Skip to main content
FAU.de
Friedrich-Alexander-Universität
  • Team
  • Research
  • Teaching
Friedrich-Alexander-Universität
Erlangen-Nürnberg
FAU Logo
  1. Start
  2. Start

Imprint

Website owner

Friedrich-Alexander-Universität Erlangen-Nürnberg

Freyeslebenstraße 1
91058 Erlangen
  • Email: poststelle@fau.de

Legal form and representation

Die Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) ist staatliche Einrichtung und zugleich Körperschaft des Öffentlichen Rechts nach Art. 4 Abs. 1 Bayerisches Hochschulinnovationsgesetz (BayHIG).

Friedrich-Alexander-Universität Erlangen-Nürnberg is legally represented by Präsident Prof. Dr. Joachim Hornegger.
For articles marked by name or with a separate imprint, the editorial responsibility lies with the respective authors.

Editorial responsibility

Machine Learning and Data Analytics Lab

Prof. Dr. Björn Eskofier

Nürnberger Straße 74
91052 Erlangen
  • Email: bjoern.eskofier@fau.de

Editorial and technical contacts

Rebecca Lennartz, Thanh Truc Tran

  • Email: mad-it@fau.de

Responsible controlling authority

Bayerisches Staatsministerium für Wissenschaft und Kunst

Salvatorstraße 2
80327 München
  • URL: https://www.stmwk.bayern.de/
  • Phone: +49 89 2186 0
  • Email: poststelle@ldbv.bayern.de

ID numbers

VAT identification number DE 132507686
Tax number 216/114/20045 (Finanzamt Mittelfranken-Ost)
DUNS number 327958716
EORI number DE4204891
Bank details: Account holder: Freistaat Bayern
IBAN: DE66700500000301279280
Bank: Bayerische Landesbank München
SWIFT/BIC-Code: BYLADEMMXXX

Report misuse of computers and network resources

Contact point for reporting misuse of computers and network resources.

IT-Sicherheit

  • URL: https://www.rrze.fau.de/abuse/

Postal address:

IT-Sicherheit
Martensstraße 1
91058 Erlangen

Copyright

Texts, images, graphics and the design of these websites may be subject to copyright.

As a private individual, you may use copyrighted material for private and other personal use within the scope of Section 53 of the Copyright Act (UrhG). Reproduction or use of these pages or parts thereof in other electronic or printed publications and their publication is only permitted with our consent. This consent is granted upon request by those responsible for the content. The reprint and evaluation of press releases and speeches is generally permitted provided the source is stated.

Furthermore, texts, images, graphics and other files may be subject in whole or in part to the copyright of third parties. Those responsible for the content will also provide you with more detailed information about the existence of possible third-party rights, provided that these rights are not already identified by corresponding notices on the website.

Exclusions

Exclusion of liability

This imprint only belongs to the following websites:
www.mad.tf.fau.de, www.mad.tf.uni-erlangen.de and www.mad.cs.fau.de

The operator has compiled and verified all information provided with great care. However, we cannot assume liability or furnish a guarantee that the data is correct, complete or up-to-date, or regarding the quality or constant availability of the information provided.

We will not be liable for any damages arising from computer viruses or the installation and use of software when accessing or downloading data from this website.

Websites credited to an author reflect the opinions and insights of that author.

The operator expressly reserves the right to change, amend or delete individual web pages, services or the entire website without prior notice or to interrupt or terminate the publication.

Links and references (disclaimer)

Cross-references (links) to the websites of other providers must be distinguished from our own content. Through these links we only enable access to the use of third-party content in accordance with Section 8 Telemediengesetz. When we first linked to these Internet offers, we checked this third-party content to see whether it could trigger any possible civil or criminal liability. However, we cannot constantly check this third-party content for changes and therefore cannot accept any responsibility for it. The respective provider of the site is solely liable for illegal, incorrect or incomplete content and in particular for damages resulting from the use or non-use of information from third parties.

Communications of information about violations according to the Whistleblower Protection Act

The internal reporting office under the Whistleblower Protection Act is open to all employees and other persons who have obtained information about possible legal violations in connection with their professional activities at the university. Former employees and applicants can also contact the reporting office. Reports will be treated confidentially.

Internal Reporting Office: Hinweisgebersystem der FAU

Machine Learning and Data Analytics Lab

Contact and Directions

Friedrich-Alexander-Universität Erlangen-Nürnberg
Department Artificial Intelligence in Biomedical Engineering
Nürnberger Straße 74
91052 Erlangen
Germany
  • Imprint
  • Privacy
  • Accessibility
  • Facebook
  • Twitter
  • Github
FAU Logo
Friedrich-Alexander-Universität
Erlangen-Nürnberg

Moving knowledge

FAU is the most innovative university in Germany, and second across Europe. Established in 1743, it is one of the largest universities in Germany, with approximately 40,000 students, over 600 professors and around 16,000 members of staff.

Prospective Students

Study, orientation, and degree programs

Students

Services, portals, and study information

Researchers

Research profile, academic career, and achievements

Partners

Collaborations, patents, and knowledge transfer

Services

Use Tab to navigate through menu items, Enter to select, Escape to close, or use the Close button.

No menu items found.

Structure

Use Tab to navigate through menu items, Enter to select, Escape to close, or use the Close button.
  1. Friedrich-Alexander University
  2. Faculty of Engineering
  3. Department of Artificial Intelligence in Biomedical Engineering
  • FAU
      • Faculty of Humanities, Social Sciences, and Theology
      • Department of Classical World and Asian Cultures
      • Department of English, American and Romance Studies
      • Department of Subject-specific Education Research
      • Department of German and Comparative Studies
      • Department of History
      • Department of Media Studies and Art History
      • Department of Education
      • Department of Psychology
      • Department of Social Sciences and Philosophy
      • School of Theology
      • Department of Islamic Religious Studies
      • Department of Sport Science and Sport
      • Department of Digital Humanities and Social Studies
      • Faculty of Business, Economics and Law
      • School of Law
      • School of Business, Economics and Society | WiSo
      • Faculty of Medicine
      • Institute of Anatomy
      • Institute of Physiology and Pathophysiology
      • Institute of Cellular and Molecular Physiology
      • Institute of Biochemistry
      • Institute of Medical Informatics, Biometry and Epidemiology
      • Institute of the History of Medicine and Medical Ethics
      • Institute of Forensic Medicine
      • Institute of Experimental and Clinical Pharmacology and Toxicology
      • Institute and Outpatient Clinic of Occupational, Social and Environmental Medicine
      • Institute of Biomedicine of Aging
      • Nikolaus Fiebiger Center of Molecular Medicine
      • Institute of Research and Teaching, Medizincampus Oberfranken
      • Faculty of Sciences
      • Department of Biology
      • Department of Chemistry and Pharmacy
      • Department of Geography and Geosciences
      • Department of Mathematics
      • Department of Physics
      • Department of Data Science
      • Faculty of Engineering
      • Department of Artificial Intelligence in Biomedical Engineering
      • Department of Chemical and Biological Engineering
      • Department of Electrical, Electronic and Communication Engineering
      • Department of Computer Science
      • Department of Mechanical Engineering
      • Department of Materials Science
    • University Library
    • Universitätsklinikum Erlangen
    • Regional Computer Center Erlangen (RRZE)
    • Bavaria California Technology Center (BaCaTeC)
    • Language Center
    • Center for Teacher Education
    • Graduate Center
    • Bavarian University Center for Latin America (BAYLAT)
    • Erlangen National High-Performance Computing Center (NHR)
    • New Materials and Processes (FAU NMP)
    • Medical Engineering (FAU MT)
    • Solar (FAU Solar)
    • Light.Matter.Quantum Technologies (FAU LMQ)
    • Immunomedicine (FAU I-MED)
    • Mathematics of Data (FAU MoD)
    • Embedded Systems Initiative (FAU ESI)
    • New Bioactive Compounds (FAU NeW)
    • Human Rights Erlangen-Nuremberg (FAU CHREN)
    • Islam and Law in Europe (FAU EZIRE)
    • Research Data and Information (FAU CDI)
    • Scientific Computing (FAU CSC)
    • Engineering of Advanced Materials (FAU EAM)
    • Optical Imaging Competence Center (FAU OICE)
    • Applied Philosophy of Science and Key Qualifications (FAU ZIWIS)
    • Eduction (FAU Education)
    • JOSEPHS
    • ZOLLHOF
    • d.hip – Digital Health Innovation Platform
    • Medical Valley Center
    • FAU Innovation Ecosystem

Website Menu

Use Tab to navigate through menu items, Enter to select, Escape to close, or use the Close button.
    • Cooperations
    • Maps and Directions
    • Open Positions
    • Ph.D. Gallery
    • Past Students
      • Artificial Intelligence in Medicine
      • Digital Health - Gait Analytics
      • Empatho-Kinaesthetic Sensor Technology (EmpkinS)
      • Health Data Science
      • Sports Analytics
      • Digital Health - Biosignals
        • Videos
      • Applied Machine Learning
      • Digital Health – PsychoSense
      • Deep Learning
      • Experimental Studies
      • Human-Computer Interaction (HCI)
      • Machine Learning
      • Musculoskeletal Modeling
      • Optimal Control
      • Signal Processing
      • Wearables
      • Activity Recognition using IMU sensors integrated in Hearing Aids
      • Adaptive AI Systems in Sport (BISS)
        • IMU-based Biomechanical Gait Analysis
        • IMU-based motion compensation in CT
        • Learning from Biomechanical Simulations
        • Virtual Footwear Design
      • Applications of Deep Learning for Signal Analysis
      • Assessment and Improvement of Mental Health
      • Automated curation of in-vivo recorded time series
      • Automated German Crossword Resolution
      • Autonomous Cranes
      • BayMED Sleep Project
      • Biofeedback Based Interaction for Manipulating Virtual Environments
      • Biologically-inspired self-supervised systems
      • Biomarkers for immunotherapy in multiple sclerosis patients
      • Biomechanical Assessment of Big Wave Surfing
      • BioPsyKit – A Python Package for the Analysis of Biopsychological Data
      • CARWatch – An Open-Source Framework for Improving Cortisol Awakening Response Sampling
      • Center for AI in Medicine
      • Connected Movement
        • Assessment of Macro Movements during Acute Psychosocial Stress
        • Assessment of Micro Movements during Acute Psychosocial Stress
        • openTSST – An open web platform for large-scale, video-based motion analysis during acute psychosocial stress
      • dAIbetes
      • DailyHeart
      • Data Mining in the U.S. National Toxicology Program (NTP) Database
        • The OnHW–chars Dataset
      • Development of Sensor System for Dry Training in Biathlon
      • Diagnostic Imaging in Virtual Reality
      • DIAMond - diabetes type 1 management with personalized recommendation using data science
      • DiGA-Incont
      • digiOnko
      • digiOnko - Mit digitaler Medizin gegen Brustkrebs
        • Physical Activity Assessment in Sports
        • Signal Analysis and Biofeedback
      • Digital Sports Hub
      • Digital Twin
      • Digital Twin for Clinical Trials
      • Digital Twin of Rheuma
      • Digital Twin of the Musculoskeletal System
      • Digital Vision Trainer
      • Digitalisierungskolleg - Applied Data Science in Digital Psychology
        • Algorithm Development -- SensorDataToolbox
        • Biomechanical investigation of gait phases
        • Deep Learning for Sensor-based Gait Analysis
        • Gait Analysis in Rodents
        • Mobile gait analysis for hereditary spastic paraplegia patients
        • Multimodal gait analysis of osteoarthritic gait
        • Quantifying Postural Instability in Parkinson's Disease
        • Sensor Insoles for Home-Monitoring Applications
      • Empathokinaesthetic Measurement and Movement Pattern Recognition as Biomarkers for Health Status and Prognosis of Palliative Care Patients (D05)
      • Empathokinesthetic sensors for biofeedback in depressed patients (D02)
        • Action Detection in Ball Sports
        • Activity Recognition and Event Detection in Table Tennis
        • Mobile Recording Systems
        • Modules for Telemedicine Systems
        • Sensor Hardware Development
      • FallRiskPD
      • Federated Machine Learning for Patient-Centered Electronic Health Records
        • Biomechanical Animated Skinned Human
        • Turning a Corner
      • Gait analysis in geriatrics using mobile sensor systems and machine learning
      • Holistic customer-oriented service optimization for fleet availability
      • HOOP: mHealth tOol for parkinsOn’s disease training and rehabilitation at Patient’s home
      • Individual Performance Prediction Using Musculoskeletal Modeling
      • Individual sport shoe recommendation through machine learning
      • Information management system for automated quality assessment in radiotherapy
      • InterFEARence – Contactless assessment of feared movements in persons with chronic back pain
        • Cold Face Test for Acute Psychosocial Stress Reduction
        • Evaluation of Tracking Systems
      • Machine Learning for CT-Detector Production
      • Machine Learning for Engineers II
      • Machine Learning for Neuromusculoskeletal Modelling (C03)
      • Machine Learning for Personalisation of Biomechanical Movement Simulations (C01)
      • Machine Learning For Predictive Analytics
      • Machine Learning in Health Psychology
      • Match data-based performance indicators in professional football
        • Physical Activity Assessment in Health
      • Mobile GaITLab
      • Mobilise-D: Connecting digital mobility assessment to clinical outcomes for regulatory and clinical endorsement
      • Mobility_APP
      • Monitoring of urban water demand for city trees
      • Motion-Tracking based digital health application for physical therapy
      • MotionLab@Home
      • MoveIT
      • Multimodal Machine Learning for Decision Support Systems
        • Salivary Markers for Water Loss Estimation during Physical Exercise
        • Sweat Analysis for Water Loss Estimation during Physical Exercise
        • Temperature-Based Bioimpedance Correction for Water Loss Estimation during Physical Exercise
        • stress+ - A web framework for the Remote Induction of Acute Psychosocial Stress
        • The Stroop Competition - A Social-Evaluative Stroop Test
      • Parkinson's disease symptom detection and prediction
      • Performance Analysis in Team Sports
      • Personalization of Muscoskeletal Models
      • Personalized running shoe recommendation using different data sources
      • Privacy-Preserving Analysis of Distributed Medical Data
      • Promoting Relaxation by Real-Time Mental State Recognition
      • RoboCup Small Size League
      • Security for Future Patient-centered Healthcare Ecosystem
      • SELFCURE: Evolutionary and cognitive processes underlying self-medication of immune-challenged bats
      • Sensor-based movement and sleep analysis in Parkinson's syndrome (D04)
      • SHIELD
      • SiTY
      • Smart Annotation using semi-supervised techniques
      • SMART Start
      • SWODDYS: Smart WOund Dressing incorporating Dye-based Sensors
      • TEAM-X
      • TEF-Health
      • TegrityHub
        • Approximation of the Gaussian RBF Kernel for Efficient Classification with SVMs
        • Classification on Embedded Systems
        • Optimal Feature Selection for Nonlinear Data using Branch-and-Bound in Kernel Space
      • Tool Tracking
      • Tracking in the Deutsche Museum Nürnberg
      • VERA (Video-based Re-Identification for Animals)
      • VR - Oculomotor Test System
      • VR Amblyopia Trainer
      • Green Belt ML@Operations
    • Current Studies
    • Publications
    • Datasets
    • GitLab Analyser
    • Student Courses
    • Student Theses and Jobs
      • AgriNova
      • Argus
      • ARTEFACTO
      • BAN - Body Area Network
      • blindAR
      • BOSS
      • BRAINIACS
      • Champtrack
      • ConduListen
      • ConnectEd
      • CoSy
      • Digioscope
      • Discov
      • DoliMo
      • DreamCation
      • Dungineers
      • Empalli
      • Extegy
      • fireSense
      • FLASH
      • GatewAI
      • GEOSENSE
      • Happy Plate
      • HeaR
      • HyGenius
      • InfektIQ
      • InOffice
      • Insecrecy
      • MadGolf
      • Myonitor
      • Office Heroes
      • OneSpot
      • OnTrack
      • Optifox
      • OsmXchange
      • OuiPan
      • Palley
      • PalliCare
      • PenMates
      • Pentalobes
      • RFtrack
      • RheoMotus
      • RheumASim
      • Safira
      • Safire
      • sensaid
      • SFB – Smart Foosball Table
      • Share A Ride
      • Smart City Greens
      • SmartBiathlon
      • smartER
      • SMASH
      • Spinson
      • SprintX
      • Stark - ARchitecture
      • Stracking
      • Stress+
      • SURGICORE
      • swimolution
      • SyCaS
      • Traffix
      • TransfuSure
      • TreeTelligent
      • UMEDRICS
      • vc-motion
      • Visitronix
      • VitalSense
      • Watchstock
      • WaveFlow
      • YogiTherapy

Search

Use Tab to navigate through menu items, Enter to select, Escape to close, or use the Close button.

Search all pages and documents: