Seminar/Thesis: Design of database and labelling tool for context recognition tasks

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Today’s data collection usually uses different types of sensors that store data in different formats. Therefore, a well-structured database is a useful tool for further processing of the data. Especially in context recognition tasks, annotating the merged data plays a key role in being able to perform analysis/ evaluation and derive further conclusions.


In this seminar we will extend the current design of a database that retrieves data of different data formats from wearable measurement devices. It should be further developed to merge the data and annotate it (labelling tool) to enable context recognition pipelines. Depending on the project level, data analysis and evaluation will be part of the project.

Learning Objectives

  • Apply database programming knowledge
  • Develop corresponding algorithms
  • Learn and apply concepts of context recognition


Project typeSeminar/Thesis
ECTS2.5, 5, 7.5 /10
LanguageEnglish/ German
PeriodWinter term 2021
Presence timeVirtual, working from remote, depending on the needs
Useful knowledgedatabase programming (mySQL), python programming
Work distribution100% programming and algorithm development
Med. Eng. designationAdvanced Context Recognition (ACR)
StudOn link
First meetingonline-introduction-vorbesprechung-of-winter-term-2021/22-seminars, on 19th October 2021 at 16:00
Registrationvia StudOn or E-Mail to


Literature recommendations are provided during the meetings. The candidate is further encouraged to research relevant publications on this topic.


Final presentation and final report/thesis


Lena Uhlenberg

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