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Vorlesungsverzeichnis >> Medizinische Fakultät (Med) >>

  Advanced Context Recognition (ACR)

Dozentinnen/Dozenten
Prof. Dr. Oliver Amft, und Mitarbeiter/innen

Angaben
Seminar
Online
4 SWS, benoteter Schein, Anwesenheitspflicht, ECTS-Studium, ECTS-Credits: 5, Sprache Englisch
Zeit:

Voraussetzungen / Organisatorisches
First meeting/Vorbesprechung via Zoom: Date and link coming soon

ECTS-Informationen:
Credits: 5

Contents
ACR introduces and discusses current scientific topics in context recognition (i.e. identifying and describing a situation or state of the environment in the computer) from sensor data, including time series data and image data. Each term, new projects and medical applications are offered for the participating students to choose from. Learning objectives of the seminar are in the field of machine learning and pattern recognition and remain the same across all projects. The learning objectives are supported by practical implementation and validation of context recognition stacks in a project/application selected by the student.
Learning objectives:
  • Understand current scientific topics in context recognition of time series and image data.

  • Apply machine learning and pattern recognition algorithms in context recognition.

This term's project topics will include (for details on each project please see https://www.cdh.med.fau.de/category/work-study/courses/ws2021-22):

  • 3D motion modelling from wearables

  • Framework development for motion data synthesis

  • Transfer Learning Strategies to Classify Audio Datasets

  • Agent Simulators for Individual Behavior

  • Cardiac Biomarker Estimation in Anorexia Nervosa

  • Earables in Automated Dietary Monitoring and Digital Health

  • Design of Database and Labelling Tool for Context Recognition Tasks

The seminars will be introduced during the first meeting/Vorbesprechung. The date and link to the first meeting will be announced soon.

Literature
Up-to-date literature recommendations will be provided during the seminars.

Zusätzliche Informationen
Schlagwörter: ACR
Erwartete Teilnehmerzahl: 20, Maximale Teilnehmerzahl: 20
Für diese Lehrveranstaltung ist eine Anmeldung erforderlich.
Die Anmeldung erfolgt über: StudOn

Verwendung in folgenden UnivIS-Modulen
Startsemester WS 2021/2022:
Advanced Context Recognition (ACR)

Institution: Lehrstuhl für Digital Health
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