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检索条件"机构=Stream Data Analytics and Machine Learning lab"
133 条 记 录,以下是101-110 订阅
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Assessing Personality Traits of Team Athletes in Virtual Reality
Assessing Personality Traits of Team Athletes in Virtual Rea...
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Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE Conference on
作者: Markus Wirth Stefan Gradl Wolfgang A. Mehringer Richard Kulpa Hannes Rupprecht Dino Poimann Annemarie F. Laudanski Bjoern M. Eskofier Machine Learning & Data Analytics Univ. of Erlangen-Nürnberg (FAU) Erlangen Germany MM2S Lab University Rennes 2 Rennes France FC Red Bull Salzburg Academy Salzburg Austria Department of Kinesiology University of Waterloo Waterloo Ontario Canada
Assessment of personality traits is highly relevant in team sports in order to analyze the performance of an athlete under pressure when in competitive situations, for team-strategic decisions, to optimize command tra... 详细信息
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Synchronized sensor insoles for clinical gait analysis in home-monitoring applications
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Current Directions in Biomedical Engineering 2018年 第1期4卷 433-437页
作者: Roth, Nils Martindale, Christine F. Gaßner, Heiko Kohl, Zacharias Klucken, Jochen Eskofer, Bjoern M. Machine Learning and Data Analytics Lab. Department of Computer Science Friedrich-Alexander-University Erlangen-Nürnberg (FAU) Erlangen Germany Department of Molecular Neurology University Hospital Erlangen Germany
Wearable sensor systems are of increasing interest in clinical gait analysis. However, little information about gait dynamics of patients under free living conditions is available, due to the challenges of integrating... 详细信息
来源: 评论
ViPR: Visual-odometry-aided pose regression for 6DoF camera localization
arXiv
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arXiv 2019年
作者: Ott, Felix Feigl, Tobias Löffler, Christoffer Mutschler, Christopher Nürnberg Germany Programming Systems Group FAU Erlangen-Nürnberg Germany Machine Learning and Data Analytics Lab FAU Erlangen-Nürnberg Germany
Visual Odometry (VO) accumulates a positional drift in long-term robot navigation tasks. Although Convolutional Neural Networks (CNNs) improve VO in various aspects, VO still suffers from moving obstacles, discontinuo... 详细信息
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Complementary App-Based Yoga Home Exercise Therapy for Patients With Axial Spondyloarthritis: Usability Study
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JMIR Formative Research 2024年 8卷 e57185页
作者: Grube, Lara Petit, Pascal Vuillerme, Nicolas Nitschke, Marlies Nwosu, Obioma Bertrand Knitza, Johannes Krusche, Martin Seifer, Ann-Kristin Eskofier, Bjoern Schett, Georg Morf, Harriet Department of Internal Medicine 3- Rheumatology & Immunology Universitätsklinikum Erlangen Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Germany Deutsches Zentrum Immuntherapie Universitätsklinikum Erlangen Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Germany AGEIS Université Grenoble Alpes Grenoble France Institut Universitaire de France Paris France LabCom Telecom4Health Orange Labs & Université Grenoble Alpes CNRS Inria Grenoble France Machine Learning and Data Analytics Lab Department Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Germany Institute for Digital Medicine University Hospital of Giessen and Marburg Philipps-University Marburg Marburg Germany III. Department of Medicine University Medical Center Hamburg-Eppendorf Hamburg Germany Translational Digital Health Group Institute of AI for Health German Research Center for Environmental Health Helmholtz Zentrum München Neuherberg Germany
Background: Axial spondyloarthritis (AS) is a chronic inflammatory rheumatic disease characterized by potentially disabling inflammation of the spine and adjacent joints. Regular exercise is a cornerstone of treatment... 详细信息
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A Digital Twin to overcome long-time challenges in Photovoltaics
arXiv
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arXiv 2023年
作者: Lüer, Larry Peters, Marius Smith, Ana Sunčana Dorschky, Eva Eskofier, Bjoern M. Liers, Frauke Franke, Jörg Sjarov, Martin Brossog, Matthias Guldi, Dirk Maier, Andreas Brabec, Christoph J. Friedrich-Alexander-Universität Erlangen-Nürnberg Martensstrasse 7 Erlangen91058 Germany Immerwahrstraße 2 Erlangen91058 Germany PULS Group Department of Physics Friedrich-Alexander-Universität Erlangen-Nürnberg IZNF Erlangen Germany Division of Physical Chemistry Ruđer Bošković Institute Bijenička cesta 54 Zagreb Croatia Machine Learning and Data Analytics Lab Friedrich-Alexander-Universität Erlangen-Nürnberg Carl-Thiersch-Straße 2b Bayern Erlangen91052 Germany Friedrich-Alexander-Universität Erlangen-Nürnberg Cauerstr. 11 Erlangen91058 Germany Friedrich-Alexander-Universität Erlangen-Nürnberg Egerlandstr. 7 Erlangen91058 Germany Department of Chemistry and Pharmacy Friedrich-Alexander-Universität Erlangen-Nürnberg Egerlandstr. 3 Erlangen91058 Germany Informatics Department Friedrich-Alexander-Universität Erlangen-Nürnberg Martenstr. 3 Erlangen91058 Germany
The recent successes of emerging photovoltaics (PV) such as organic and perovskite solar cells are largely driven by innovations in material science. However, closing the gap to commercialization still requires signif... 详细信息
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Harnessing multimodal approaches for depression detection using large language models and facial expressions
npj Mental Health Research
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npj Mental Health Research 2024年 第1期3卷 1-14页
作者: Sadeghi, Misha Richer, Robert Egger, Bernhard Schindler-Gmelch, Lena Rupp, Lydia Helene Rahimi, Farnaz Berking, Matthias Eskofier, Bjoern M. Machine Learning and Data Analytics Lab (MaD Lab) Department Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen 91052 Germany Chair of Visual Computing (LGDV) Department of Computer Science Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen 91058 Germany Chair of Clinical Psychology and Psychotherapy (KliPs) Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen 91052 Germany Translational Digital Health Group Institute of AI for Health Helmholtz Zentrum München - German Research Center for Environmental Health Neuherberg 85764 Germany
Detecting depression is a critical component of mental health diagnosis, and accurate assessment is essential for effective treatment. This study introduces a novel, fully automated approach to predicting depression s...
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Unsupervised harmonic frequency-based gait sequence detection for Parkinson's disease
Unsupervised harmonic frequency-based gait sequence detectio...
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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)
作者: Martin Ullrich Julius Hannink Heiko Gaßner Jochen Klucken Bjoern M. Eskofier Felix Kluge Machine Learning and Data Analytics Lab University of Erlangen-Nürnberg (FAU) Erlangen Germany Portabiles HealthCare Technologies GmbH Erlangen Germany Department of Molecular Neurology University Hospital Erlangen Erlangen Germany
Sensor-based gait analysis is a valuable tool in diagnosis and assessment of Parkinson's disease. Especially for large data sets, efficient analysis pipelines are required. Pre-segmentation of long time series int... 详细信息
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Increasing the robustness of the automatic IMU calibration for lower Extremity Motion Analysis
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Current Directions in Biomedical Engineering 2018年 第1期4卷 439-442页
作者: Küderle, Arne Becker, Sebastian Disselhorst-Klug, Catherine Machine Learning and Data Analytics Lab. University of Erlangen-Nürnberg (FAU) Carl-Thiersch-Strasse 2b Erlangen Germany Department of Rehabilitation and Prevention Engineering Institute of Applied Medical Engineering RWTH Aachen University Aachen Germany
With the advances of IMU-based human motion tracking, joint angle tracking in an home environment has become a realistic goal. Achieving it, could enable novel applications in rehabilitation and sports medicine. Howev... 详细信息
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Correction: contactless radar-based heart rate Estimation in palliative care- a feasibility study and possible use in symptom management
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BMC palliative care 2025年 第1期24卷 113页
作者: Stefan G Grießhammer Anke Malessa Hui Lu Julia Yip Julie Leuschner Florian Christgau Nils C Albrecht Marie Oesten Thanh Truc Tran Robert Richer Maria Heckel Bjoern M Eskofier Alexander Koelpin Tobias Steigleder Christoph Ostgathe Department of Palliative Medicine Universitätsklinikum Erlangen Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen Germany. stefan.griesshammer@uk-erlangen.de. Department of Palliative Medicine Universitätsklinikum Erlangen Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen Germany. Institute of High-Frequency Technology Hamburg University of Technology (TUHH) Hamburg Germany. Chair of Electronics and Sensor Systems Brandenburg University of Technology Cottbus-Senftenberg Cottbus Germany. Machine Learning and Data Analytics Lab Friedrich-Alexander- Universität Erlangen-Nürnberg (FAU) Erlangen Germany.
来源: 评论
Lessons Learned from Assessing Trustworthy AI in Practice
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Digital Society 2023年 第3期2卷 1-25页
作者: Vetter, Dennis Amann, Julia Bruneault, Frédérick Coffee, Megan Düdder, Boris Gallucci, Alessio Gilbert, Thomas Krendl Hagendorff, Thilo van Halem, Irmhild Hickman, Eleanore Hildt, Elisabeth Holm, Sune Kararigas, Georgios Kringen, Pedro Madai, Vince I. Wiinblad Mathez, Emilie Tithi, Jesmin Jahan Westerlund, Magnus Wurth, Renee Zicari, Roberto V. Computational Vision and Artificial Intelligence Lab Goethe University Frankfurt Frankfurt Am Main Germany Z-Inspection® Initiative Venice Italy Health Ethics and Policy Lab ETH Zurich Zurich Switzerland Strategy and Innovation Careum Foundation Zurich Switzerland Philosophie Departement Collège André-Laurendeau Montréal Canada École Des Médias Université du Québec À Montréal Montréal Canada Department of Medicine Division of Infectious Diseases and Immunology New York University Grossman School of Medicine New York City USA Department of Computer Science University of Copenhagen Copenhagen Denmark Digital Life Initiative Cornell Tech New York City USA Cluster of Excellence “Machine Learning: New Perspectives for Science” University of Tuebingen Tuebingen Germany School of Law University of Bristol Bristol UK Center for the Study of Ethics in the Professions Illinois Institute of Technology Chicago USA Department of Business Management and Analytics Arcada University of Applied Sciences Helsinki Finland Department of Food & Resource Economics University of Copenhagen Copenhagen Denmark Department of Physiology Faculty of Medicine University of Iceland Reykjavik Iceland QUEST Centre for Responsible Research Berlin Institute of Health Charité Universitätsmedizin Berlin Berlin Germany Faculty of Computing Engineering and the Built Environment School of Computing and Digital Technology Birmingham City University Birmingham UK Parallel Computing Labs Intel Santa Clara USA School of Economics Innovation and Technology Kristiania University College Oslo Norway Data Science Graduate School Seoul National University Seoul South Korea
Building artificial intelligence (AI) systems that adhere to ethical standards is a complex problem. Even though a multitude of guidelines for the design and development of such trustworthy AI systems exist, these gui...
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