Machine Learning achieves good success for automatic fall detection based on wearable sensors. Our iCoSys members Nicolas Zurbuchen and Pascal Bruegger, in collaboration with Adriana Wilde from the Centre for Health Technologies at the University of Southampton defined new state of the art results in their publication in Sensors magazine (Sensors 2021, 21(3), 938; https://doi.org/10.3390/s21030938). Congrats to them. […]
Read more Sensors Magazine – Machine Learning For Fall Detection Using Wearable Sensors
The Institute
A system is said “complex” when it is composed of many intertwined subsystems and for which it is difficult to establish simple rules explaining its behavior/evolution. The research Institute for Complex Systems defines its scope in this emerging field for which informatics, intelligent data analysis, massively distributed computing, mathematical modeling and systems engineering are the main supports.
iCoSys fosters technological innovation in the field of complex system for sustainable economic development and better education. By promoting the transfer of knowledge and technology from the academic field to the local and regional economy, the Institute intends to develop interdisciplinary approaches and build national and international cooperation.
Current research activities and achievements are in environmental applications, smart buildings, energy management, pathology detection, intelligent wireless networks, smart mobility or event detection in video surveillance. The institute specializes in areas such as massive information processing, cloud computing, machine learning, business intelligence and signal processing.