Research group focuses on the analysis of signals surrounding smart human-computer interfaces, i.e. engineering applications of modern artificial intelligence techniques to understand the meaning of the signals surrounding us (images, sounds, motor, neuro-cognitive and cognitive, etc). Research can be characterised by intelligent solutions, often based on deep learning principles, affecting people and their environment. For example, the aim to reproduce the invisible sides of images captured by depth sensors, to detect posture, to understand ambient sounds, to analyse videos and classify images according to what is depicted, to predict symptoms of disease, to detect the distinguishing features of signals emitted by the human body (motion, muscle, brain), to form intelligent solutions such as autonomous navigation and pathfinding, to encrypt, and to identify the person. Many of solutions and research are related to virtual reality technologies, which we apply to disease diagnostics, rehabilitation and training.
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