Theses started in 2019

College student   Thesis title   Supervisors   Duration   Bachelor
thesis 
Master
thesis 
Nico Simoski   Control and Optimization of Magnetic Sensors    Christin Bald,
Gerhard Schmidt
  Januar 2019 -
Juni 2019
   
Mahamed Hussein Al-Nedjefi   Implementation of Source Separation Algorithms for Magnetic Sensor Systems    Christin Bald,
Gerhard Schmidt
  March 2019 -
Juni 2019
   
Helke Pfahler   Human Movement Analysis Using Inertial Measurement Units    Robbin Romijnders,
Gerhard Schmidt
  March 2019 -
Juni 2019
   
Tobias Seide   Siren Detection using Artificial Neural Networks    Tobias Hübschen,
Gerhard Schmidt
  April 2019 -
October 2019
   
Tim Rocholl   Hearing Aid based Movement Analysis    Finn Spitz,
Gerhard Schmidt
  April 2019 -
Juli 2019
   
Patricia Piepjohn   Real-time Classification of Movement Patterns of Tremor Patients    Christin Bald,
Gerhard Schmidt
  April 2019 -
October 2019
   

Website News

07.08.2019: Talk from Juan Rafael Orozco-Arroyave added.

11.07.2019: First free KiRAT version released - a game for Parkinson patients

25.06.2019: About 30 pupils from the Isarnwohld-Schule in Gettorf visited us.

02.05.2019: Christin Baasch finished sucessfully her defense on the evaluation of Parkinson speech.

30.11.2018: New student project on driver distraction added.

Recent Publications

   

J. Reermann, E. Elzenheimer and G. Schmidt: Real-time Biomagnetic Signal Processing for Uncooled Magnetometers in Cardiology, IEEE Sensors Journal, Volume 15, Number 10, Pages 4237-4249, June 2019, doi: 10.1109/JSEN.2019.2893236

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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