Description:
In the last few years, in the
electronic consumer market many low cost sensing devices have
become available, including activity-tracking wristbands with
accelerometers and monitoring of heart rate, skin conductance
and temperature; motion and gesture trackers; eye trackers;
and wireless brain activity trackers employing few selected
eeg channels. Those sensing devices, possibly integrated with
standard computer and mobile phones and tablets, make possible
the development of individual health and wellbeing supports,
including monitoring of the health state of fragile people,
sleep analysis, and serious games for cognitive and physical
rehabilitation. The development of new innovative
Computational Intelligence techniques (Neural Networks,
Evolutionary Computation and Fuzzy Logic) for supervised and
unsupervised analysis of the masses of sensor data potentially
available is one of the main challenging tasks of this
activity. The project will be carried out in the framework of
collaborations with clinical partners, with the aim of improving the health
assistance and the wellbeing, and to reduce the costs of
medical care.
Link to the group or
personal Webpage: http://www.disi.unige.it/person/MasulliF/ricerca/index.html
Requirements: background in
computer science, bioengineering, computer engineering,
physics or related disciplines.
Reference:
Anguera J, et
al, Video game training enhances cognitive control in
older adults. Nature. 2013 Sep 5;501(7465):97-101.
Contacts:
francesco.masulli@unige.it