Freezing of gait (FoG) is a common and disabling motor symptom in patients with Parkinson’s disease (PD), characterized by brief, episodic absence or marked reduction of forward progression of the feet despite the intention to walk. Patients often describe it as feeling as though their feet are “glu...
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...
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...
Bachelor's / Master's Thesis / Research Internship / Project
Psychological assessments often rely on subjective measures such as self-reports and interviews. However, recent advancements in computer vision and machine learning enable the extraction of objective biomarkers from video data, such as f...
Video-based animal re-identification has the potential to outperform image-based approaches by leveraging not only spatial but also temporal features. However, progress in this field is severely hindered by the lack of publicly available datasets. To address this, our group has developed one of the ...
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...
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...
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...
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...
Bachelor's / Master's Thesis / Research Internship / Project
Earliest project/thesis start in May 2025!
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...
