Welcome

We believe that Wireless Sensor Networks are able to strongly improve current technologies and boost the (re)invention of new ones.

They give rise to many pervasive applications in fields such as localization, logistics, monitoring of human and environmental activities.

Our efforts focus on studying these challenging systems and developing new solutions to common problems.

Fall database interface (beta) is now available

This tool provides acceleration traces for human movements analysis. It includes falls and a large variety of activities of daily living (sitting, lying, etc.) . The aim of this tool is twofold: It is meant to help researchers and scientists developing algorithms for activity recognition without the problem of collecting data, which sometimes can be very difficult (e.g. collecting falls). It is also open to the scientific community which can enrich this database by uploading data given by other experiments on human movement analysis.

Two more publications have been added

MIMS: A Minimally Invasive Monitoring Sensor Platform, Sensors Journal, IEEE

Developing cognitive decline baseline for normal ageing from sleep-EEG monitoring using wireless neurosensor devices, Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on , vol., no., pp.001527-001531, 8-11 May 2011.

See them in the Publications section.

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