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
- Understand different sensor types and their digital health applications
- Develop algorithms for biomarker processing
- Design of an app for sensor monitoring and health tracking
|ECTS||2.5, 5, 7.5|
|Language||English and/or German|
|Period||Winter term 20/21|
|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||Link will follow shortly.|
|First meeting||Online introduction/Vorbesprechung, see: Link|
|Registration||Via StudOn, obligatory after introduction.|
Up-to-date literature recommendations are provided during the meetings.
Final presentation and final report.