Work or Study with us Archive

Background The COVID-19 pandemic has revealed the necessity and potential of digital systems in helping researchers tracking symptoms and other biomarkers of the population. The NUM-COMPASS project was funded to create a unified framework that helps researchers with developing apps for pandemic stu... Continue

Background With the rapid development of computer vision and AI technology, the personalisation of eyeglasses is processed by algorithms. Algorithms can be good at anthropometric fitting, i.e. deciding the dimensions of eyeglasses, yet weak in dealing with the aesthetic preferences. A typical chall... Continue

Background Sensors are integrated into smart eyeglasses for daily activity monitoring. Some of the sensors must be configured at specific eyeglasses locations with proper orientations to function correctly and effectively. The optimal sensor configuration varies from head to head. In current practi... Continue

Background Wearable technology often requires devices to be personalized in order to achieve comfort and usability requirements for a long-term, inconspicuous monitoring of the user health. We propose to implement an algorithm to automate the customization and fitting of smart clothes. Aim Implem... Continue

Background Machine learning methods can nowadays be very helpful to automatically collect data and build large-sized datasets. However, the retrieved datasets need to be cataloged before being further processed. The project aims at implementing a convenient algorithm for the automatic tagging of au... Continue

Background Auscultation is a standard medical practice performed by clinicians when inspecting a patient during preliminary examinations. Auscultation is usually performed by using the stethoscope to listen to the body sounds. Wearable technology can automatize listening to body sounds and make the... Continue

Background Electromyography (EMG) has been extensively used in various digital health applications. In this field, miniaturization is crucial, as health data shall be recorded without influencing the daily life of the patient. To meet these requirements while avoiding signal loss, wearable designs ... Continue

Background Monitoring and quantifying evaluation of functional motion is essential for many clinical applications and disease pattern e.g. patients suffering from ankylosing spondylitis (AS), a form of arthritis affecting primarily the spine. Therefore, different measurement techniques ranging from... Continue

Background Musculoskeletal modeling has gained popularity over the last decade as it represents a valuable tool to noninvasively investigate the relationship between body motion and internal biomechanical loads. Furthermore, it allows the simulation of motion sensor data, which is subsequently cons... Continue

Background Neural Networks outperform traditional machine learning approaches in many applications. This is very often caused by high computational efforts of deep models. In wearable contexts, models have to be very efficient if they are run on an embedded system to save battery life. These constr... Continue