ICT4Life Open Source Libraries supporting Multimodal Analysis of different diseases

Abstract:


The ICT4Life Open Source framework contains libraries for acquiring and processing data from different sensors, machine learning algorithms for activity recognition, as well as fusion methods of multiple modalities either at an early or at a late stage. The main purpose of the introduced system is to enable an easy customization of patients’ monitoring using different types of sensors. Furthermore, by allowing an easy integration of new sensors or types of activities, the proposed subsystem supports the development of new solutions for different diseases, than the ones considered in the ICT4Life project.


  • T. Theodoridis, D. Dotti, M. Popa, V. Solachidis, N. Vretos, P. Daras, G. Hernandez, F. Alvarez, A. Gonzales Paton, A. Lopez, "ICT4Life Open Source Libraries supporting Multimodal Analysis of different diseases", 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Lecce, Italy, 29 Aug – 1 Sept, 2017

  • Full document available here.
    Contact Information

    Dr. Petros Daras, Principal Researcher Grade Α
    1st km Thermi – Panorama, 57001, Thessaloniki, Greece
    P.O.Box: 60361
    Tel.: +30 2310 464160 (ext. 156)
    Fax: +30 2310 464164
    Email: daras@iti.gr