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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

Background Determining what food is consumed during a meal is a central research challenge of Automated Dietary Monitoring (ADM). During chewing, food breaks down and generates unique vibration signals which can be recorded with sensor-integrated wearables. Chewing vibration data usually contain ri... Continue

Background Poor nutritional behaviour is considered a major risk factor for the development of various chronic diseases. Smartphone apps offer the possibility to influence nutritional behaviour positively by monitoring and providing direct feedback. Since the use of smartphones is increasing also a... Continue

Click here for the English version. Warum wird diese Studie durchgeführt? Das Ziel dieser Studie ist die Beobachtung und Analyse von Magen-Darm Geräuschen, die während der Verdauung im Bereich des Bauches auftreten. Die Daten werden vom GastroDigitalShirt Prototyp aufgenommen und gespeichert. Die ... Continue

Background Nowadays the new digital modelling techniques can speed up the personalisation of wearables as well as the rapid prototyping. However, the personalisation might require very precise human body measurements which can be tedious if done manually. The project aims at implementing a convenie... Continue

Background Web scraping methods can nowadays be very helpful to automatically collect data and build large-sized datasets which can be necessary when developing machine learning algorithms. The project aims at implementing a convenient algorithm for the automatic extraction and tagging of audio dat... 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. The goal of this work is to develop and 3D print a novel stethoscope to... 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 speed up the customization and manufacturing of smart clothes. Ai... Continue

Monitoring and quantifying evaluation of functional motion is essential for patients with ankylosing spondylitis (AS), a form of arthritis affecting primarily the spine. Personalisation of quantified measurements allows clinicians to regulate and control drug-based treatment to ease pain in AS patie... Continue