Research Area

  • Title:
    Embedded AI for Disease Diagnosis and Human Activity Recognition

  • Keywords:

    Diseases classification, Human activity recognition, RNN, LSTM

  • Description:
    This research aims to develop algorithm for human activity detection as well as the diagnosis of patients based on the investigation of data collected from sensors. The main applications are:
    • Automatic computer-aided diagnosis systems
    • Wearable devices embedding AI algorithms
  • Laboratory:

    Embedded Systems and Artificial Intelligence Lab

  • Contact Person:

    Laura Falaschetti

  • Collaborations:
    Clinica Neurologica, Azienda Ospedaliero Universitaria “Ospedali Riuniti Ancona”