The Multisensor Systems and Robotics (SiMuR) group focuses its activity on the design and characterization of wearable multisensor systems for the analysis of human movement, with the aim of making movement a signal that can be measured continuously and reliably, beyond the laboratory.

The main objective of the group is the development of methods to estimate in real time human-motion variables that no single instrument can provide on its own: step length, joint and spine angles, the intention to change direction, or travelled distance in GPS-denied environments. We recover these variables from few, everyday sensors, combining sensor fusion with physics-informed learning and quantifying how much each estimate can be trusted, validated against the optical ground truth of our MovLab motion-capture laboratory. 

The goal is to improve the impact of sensor-fusion technologies in the fields where human movement matters most: active and healthy ageing, rehabilitation, sports performance, occupational health, and human-robot interaction. We aim to turn movement into a continuous and trustworthy signal, bridging the gap between raw sensor data and reliable, decision-grade information that clinicians, athletes, industry and robots can actually act upon.

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