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Your Face, Your Anatomy: Flashcard Lenses Enriched with Knowledge Maps for Anatomy Education

Your Face, Your Anatomy: Flashcard Lenses Enriched with Know...

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International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Inês M. Lúcio Renata G. Raidou Pedro Rodrigues Daniel Simões Lopes ITI/LARSyS Instituto Superior Técnico Universidade de Lisboa Portugal Institute of Visual Computing and Human-Centered Technology TU Wien Austria Egas Moniz School of Health and Science Portugal

ISBN: (数字)9798331516475

ISBN: (纸本)9798331516482

Traditional anatomy flashcards, with their recognizable static illustrations on the front side and comprehensive lists of concepts on the back, are a long-standing tool for memorizing and refreshing anatomical concepts. This study repurposes such established tool by introducing two key elements: (i) Augmented Reality (AR) lenses acting as magic mirrors enabling users to view anatomical illustrations mapped onto their own faces, and (ii) a knowledge map layer acting as the card’s backside to visually and explicitly illustrate conceptual connections between anatomical reference points. Using Snapchat’s Lens Studio, we crafted a deck of interactive facial anatomy flashcards to assess the potential of AR and knowledge maps for retaining and refreshing anatomical concepts. We conducted a user study involving 44 university-level students. Divided into two groups, participants utilized either flashcard lenses with knowledge maps or traditional flashcards to quickly grasp and refresh anatomical concepts. By employing an approach that integrates anatomical quizzes for objective assessment with surveys and interviews for subjective feedback, our results indicate that anatomy flashcard lenses with knowledge maps offer a more engaging educational experience, yielding higher user preferences and satisfaction levels compared to traditional flashcards. While both approaches showed similar effectiveness in quiz scores, anatomy flashcard lenses with knowledge maps were favored for their usability, significantly reducing temporal demand. These findings underscore the engaging and effective nature of anatomy flashcard lenses with knowledge maps, highlighting them as an alternative tool for the quick retention and review of anatomical concepts.

关键词： Surveys visualization Social networking (online) Education Anatomy Web sites Usability Faces Augmented reality Lenses

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Semi-Autonomous, Virtual Reality Based Robotic Telemanipulation for the Execution of Peg-In-Hole Assembly Tasks

Semi-Autonomous, Virtual Reality Based Robotic Telemanipulat...

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IEEE-RAS International Conference on humanoid Robots

作者： Shifei Duan Francesco De Pace Felipe Padula Sanches Haodan Jiang Minas Liarokapis Department of Mechanical and Mechatronics Engineering New Dexterity research group The University of Auckland New Zealand VR&AR Research Unit Institute of Visual Computing and Human-Centered Technology TU Wien Austria

ISBN: (数字)9798350373578

ISBN: (纸本)9798350373585

Robotic arms demonstrate superior speed and precision when performing tasks in challenging environments. However, creating fully autonomous robots remains challenging, particularly for tasks that demand the kind of subtle perception and complex decision-making that humans use naturally. This paper investigates the integration of Virtual Reality (VR) with robotic telemanipulation, aiming to boost cooperation between humans and robots in the execution of peg-in-hole assembly tasks. The introduced semi-autonomous framework utilizes visual object detection technology to identify the types and 6D poses of objects, offering affordances to the user. The robot autonomously plans its movement toward the designated goal location before switching to the real-time telemanipulation scheme. This allows the user to either approve the pre-determined task execution plan or take over the robot control and make necessary adjustments. Following a comparative user study between the proposed framework and a pure telemanipulation system, the effectiveness of this approach is evaluated and demonstrated.

关键词： visualization Robot control Decision making humanoid robots Virtual reality Switches Object detection Manipulators Real-time systems Assembly

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2D Points Curve Reconstruction Survey and Benchmark

2D Points Curve Reconstruction Survey and Benchmark

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43rd Annual Conference on European Association for Computer Graphics, EUROGRAPHICS 2022

作者： Ohrhallinger, S. Peethambaran, J. Parakkat, A.D. Dey, T.K. Muthuganapathy, R. Institute of Visual Computing and Human-Centered Technology TU Wien Austria Department of Math and Computing Science Saint Mary's University Halifax Canada Department of Computer Science and Engineering Indian Institute of Technology Guwahati India Department of Computer Science Purdue University IN United States Department of Engineering Design Indian Institute of Technology Madras India

ISBN: (纸本)9783038681724

Curve reconstruction from unstructured points in a plane is a fundamental problem with many applications that has generated research interest for decades. Involved aspects like handling open, sharp, multiple and non-manifold outlines, run-time and provability as well as potential extension to 3D for surface reconstruction have led to many different algorithms. We survey the literature on 2D curve reconstruction and then present an open-sourced benchmark for the experimental study. Our unprecedented evaluation of a selected set of planar curve reconstruction algorithms aims to give an overview of both quantitative analysis and qualitative aspects for helping users to select the right algorithm for specific problems in the field. Our benchmark framework is available online to permit reproducing the results and easy integration of new algorithms. © 2022 The Author(s) Eurographics Proceedings © 2022 The Eurographics Association.

关键词： Surveys

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A tool for semi-automatic ground truth annotation of traffic videos

A tool for semi-automatic ground truth annotation of traffic...

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2020 Autonomous Vehicles and Machines Conference, AVM 2020

作者： Groh, Florian Schörkhuber, Dominik Gelautz, Margrit Institute of Visual Computing and Human Centered Technology TU Wien Vienna Austria

We have developed a semi-automatic annotation tool - "CVL Annotator"- for bounding box ground truth generation in videos. Our research is particularly motivated by the need for reference annotations of challenging nighttime traffic scenes with highly dynamic lighting conditions due to reflections, headlights and halos from oncoming traffic. Our tool incorporates a suite of different state-of-the-art tracking algorithms in order to minimize the amount of human input necessary to generate high-quality ground truth data. We focus our user interface on the premise of minimizing user interaction and visualizing all information relevant to the user at a glance. We perform a preliminary user study to measure the amount of time and clicks necessary to produce ground truth annotations of video traffic scenes and evaluate the accuracy of the final annotation results. © 2020, Society for Imaging Science and technology.

关键词： User interfaces

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PrimitivePose: 3D Bounding Box Prediction of Unseen Objects via Synthetic Geometric Primitives

PrimitivePose: 3D Bounding Box Prediction of Unseen Objects ...

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IEEE International Conference on Robotic computing (IRC)

作者： Andreas Kriegler Csaba Beleznai Markus Murschitz Kai Göbel Margrit Gelautz Vision Automation and Control AIT Austrian Institute of Technology Vienna Austria Visual Computing and Human-Centered Technology TU Wien Vienna Austria

ISBN: (纸本)9781665472616

This paper studies the challenging problem of 3D pose and size estimation for multi-object scene configurations from stereo views. Most existing methods rely on CAD models and are therefore limited to a predefined set of known object categories. This closed-set constraint limits the range of applications for robots interacting in dynamic environments where previously unseen objects may appear. To address this problem we propose an oriented 3D bounding box detection method that does not require 3D models or semantic information of the objects and is learned entirely from the category-specific domain, relying on purely geometric cues. These geometric cues are objectness and compactness, as represented in the synthetic domain by generating a diverse set of stereo image pairs featuring pose annotated geometric primitives. We then use stereo matching and derive three representations for 3D image content: disparity maps, surface normal images and a novel representation of disparity-scaled surface normal images. The proposed model, PrimitivePose, is trained as a single-stage multi-task neural network using any one of those representations as input and 3D oriented bounding boxes, object centroids and object sizes as output. We evaluate PrimitivePose for 3D bounding box prediction on difficult unseen objects in a tabletop environment and compare it to the popular PoseCNN model-a video showcasing our results can be found at: https://***/2pccumvt.

关键词： Solid modeling Three-dimensional displays Annotations Computational modeling Semantics Streaming media Rendering (computer graphics)

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Programming Robot Animation Through human Body Movement

Programming Robot Animation Through Human Body Movement

引用

IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO

作者： Helena Anna Frijns Darja Stoeva Oliver Schürer Margrit Gelautz Faculty of Mechanical and Industrial Engineering Institute of Management Science TU Wien Vienna Austria Faculty of Informatics Institute of Visual Computing and Human-Centered Technology TU Wien Vienna Austria Faculty of Architecture and Planning Institute of Architectural Sciences TU Wien Vienna Austria

ISBN: (数字)9798350344639

ISBN: (纸本)9798350344646

The aim of our work is to make it easier for non-programmers to program robot motion. We designed a system that translates human motion to motion of a (virtual and physical) humanoid Pepper robot. The system enables programming robot animations using pose-matching imitation of human motion. We developed a prototype that implements recording functionality, evaluated the prototype, and revised the system architecture based on feedback from participants with expertise in dance or programming the Pepper robot. We extend a conceptual design space for computer animation by including a physical robot. On the basis of this design space and the prototype development, we describe interaction design considerations for robot animation systems that implement human-humanoid imitation systems.

关键词： Robot motion humanities Prototypes Systems architecture humanoid robots human-robot interaction Programming

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Hybrid Personalization Using Declarative and Procedural Memory Modules of the Cognitive Architecture ACT-R 25

Hybrid Personalization Using Declarative and Procedural Memo...

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Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization

作者： Kevin Innerebner Dominik Kowald Markus Schedl Elisabeth Lex Institute of Human-Centred Computing Graz University of Technology Graz Austria FAIR-AI Know Center Research GmbH Graz Austria and Institute of Human-Centred Computing Graz University of Technology Graz Austria Institute of Computational Perception Johannes Kepler University Linz Linz Austria and Human-centered Artificial Intelligence Linz Institute of Technology AI Lab Linz Austria

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CUDA and Applications to Task-based Programming

CUDA and Applications to Task-based Programming

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42nd Annual Conference on European Association for Computer Graphics, EUROGRAPHICS 2021

作者： Kenzel, M. Kerbl, B. Winter, M. Steinberger, M. Saarland University Computer Graphics Lab Germany TU Wien Institute of Visual Computing and Human-Centered Technology Austria Graz University of Technology Institute of Computer Graphics and Vision Austria

ISBN: (纸本)9783038681359

Since its inception, the CUDA programming model has been continuously evolving. Because the CUDA toolkit aims to consistently expose cutting-edge capabilities for general-purpose compute jobs to its users, the added features in each new version reflect the rapid changes that we observe in GPU architectures. Over the years, the changes in hardware, growing scope of built-in functions and libraries, as well as an advancing C++ standard compliance have expanded the design choices when coding for CUDA, and significantly altered the directives to achieve peak performance. In this tutorial, we give a thorough introduction to the CUDA toolkit, demonstrate how a contemporary application can benefit from recently introduced features and how they can be applied to task-based GPU scheduling in particular. For instance, we will provide detailed examples of use cases for independent thread scheduling, cooperative groups, and the CUDA standard library, libcu++, which are certain to become an integral part of clean coding for CUDA in the near future. © 2021 The Author(s).

关键词： Scheduling

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Towards Differentiating Between Failures and Domain Shifts in Industrial Data Streams

Towards Differentiating Between Failures and Domain Shifts i...

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2024 Workshop on Embracing human-Aware AI in Industry 5.0, HAII5.0 2024

作者： Wojak-Strzelecka, Natalia Bobek, Szymon Nalepa, Grzegorz J. Stefanowski, Jerzy Jagiellonian Human-Centered AI Lab Mark Kac Center for Complex Systems Research Institute of Applied Computer Science Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University ul. prof. Stanislawa Lojasiewicza 11 Krakow30-348 Poland Institute of Computing Science Poznań University of Technology Poznań60-965 Poland

Anomaly and failure detection methods are crucial in identifying deviations from normal system operational conditions, which allows for actions to be taken in advance, usually preventing more serious damages. Long-lasting deviations indicate failures, while sudden, isolated changes in the data indicate anomalies. However, in many practical applications, changes in the data do not always represent abnormal system states. Such changes may be recognized incorrectly as failures, while being a normal evolution of the system, e.g. referring to characteristics of starting the processing of a new product, i.e. realizing a domain shift. Therefore, distinguishing between failures and such"healthy" changes in data distribution is critical to ensure the practical robustness of the system. In this paper, we propose a method that not only detects changes in the data distribution and anomalies but also allows us to distinguish between failures and normal domain shifts inherent to a given process. The proposed method consists of a modified Page-Hinkley changepoint detector for identification of the domain shift and possible failures and supervised domain-adaptation-based algorithms for fast, online anomaly detection. These two are coupled with an explainable artificial intelligence (XAI) component that aims at helping the human operator to finally differentiate between domain shifts and failures. The method is illustrated by an experiment on a data stream from the steel factory. © 2024 Copyright for this paper by its authors.

关键词： Data streams

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Exploring Time Series Segmentations Using Uncertainty and Focus+Context Techniques

Exploring Time Series Segmentations Using Uncertainty and Fo...

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22nd Eurographics/IEEE VGT Conference on visualization, EuroVis 2020

作者： Bors, C. Eichner, C. Miksch, S. Tominski, C. Schumann, H. Gschwandtner, T. Institute of Visual Computing and Human-Centered Technology TU Wien Austria Institute for Visual and Analytic Computing University of Rostock Germany

ISBN: (纸本)9783038681069

Time series segmentation is employed in various domains and continues to be a relevant topic of research. A segmentation pipeline is composed of different steps involving several parameterizable algorithms. Existing visual Analytics approaches can help experts determine appropriate parameterizations and corresponding segmentation results for a given dataset. However, the results may also be afflicted with different types of uncertainties. Hence, experts face the additional challenge of understanding the reliability of multiple alternative the segmentation results. So far, the influence of uncertainties in the context of time series segmentation could not be investigated. We present an uncertainty-aware exploration approach for analyzing large sets of multivariate time series segmentations. The approach features an overview of uncertainties and time series segmentations, while detailed exploration is facilitated by (1) a lens-based focus+context technique and (2) uncertainty-based re-arrangement. The suitability of our uncertainty-aware design was evaluated in a quantitative user study, which resulted in interesting findings of general validity. © 2020 The Author(s)

关键词： Uncertainty analysis

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