Work or Study with us Archive

Course/Project description Head landmarks are the key points that describe the shape of the head attributes, e.g. eyes, nose, and chin etc. Most available landmark detection algorithms focus on the facial landmarks detection, which do not cover ears. However, ears are very important reference posit... Continue

Course/Project description Fitting eyeglasses to head via trial and error is inefficient. The proposed student project aims at automating the eyeglasses fitting process by using head image information with the target to generate eyeglasses frames (key points) using only facial landmarks (key points... Continue

Seminar Description Digital Health integrates various information sources to extract medical insight and provide personalised health services as well as support for medical professionals. This seminar is intended for PhD students and Postdocs of the Chair of Digital Health to present their work. Ba... Continue

Course description The course provides an overview on the design of wearable and implantable computing systems. The overview is structured in three parts: context recognition, electronic systems and sensors,  and additive manufacturing methods. Pattern analysis and machine learning methods to proce... Continue

Seminar Description Recently, fabrication of the flexible and stretchable sensors is extensively investigated especially for the biomedical applications in the context of health monitoring systems. This sensor could be developed into wearable or skin-attachable devices. Various techniques might be ... Continue

Seminar Description Recently, the use of 3D-printing technology for the manufacturing of sensors is gaining increasingly interest in the field of sensor fabrication technology. 3D printing provides the fabrication of complex geometric forms along with combining of selected functional components int... Continue

The aim of the seminar is to design knowledge extraction algorithms based on deep learning techniques for activity recognition in free-living using wearable sensing systems. Challenges will be related to imbalance of target classes, scarcity of computational resources and design of parallel computin... Continue

The aim of the project is to design an energy-efficient context-aware strategy for activity recognition using sparse sampling and sensor data compression. Prototyping will be done in Python. Evaluation will be performed on free-living dataset and benchmarked in terms of energy/memory savings, time c... Continue

Seminar description Smart environments contain a "zoo" of devices which make them smart. The challenge is always to configure a unified control system which will cope with the different types of devices and providers for a smart environment installation. In this seminar, we will analyze some of the... Continue

Seminar description In machine learning, tasks like parametric search or cross-validation are time intensive. In this seminar, we will explore how to use multithreading, multiprocessing, and compute clusters to reduce the execution time of machine learning frameworks. Additionally, we will cover so... Continue