ICT4Life Open Source Libraries supporting Multimodal Analysis of different diseases

T. Theodoridis*, V. Solachidis, N. Vretos, P. Daras, D. Dotti, M. Popa, G. Hernandez, F. Alvarez, A.G. Paton, A. Lopez

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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.
Original languageEnglish
Title of host publication2017 14TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE (AVSS)
PublisherIEEE
Number of pages6
ISBN (Print)9781538629390
Publication statusPublished - 2017
Event14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) - , Italy
Duration: 30 Aug 20171 Sept 2017
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=58382

Conference

Conference14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
Country/TerritoryItaly
Period30/08/171/09/17
Internet address

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