Project

ID 2454: Sensor-based Measurement of Fear Avoidance in Chronic Primary Lower Back Pain during Standardized Movement Tasks

Bachelor's / Master's Thesis / Research Internship / Project Fear avoidance (FA) beliefs (i.e. movements may lead to pain/injury) motivate patients with chronic primary low back pain (CPLBP) to avoid physical activity and may thereby contribute to the maintenance of pain and disability. Patients’ c...

ID 2453: Monitoring prodromal hyperkinetic movements using body worn sensors in Huntington’s Disease

Huntington's disease (HD) is a progressive neurodegenerative disorder that affects movement, cognition, and emotion. It is characterized by the gradual degeneration of neurons in the brain, particularly in regions responsible for motor control and coordination. The disease often begins in ...

ID 2452: Neural Network-Based Detection of Gait Battery Tests in Unsupervised Home Recordings

One of the primary methods for assessing gait and mobility in patients with Parkinson's Disease (PD) is through gait battery tests. These tests are typically conducted in clinical settings under the supervision of experts who interpret the symptoms and assess disease severity. However, these evaluat...

ID 2451: Developing an Open-Source Platform for Gaze Research

This project aims to develop an open-source online platform in the domain of gaze and eye-tracking research. The platform will be hosted on GitBook/GitHub, enabling robust version control and collaboration. A key focus will be establishing interoperability standards. Additionally, the project will i...

ID 2450: Incorporating Spatial Priors in Tissue Segmentation in Wound Images

Description: This project focuses on developing a deep learning model that accurately segments tissues in a wound by incorporate prior knowledge about the wound structure using spatial priors. This targeted solution aims to streamline the tissue segmentation process, ultimately contributing to the...

ID 2449: Superpixel-based Tissue Segmentation in Wound Images

Description: This project focuses on developing a deep learning model that accurately segments tissues in a wound using super pixel based image segmentation algorithms. This targeted solution aims to streamline the tissue segmentation process, ultimately contributing to the SWODDYS project's large...

ID 2446: EmpkinS C01: Physics-Informed Deep Learning for Movement Analysis and Control

Bachelor's / Master's Thesis / Research Internship / Project The real-time control and analysis of human poses and movements has long been a complex problem in fields like computer vision and machine learning. Physics-informed neural networks (PINNs) have recently shown promise in improving the acc...

ID 2433: Various Topics for Machine Learning and (Web) App Development in Health Psychology

Bachelor's / Master's Thesis / Research Internship / Project The aim of our research is to explore the potential of digital technologies in psychological research to better understand human psychology and behavior. Many psychological research areas still rely on “traditional” methods, such as labor...

ID 2432: EmpkinS D03 – Contactless Measurement of Acute Stress from Macro Movements

Bachelor's / Master's Thesis / Research Internship / Project The observation of body posture and movements is a promising extension to the established biopsychological markers for stress measurement, such as self-reports, saliva, or blood samples. Body posture and movements provide additional infor...

ID 2431: EmpkinS D03 – Contactless Measurement of Acute Stress from Micro Movements

Bachelor's / Master's Thesis / Research Internship / Project Acute stress reliably activates, among other pathways, the sympathetic nervous system, leading to changes in heart rate (variability) (HR and HRV), respiration, pre-ejection period (PEP), and electrodermal activity (EDA). So far, these pa...