Sep 21, 2021

 

Award for the Best Thesis in Applied Signal Processing

Moritz BouekeEvery year, the Gesellschaft für angewandte Signalverarbeitung (GaS) e.V. (Society for Applied Signal Processing) awards students in the field of digital signal processing and system theory who have completed outstanding theses. Particular attention is paid to the scientific and technical standards as well as the practical relevance of the work. In addition, the student's commitment and ability to work interdisciplinary and in a team are evaluated.

As part of this year's GaS Online General Assembly, Moritz Boueke, B.Sc., was awarded the title "Human Movement Classification using IMUs in Real-time" for his bachelor thesis. Mr. Boueke's work focused on the detection and differentiation of various everyday activities based on sensor data collected with inertial measurement units (IMUs). In our ageing society, neurodegenerative diseases such as Parkinson's are of high clinical relevance. In this context, the recording of movement patterns is an important tool in diagnosis and therapy. The trend is shifting from measurements in the clinical movement laboratory to measurements in the home environment, in which wearable sensors (so-called wearables) are used.

The identification of activities in the comparatively large amount of data is an important step in order to subsequently carry out targeted medical analyses, in which e.g. only stand-up processes are to be considered. As part of his work, Mr. Boueke has created extensive signal processing structures in the real-time framework KiRAT (Kiel Real-Time Application Toolkit), which lay a foundational foundation for this. This includes pre-processing of the sensor data, feature extraction, a decision tree for the actual classification and the preparation of intermediate results for visualization. As a result, activities such as "walking", "brushing" or "sitting down" can now be classified in real time with a state-of-the-art IMU system.

Neurogeriatrics, Department of Neurology, UKSH Campus Kiel, under the direction of Professor Walter Maetzler, acted as a medical project partner: "The award-winning work here is extremely innovative and user-oriented in an area that we physicians have paid too little attention to date: the natural home environment of our patients. With the presented work, Mr. Boueke succeeds in classifying relevant activities of daily life. This can be built on in many ways, with the ultimate goal of better diagnosis and treatment, especially of movement disorders. I would therefore like to congratulate Mr. Boueke and the supervisors on their work!" said Maetzler.

Congratulations from the institute.

Bio-inspired Computation

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Communications

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Computational Electromagnetics

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Digital Signal Processing and System Theory

  • color_key Prof. Dr. Gerhard Schmidt
Information and Coding Theory

  • color_key Prof. Dr. Peter A. Höher
Integrated Systems and Photonics

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Microwave Engineering

  • color_key Prof. Dr. Michael Höft
Nanoelectronics

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Networked Electronic Systems

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Power Electronics

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Theoretical Electrical Engineering

  • color_key Prof. Dr. Jan Trieschmann