Section: Application Domains

Application Domains

In order to carry on its basic research program, the MAIA team has developed and is developing a strong known-how in sequential or distributed decision making. In particular, mathematical tools such as Markov decision processes, hidden Markov models or Bayesian Networks are appropriate and are used by the team for the development of real applications such as:

• monitoring the hydration state of patients suffering from kidney disease.

  Through “Dialhemo” (see Sec.  5.1.2 ), the Maia team helps physicians to monitor patients by using stochastic models.

• elderly fall prevention.

  The PréDICA project (see Sec.  8.1.2 ) illustrates the use of particle filtering to detect loss of autonomy for elderly people.

• Coordination of intelligent vehicles and swarms of AUV (flying drones), see 8.1.1 ).