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EMF-Med World Conference on Biomedical Applications of Electromagnetic Fields

作者： Babak Dabiri Razlighi Stefan Kampusch Stefan H. Geyer Van Hoang Le Florian Thurk Simon Brenner Jozsef Constantin Szeles Wolfgang J. Weninger Eugenijus Kaniusas Institute of Electrodynamics Microwave and Circuit Engineering Vienna University of Technology Division of Anatomy MIC Medical University of Vienna Institute of Visual Computing & Human-Centered Technology Computer Vision Lab Vienna University of Technology Department for Vascular Surgery University Clinic for Surgery Medical University of Vienna

ISBN: (纸本)9781538659229

Auricular branch of vagus nerve stimulation is continuously evolving as a minimal-invasive treatment option in patients suffering from chronic pain. For optimization of stimulation mechanisms, we conducted insilico modelling of the electrode-tissue-nerve interface by a thorough literature review of the anatomical structures combined with nerve and vessel structures from episcopic images of a human ear. Four nerves and two vessels in the ear were implemented in a 3D CAD model for future optimization of stimulation regions and patterns. Mean diameters for nerves were 30 μm, and for vessels 100 μm. Mean distance between nerves and vessels was about 100 μm.

关键词： Auricular Vagus Nerve Stimulation In-Silico Modelling Episcopic Imaging

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BottlePrint: Scaling Personal Fabrication by Embedding Ready-Made Objects 9

BottlePrint: Scaling Personal Fabrication by Embedding Ready...

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9th Ph. D. Retreat of the HPI Research School on Service-oriented Systems Engineering

作者： Kovacs, Robert Human Computer Interaction Lab. Hasso-Plattner-Institut Germany

ISBN: (纸本)9783869563459

BottlePrint is a fabrication system that allows users to produce large-scale objects on desktop-scale fabrication ma-chines. The key idea behind bottlePrint is to complement 3D printing with ready-made objects, in our case empty plastic bottles. BottlePrint considers 3D models as wireframe models;it then fabricates only the hubs of this wireframe model, while it implements all edges as bottles. The resulting large-scale objects are sturdy enough to carry human users. We present a furniture set with table and chairs, a truss strong enough to bridge a 3m gap while a human walks on it, and a functional boat sealed with tarp that seats two. To extend our approach to even larger ob-jects we fabricate hubs on a laser-cutter, which speeds up fabrication by another factor of 20. This allowed us to fabricate a 12 m2 tent. Benefits of our approach include (1) Scale: bottlePrint allows 3D printing of large-scale objects on desktop-scale devices. (2) Speed: as the bulk of the objects volume is ready-made. (3) Environ¬mentally conscious: as materials can be up-cycled. (4) Ubiquitous: since plastic bottles can be acquired anywhere worldwide, users setting up large installations elsewhere can travel lightly, carrying only the hubs. © 2016 Universitatsverlag Potsdam. All rights reserved.

关键词： Plastic bottles

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Kinematic Sensitivity Evaluation of Revolute and Prismatic 3-DOF Delta Robots

Kinematic Sensitivity Evaluation of Revolute and Prismatic 3...

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RSI/ISM International Conference on Robotics and Mechatronics (ICROM)

作者： Behzad Mehrafrooz Mohsen Mohammadi Mehdi Tale Masouleh Human and Robot Interaction Lab. University of Tehran Tehran Iran School of Electrical and Computer Engineering. University of Tehran Tehran Iran

ISBN: (纸本)9781538657041

The Delta parallel robot establishes itself as one of the most successful parallel robot designs thanks to its intrinsic properties. Generally, based on the type of actuator, the 3-DOF Delta robot falls into two groups, namely, revolute-input and prismatic-input. The main aim of this paper consists in evaluating and comparing the kinematic performance of the two foregoing types of Delta robots. So far, different kinematic sensitivity indices have been proposed. In this paper, by employing different kinematic sensitivity indices such as manipulability, dimensionally kinematic sensitivity and weighted kinematic sensitivity indices. the kinetostatic performance of the aforementioned robots are compared over a certain workspace. The obtained results showed that the sensitivity of prismatic Delta robot is high in the center of the workspace and the sensitivity increases when the end-effector moves to edges from the center. However sensitivity of the revolute Delta robot is totally different. It is high on the edges and it decreases by moving to center. weighted kinematic sensitivity results show that geometrical features of the robots are very important and it changes the sensitivity values and trend greatly. Moreover, in order to enhance the kinematic performance of the robots, the configuration of the robots are redesigned using optimization of the kinematic sensitivity indices. The results of this paper revealed that kinematic sensitivity indices can be employed in the design step of the robot to reach an optimal kinematic sensitivity in the workspace.

关键词： Kinematics Sensitivity Robot sensing systems Jacobian matrices Service robots Manipulators

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Technology for underserved communities;personal fabrication: Expert-curated guides to the best of CS research

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Queue 2017年第2期15卷

作者： Bailis, Peter Dillahunt, Tawanna Mueller, Stefanie Baudisch, Patrick Department of Computer Science Stanford University United States University of Michigan's School of Information United States MIT's Electrical Engineering Computer Science Department United States Department of Computer Science Hasso Plattner Institute Potsdam University Germany Department of the Human Computer Interaction Lab. United States

Research for Practice combines the resources of the ACM Digital Library, the largest collection of computer science research in the world, with the expertise of the ACM membership. In every RfP column two experts share a short curated selection of papers on a concentrated, practically oriented topic. Copyright © 2017 held by owner/author. Publication rights licensed to ACM.

关键词： Digital libraries

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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

arXiv

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arXiv 2021年

作者： Mehta, Raghav Filos, Angelos Baid, Ujjwal Sako, Chiharu McKinley, Richard Rebsamen, Michael Dätwyler, Katrin Meier, Raphael Radojewski, Piotr Murugesan, Gowtham Krishnan Nalawade, Sahil Ganesh, Chandan Wagner, Ben Yu, Fang F. Fei, Baowei Madhuranthakam, Ananth J. Maldjian, Joseph A. Daza, Laura Gómez, Catalina Arbeláez, Pablo Dai, Chengliang Wang, Shuo Reynaud, Hadrien Mo, Yuanhan Angelini, Elsa Guo, Yike Bai, Wenjia Banerjee, Subhashis Pei, Linmin Murat, A.K. Rosas-González, Sarahi Zemmoura, Ilyess Tauber, Clovis Vu, Minh H. Nyholm, Tufve Löfstedt, Tommy Ballestar, Laura Mora Vilaplana, Veronica McHugh, Hugh Talou, Gonzalo Maso Wang, Alan Patel, Jay Chang, Ken Hoebel, Katharina Gidwani, Mishka Arun, Nishanth Gupta, Sharut Aggarwal, Mehak Singh, Praveer Gerstner, Elizabeth R. Kalpathy-Cramer, Jayashree Boutry, Nicolas Huard, Alexis Vidyaratne, Lasitha Rahman, Md Monibor Iftekharuddin, Khan M. Chazalon, Joseph Puybareau, Elodie Tochon, Guillaume Ma, Jun Cabezas, Mariano Llado, Xavier Oliver, Arnau Valencia, Liliana Valverde, Sergi Amian, Mehdi Soltaninejad, Mohammadreza Myronenko, Andriy Hatamizadeh, Ali Feng, Xue Dou, Quan Tustison, Nicholas Meyer, Craig Shah, Nisarg A. Talbar, Sanjay Weber, Marc-André Mahajan, Abhishek Jakab, Andras Wiest, Roland Fathallah-Shaykh, Hassan M. Nazeri, Arash Milchenko, Mikhail Marcus, Daniel Kotrotsou, Aikaterini Colen, Rivka Freymann, John Kirby, Justin Davatzikos, Christos Menze, Bjoern Bakas, Spyridon Gal, Yarin Arbel, Tal McGill University MontrealQC Canada Group University of Oxford Oxford United Kingdom University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine The University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States University Institute of Diagnostic and Interventional Neuroradiology University of Bern Inselspital Bern University Hospital Bern Switzerland Department of Radiology University of Texas Southwestern Medical Center DallasTX United States Department of Bioengineering University of Texas DallasTX United States Advanced Imaging Research Center University of Texas Southwestern Medical Center DallasTX United States Universidad de los Andes Bogotá Colombia Data Science Institute Imperial College London London United Kingdom NIHR Imperial BRC ITMAT Data Science Group Imperial College London London United Kingdom Department of Brain Sciences Imperial College London London United Kingdom Machine Intelligence Unit Indian Statistical Institute Kolkata India Department of CSE University of Calcutta Kolkata India Department of Information Technology Uppsala University Uppsala Sweden Department of Diagnostic Radiology The University of Pittsburgh Medical Center PittsburghPA United States UMR U1253 iBrain Université de Tours Inserm Tours France Department of Radiation Sciences Umeå University Umeå Sweden Department of Computing Science Umeå University Umeå Sweden Signal Theory and Communications Department Universitat Politècnica de Catalunya Barcelona Tech Barcelona Spain Faculty of Medical and Health Sciences University of Auckland Auckland New Zealand Radiology Department Auckland City Hospital Auckland New Zealand Auckland Bioengineering Institute University of Auckland New Zealand Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology

Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges. However, the task of focal pathology multi-compartment segmentation (e.g., tumor and lesion sub-regions) is particularly challenging, and potential errors hinder translating DL models into clinical workflows. Quantifying the reliability of DL model predictions in the form of uncertainties could enable clinical review of the most uncertain regions, thereby building trust and paving the way toward clinical translation. Several uncertainty estimation methods have recently been introduced for DL medical image segmentation tasks. Developing scores to evaluate and compare the performance of uncertainty measures will assist the end-user in making more informed decisions. In this study, we explore and evaluate a score developed during the BraTS 2019 and BraTS 2020 task on uncertainty quantification (QU-BraTS) and designed to assess and rank uncertainty estimates for brain tumor multi-compartment segmentation. This score (1) rewards uncertainty estimates that produce high confidence in correct assertions and those that assign low confidence levels at incorrect assertions, and (2) penalizes uncertainty measures that lead to a higher percentage of under-confident correct assertions. We further benchmark the segmentation uncertainties generated by 14 independent participating teams of QU-BraTS 2020, all of which also participated in the main BraTS segmentation task. Overall, our findings confirm the importance and complementary value that uncertainty estimates provide to segmentation algorithms, highlighting the need for uncertainty quantification in medical image analyses. Finally, in favor of transparency and reproducibility, our evaluation code is made publicly available at https://***/RagMeh11/QU-BraTS. © 2021, CC BY.

关键词： Benchmarking

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Automated news generation for TV program ratings 16

Automated news generation for TV program ratings

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3rd ACM International Conference on Interactive Experiences for TV and Online Video, TVX 2016

作者： Kim, Soomin Oh, JongHwan Lee, Joonhwan Human-Computer Interaction and Design Lab. Seoul National University Korea Republic of

ISBN: (纸本)9781450340670

Automated journalism, automatically generating stories based on algorithms, has received considerable critical attention in diverse fields. However, automated journalism has not addressed the TV industry in much detail. This research aims to create a system to automatically generate news about TV ratings. The framework will involve undergoing the processes of data gathering, identifying important events by predefined algorithms, generating a story in narrative format, and publishing the output. The algorithm that determines the structure of the stories is defined by analyzing existing news about TV ratings that reflects key variables. Although the output of the research is limited to one type of news template, further attempts could expand to various formats. Copyright is held by the owner/author(s).

关键词： Automation

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Personal fabrication

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Communications of the ACM 2017年第10期60卷 48-49页

作者： Mueller, Stephanie Baudisch, Patrick MIT's Electrical Engineering and Computer Science Department United States MIT CSAIL United States Hasso Plattner Institute Potsdam University Germany Human Computer Interaction Lab United States

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Emotional ratings and skin conductance response to visual, auditory and haptic stimuli

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Scientific data 2018年第1期5卷 180120页

作者： Elia Gatti Elena Calzolari Emanuela Maggioni Marianna Obrist Sussex Computer Human Interaction (SCHI) Lab School of Engineering and Informatics University of Sussex Brighton UK. Imperial College London UK.

The human emotional reactions to stimuli delivered by different sensory modalities is a topic of interest for many disciplines, from human-computer-interaction to cognitive sciences. Different databases of stimuli eliciting emotional reaction are available, tested on a high number of participants. Interestingly, stimuli within one database are always of the same type. In other words, to date, no data was obtained and compared from distinct types of emotion-eliciting stimuli from the same participant. This makes it difficult to use different databases within the same experiment, limiting the complexity of experiments investigating emotional reactions. Moreover, whereas the stimuli and the participants' rating to the stimuli are available, physiological reactions of participants to the emotional stimuli are often recorded but not shared. Here, we test stimuli delivered either through a visual, auditory, or haptic modality in a within participant experimental design. We provide the results of our study in the form of a MATlab structure including basic demographics on the participants, the participant's self-assessment of his/her emotional state, and his/her physiological reactions (i.e., skin conductance).

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Performing play: Cultural production on ***

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34th Annual CHI Conference on human Factors in Computing Systems, CHI EA 2016

作者： Pellicone, Anthony University of Maryland Human-Computer Interaction Lab College ParkMD20740 United States

ISBN: (纸本)9781450340823

Digital games are a major part of the global economy, and participation in gaming cultures can lead to informal learning in computer science and technology. However, recent news stories highlight the often toxic attitudes that gamers have towards marginalized populations participating in, and having a voice regarding game culture. A valuable lens into game culture that may help us to understand its operations is in an increasingly popular practice: streaming gameplay for others on platforms like ***. My dissertation aims to understand the performance of play using mixed methodologies, informed by a sociological approach called field analysis. The proposed research aims to understand the performance of play in terms of the individual, the spaces that support the practice, and the relations of power within the wider economic field of digital games. © 2016 Authors.

关键词： computer games

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How to be Helpful? Supportive Behaviors and Personalization for human-Robot Collaboration

arXiv

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arXiv 2017年

作者： Mangin, Olivier Roncone, Alessandro Scassellati, Brian Social Robotics Lab Computer Science Department Yale University New HavenCT United States Human Interaction and Robotics Group Computer Science Department University of Colorado Boulder BoulderCO United States

The field of human-Robot Collaboration (HRC) has seen a considerable amount of progress in recent years. Thanks in part to advances in control and perception algorithms, robots have started to work in increasingly unstructured environments, where they operate side by side with humans to achieve shared tasks. However, little progress has been made toward the development of systems that are truly effective in supporting the human, proactive in their collaboration, and that can autonomously take care of part of the task. In this work, we present a collaborative system capable of assisting a human worker despite limited manipulation capabilities, incomplete model of the task, and partial observability of the environment. Our framework leverages information from a high-level, hierarchical model that is shared between the human and robot and that enables transparent synchronization between the peers and mutual understanding of each other’s plan. More precisely, we firstly derive a partially observable Markov model from the high-level task representation;we then use an online Monte-Carlo solver to compute a short-horizon robot-executable plan. The resulting policy is capable of interactive replanning on-the-fly, dynamic error recovery, and identification of hidden user preferences. We demonstrate that the system is capable of robustly providing support to the human in a realistic furniture construction task. Copyright © 2017, The Authors. All rights reserved.

关键词： Markov processes

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