of the workplaces and manually filling in score tables, is still predominant. Data analysis is usually done with a focus on critical moments, although without the support of contextual information and changes over time. In this paper we introduce ErgoExplorer, a system for the interactive visual analysis of risk assessment data. In contrast to the current practice, we focus on data that span across multiple actions and multiple workers while keeping all contextual information. Data is automatically extracted from video streams. Based on carefully investigated analysis tasks, we introduce new views and their corresponding interactions. These views also incorporate domain-specific score tables to guarantee an easy adoption by domain experts. All views are integrated into ErgoExplorer, which relies on coordinated multiple views to facilitate analysis through interaction. ErgoExplorer makes it possible for the first time to examine complex relationships between risk assessments of individual body parts over long sessions that span multiple operations. The newly introduced approach supports analysis and exploration at several levels of detail, ranging from a general overview, down to inspecting individual frames in the video stream, if necessary. We illustrate the usefulness of the newly proposed approach applying it to several datasets.Fil: Massiris, Manlio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; ArgentinaFil: Rados, Sanjin. VRVis Research Center In Vienna, Austria; AustriaFil: Matkovic, Kresimir. VRVis Research Center; AustriaFil: Groller, M. Eduard. Technische Universitat Wien; AustriaFil: Delrieux, Claudio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentin

Interactive Visual Analysis of Structure-borne Noise Data

Numerical simulation has become omnipresent in the automotive domain, posing new challenges such as high-dimensional parameter spaces and large as well as incomplete and multi-faceted data. In this design study, we show how interactive visual exploration and analysis of high-dimensional, spectral data from noise simulation can facilitate design improvements in the context of conflicting criteria. Here, we focus on structure-borne noise, i.e., noise from vibrating mechanical parts. Detecting problematic noise sources early in the design and production process is essential for reducing a product's development costs and its time to market. In a close collaboration of visualization and automotive engineering, we designed a new, interactive approach to quickly identify and analyze critical noise sources, also contributing to an improved understanding of the analyzed system. Several carefully designed, interactive linked views enable the exploration of noises, vibrations, and harshness at multiple levels of detail, both in the frequency and spatial domain. This enables swift and smooth changes of perspective; selections in the frequency domain are immediately reflected in the spatial domain, and vice versa. Noise sources are quickly identified and shown in the context of their neighborhood, both in the frequency and spatial domain. We propose a novel drill-down view, especially tailored to noise data analysis. Split boxplots and synchronized 3D geometry views support comparison tasks. With this solution, engineers iterate over design optimizations much faster, while maintaining a good overview at each iteration. We evaluated the new approach in the automotive industry, studying noise simulation data for an internal combustion engine.Comment: Accepted for IEEE VIS 2022 and IEEE TVC

Evolutionary diversity optimization using multi-objective indicators

Evolutionary diversity optimization aims to compute a set of solutions that are diverse in the search space or instance feature space, and where all solutions meet a given quality criterion. With this paper, we bridge the areas of evolutionary diversity optimization and evolutionary multi-objective optimization. We show how popular indicators frequently used in the area of multi-objective optimization can be used for evolutionary diversity optimization. Our experimental investigations for evolving diverse sets of TSP instances and images according to various features show that two of the most prominent multi-objective indicators, namely the hypervolume indicator and the inverted generational distance, provide excellent results in terms of visualization and various diversity indicators.Aneta Neumann, Wanru Gao, Markus Wagner, Frank Neuman

Análisis visual en geología

Los geólogos usualmente trabajan con rocas que tienen edades oscilando entre pocos a miles de millones de años. Uno de los objetivos es tratar de reconstruir los ambientes geológicos donde se formaron las rocas y la sucesión de eventos que las afectaron desde su formación a fin de comprender la evolución geológica de la Tierra, identificar regiones donde se localizan depósitos minerales de interés económico, recursos de combustibles, etc. Para alcanzar estos objetivos, recolectan información y muestras de rocas y minerales en el campo, En particular estos últimos son analizados en laboratorio con instrumentos para obtener datos geoquímicos de minerales, como por ejemplo de los que conforman el grupo del espinelo. Dada la gran cantidad de datos generados, los científicos se ven obligados a analizar grandes volúmenes de información para arribar a conclusiones basadas en datos objetivos. El flujo del trabajo de análisis de los geólogos incluye el uso tedioso de varias herramientas y métodos manuales relativamente complejos y propensos a errores para comparar diferentes gráficos y tablas. Para mejorarlo, los integrantes de este proyecto desarrollaron un framework de análisis visual de datos geológicos. Una realimentación muy positiva de los expertos del dominio sobre éste y el gran potencial de mejoramiento motiva esta línea de trabajo

Interactive Calibration of the Mapping of Global Illumination Values to Display Devices

. A different approach to mapping the global illumination values to display devices is introduced. The final image is displayed with appropriate atmosphere, thereby the luminances in absolute units are not needed, what makes the method suitable for a wide range of rendering software. The method is inspired by the photographers' approach. The results strongly depend on user setting, thus making the method completely subjective. 1. Introduction Every rendering process has two steps. The first is computing the luminance values, and the second is mapping those values to ones adequate for displaying with common display devices. A lot of research has been done on the first step, but just a few deal with the second one. The most common method of mapping luminance values to display device values is applying a linear scale factor which maps the average value to 0.5, assuming a device with linear response and input range of 0 to 1. There are also other methods used, such as mapping the largest ..

Graph Visualization Using Hierachical Edge Routing and Bundling

Driven by rapidly growing application areas such as semantic knowledge bases and social networks, visualization of large graphs has been gaining importance recently. A large amount of nodes and intersecting edges presents a major challenge for usability and aesthetics, and may also pose a scalability problem. Edge routing and bundling methods proved useful for reducing clutter, while hierarchical techniques, besides providing the basis for level of detail rendering, also address scalability. We present work in progress which combines hierarchical techniques with edge routing and bundling methods, and utilizes their respective advantages. The proposed graph visualization method employs hierarchical aggregation of graph nodes and edges, and applies edge routing and bundling along the hierarchy to reduce clutter and improve the clarity of the representation