Master’s Thesis

ID 2430: EmpkinS D02 – Depression Detection from Body Posture and Movement

Depression is one of the most common mental health disorders, significantly reducing an individual’s quality of life. Psychologists use various methods to detect and assess depression, such as analyzing facial expressions, speech patterns, and head movements. In this research, our goal is to detect ...

ID 2429: SMARTbeat – Smart processing of non-invasive fetal ECG data from wearable sensors for an automatic detection of congenital heart diseases

Background: Congenital heart defects are the most common organ malformations in newborns. The prevalence in Germany is around 1.1%. The chances of recovery are often good, but early diagnosis and treatment is necessary to avoid life-threatening complications in the case of critical heart defects....

ID 2428: SMART Start – Biometrics of human pregnancy recorded by wearable devices

Background: In Germany, prenatal visits for normal-risk pregnancies are every 2-4 weeks. This low time resolution and reliance on subjective feedback instead of direct physiological measurement, could be augmented by remote monitoring. To date, continuous physiological measurements have not been ...

ID 2427: Facilitating the data acquisition process for ECT

Electroconvulsive therapy (ECT) is a psychiatric treatment in which seizures are electrically induced in patients to provide relief from severe mental disorders, such as severe depression, treatment-resistant depression, bipolar disorder, and schizophrenia. To improve the current treatment regime, ...

ID 2419: Decoding Foundation Models: Enhancing Understanding and Transparency

This work aims to investigate and analyze the intriguing properties exhibited by foundation models in deep learning, including vision, natural language processing (NLP), and multimodal models. The research intends to provide a comprehensive understanding of these properties to enhance the reliabilit...

ID 2367: iOS App Development for “CARWatch – An Open-Source Framework for Improving Cortisol Awakening Response Sampling”

Implementation / Master's Project Many studies investigating the cortisol awakening response (CAR) suffer from a lack of precise and objective methods for assessing the awakening and saliva sampling times. Failure to correctly report times or to adhere to the study protocol, which is common in unsu...

ID 2362: AI-driven biomechanical golf swing analysis

Master's Thesis / Research Internship / Student Assistant The golf swing is arguably one of the most complex whole-body movements in sports . It requires significant physiological effort and precise neuromuscular control to accelerate the clubhead to more than 160 km/h in one-fifth of a second . Th...

ID 2361: AI-driven coaching for golf swing improvement

ID2355: Auswertung von Radardaten zur Personen- und Objekterkennung mittels KI-Netzen (Kooperation mit Enertex Bayern GmbH)

Master's thesis Hintergrund Im Rahmen des Forschungsprojekts „KOSIR“ wurden Radardaten für eine KI-basierte Auswertung aufgezeichnet. Dazu wurde ein Messstand erstellt, der einen Radarsensor im 60 GHz-Band und zwei Microsoft Azure Kinect-Kaberas enthält. Mit Hilfe der Kameras wurden Radardaten in ...

ID 2343: Developing Machine Learning Methods for Genetic and Physiological Analysis in Depression

Master's Thesis Background: In recent years, there has been increasing focus on the immune system's involvement in psychiatric disorders, including Major Depressive Disorders (MDD). Genetic variants associated with MDD have been linked to immune response pathways. Additionally, genetic facto...