Seminar: Advanced Context Recognition

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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.


Project typeSeminar
ECTSFor seminars: 2.5, 5, 7.5, default: 5
PeriodSummer term 2024
Presence timeVirtual seminar, working from remote
Useful knowledgePython
Work distribution25% algorithm design, 50% programming, 25% running experiments
Med. Eng. designationAdvanced Context Recognition (ACR)
StudOn link
First meeting
RegistrationVia StudOn, obligatory after introduction.


Up-to-date literature recommendations are provided during the lectures.


  • Final project presentation, demonstrator and final report.


Dr. Luis I. Lopera G.

  • Job title: Researcher
  • Address:
    Henkestraße 91, Haus 7, 1. OG
    91052 Erlangen
  • Phone number: +49 9131 85-23605
  • Email:
Friedrich-Alexander-Universität Erlangen-Nürnberg