This projects aims at analysing data of wearable sensors of motion detection by means of artificial intellgence. It identifies and analyses on the one hand certain patterns of movements in every day life (e.g. getting up from a chair) and on the other hand certain pathological, desease induced incidents (precipitation) in order to assess the patient's general health or progression of a therapy. The technical tools are to be designed such that medical personnel as well as laymen can apply it with ease. The project simultaniously addresses questions linked to ethics, data security, and product liablity of medical equipment..
For more information, please take a look at our project pages.
