Seminar: Capturing and Processing Biomarkers Using Earables

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Novel wireless in-ear headphones can do more than playing music. They come with various types of sensors, e.g. microphones, inertial measurement unit (IMU) or accelerometer. This makes such earables interesting in health contexts. The goal of this seminar is to investigate the usefulness of these different sensors for digital health applications. Students are encouraged to experiment with the headphones, examine the data and apply appropriate algorithms to it. The results may be used to develop an app which could monitor different biomarkers and give some insights of the user’s everyday life behaviour. Depending on the number of participants, this seminar might work as a project, where the work is split up into three parts: experiments, algorithm development and app design.


Investigate usefulness of earables in digital health contexts; Develop algorithms for biomarker processing of sensor data; App development

Learning Objectives

  • Understand different sensor types and their digital health applications
  • Develop algorithms for biomarker processing
  • Design of an app for sensor monitoring and health tracking


Project type Seminar
ECTS 2.5, 5, 7.5
Language English and/or German
Period Summer term 2020/21
Presence time Virtual seminar, working from remote
Useful knowledge Signal Processing in Python, app development
Work distribution Depending on your focus: experimental, algorithmic, app development
Med. Eng. designation Advanced Context Recognition (ACR)
StudOn link online introduction/ Vorbesprechung
Registration Via StudOn, obligatory after introduction.


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


Final presentation and final report.


David Kopyto

  • Job title: Researcher
  • Address:
    Henkestraße 91, Haus 7, 1. OG
    91052 Erlangen
  • Phone number: +49 9131 85-23608
  • Email:

Friedrich-Alexander-Universität Erlangen-Nürnberg