Smartwatches for Sport Applications

Overview

In this project we - a group of 13 students (electrical engineering) - investigate the usage of so-called smartwatches for sport applications. Our general goal is to get accurate motion information out of the data we can collect through smartwatches. Most smartwatches these days have all kinds of sensors, but especially interesting for our motion analysis are the gyroscopes and accelerometers. With this data we hope to capture how you move and then for example recall what you did or how well you’ve been doing. Every sport needs a different approach, so we’ve split up in teams to optimise what we know best and bring all of our knowledge into the analysis.

Participating Students

  • Alexander Weber
  • Dawyd Klimaschewski
  • Ruben Fiedler
  • Julian Jebe
  • Johannes Hoffmann
  • Daniel Beus
  • Fabian Bauer
  • Jannek Winter
  • Tim Rocholl
  • Michelle Djomo Njamen
  • Solveig Baschin
  • Kristina Apelt
  • Michel Boldt

Supervisors

  • Marco Gimm
  • Bastian Kaulen
  • Gerhard Schmidt

 

Student Projects - Overview

The DSS team offers student projects. With these projects we try to support the idea of project-based learning. This means that most of our projects are designed such, that a multitude of studends can work on that project. Beside solving the individual task, studends should also learn how to split the problem into smaller subproblems and to organize the resulting subprojects. Software packages such as SVN, etc. should support this idea.

Past and ongoing student projects:

Usually, these projects are announced in the lecture "Signals and Systems". However, if you are interested in such projects and do not participate in this lecture, please contact Prof. Schmidt for further details.

In addition, we participate in support programs for women in science. If you are interested in doing a research-based project, please contact us. However, please be aware that such programms are not always active and usually support women in their master study period.

Past and ongoing woman support projects:

Contact

Prof. Dr.-Ing. Gerhard Schmidt

E-Mail: gus@tf.uni-kiel.de

Christian-Albrechts-Universität zu Kiel
Faculty of Engineering
Institute for Electrical Engineering and Information Engineering
Digital Signal Processing and System Theory

Kaiserstr. 2
24143 Kiel, Germany

How to find us

Recent News

TensorFlow and Escape Rooms

The last two days (Monday and Tuesday, September 16 and 17, 2019), the whole DSS team did a course on TensorFlow and Keras. Since we already have interfaces of TensorFlow to our real-time tool KiRAT, it was time now to extend our knowledge on graphs and the corresponding training of weights, biases, etc. After two days of hard work we booked two escape rooms and solved the "secrets" hidden in ...


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